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2025-06-28 03:48:18 - Traduire -

NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR

NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognitionconference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop.
This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR.
The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehiclesimulation framework.
The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs.
Generating Safe and Adaptive Driving Trajectories
Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically.
Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research.
The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoringmethod, which generates a variety of trajectories and progressively filters out the best one.
GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories.
GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories.
This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions.

NVIDIA Automotive Research at CVPR
More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more.
In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+.
The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs:

Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion ModelsFoundationStereo: Zero-Shot Stereo MatchingZero-Shot Monocular Scene Flow Estimation in the WildDifix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
Zero-Shot 4D Lidar Panoptic Segmentation
NVILA: Efficient Frontier Visual Language Models
RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning

Explore automotive workshops and tutorials at CVPR, including:

Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA
Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA
Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe
Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA
Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe
Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone
LatinX in CV Workshop, featuring Leal-Taixe
Workshop on Exploring the Next Generation of Data, featuring Alvarez
Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA
Continuous Data Cycle via Foundation Models, led by NVIDIA
Distillation of Foundation Models for Autonomous Driving, led by NVIDIA

Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang.
Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics.
The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model.
#nvidia #scores #consecutive #win #endtoend

NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR
NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognitionconference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR. The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehiclesimulation framework. The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs. Generating Safe and Adaptive Driving Trajectories Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically. Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research. The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoringmethod, which generates a variety of trajectories and progressively filters out the best one. GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories. GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories. This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions. NVIDIA Automotive Research at CVPR More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more. In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+. The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs: Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion ModelsFoundationStereo: Zero-Shot Stereo MatchingZero-Shot Monocular Scene Flow Estimation in the WildDifix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zero-Shot 4D Lidar Panoptic Segmentation NVILA: Efficient Frontier Visual Language Models RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning Explore automotive workshops and tutorials at CVPR, including: Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone LatinX in CV Workshop, featuring Leal-Taixe Workshop on Exploring the Next Generation of Data, featuring Alvarez Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA Continuous Data Cycle via Foundation Models, led by NVIDIA Distillation of Foundation Models for Autonomous Driving, led by NVIDIA Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang. Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics. The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model. #nvidia #scores #consecutive #win #endtoend

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NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR
NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR. The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehicle (AV) simulation framework. The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs. Generating Safe and Adaptive Driving Trajectories Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically. Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research. The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoring (GTRS) method, which generates a variety of trajectories and progressively filters out the best one. GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories. GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories. This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions. NVIDIA Automotive Research at CVPR More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more. In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+. The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs: Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion Models (Read more in this blog.) FoundationStereo: Zero-Shot Stereo Matching (Best Paper nominee) Zero-Shot Monocular Scene Flow Estimation in the Wild (Best Paper nominee) Difix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models (Best Paper nominee) 3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zero-Shot 4D Lidar Panoptic Segmentation NVILA: Efficient Frontier Visual Language Models RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning Explore automotive workshops and tutorials at CVPR, including: Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone LatinX in CV Workshop, featuring Leal-Taixe Workshop on Exploring the Next Generation of Data, featuring Alvarez Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA Continuous Data Cycle via Foundation Models, led by NVIDIA Distillation of Foundation Models for Autonomous Driving, led by NVIDIA Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang. Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics. The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model.

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NVIDIA partage un lien
2025-06-27 21:47:21 - Traduire -

Retail Reboot: Major Global Brands Transform End-to-End Operations With NVIDIA

AI is packing and shipping efficiency for the retail and consumer packaged goodsindustries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs.
Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re marketed, shipped and experienced in-store and online.
At NVIDIA GTC Paris at VivaTech, industry leaders including L’Oréal, LVMH and Nestlé shared how they’re using tools like AI agents and physical AI — powered by NVIDIA AI and simulation technologies — across every step of the product lifecycle to enhance operations and experiences for partners, customers and employees.
3D Digital Twins and AI Transform Marketing, Advertising and Product Design
The meeting of generative AI and 3D product digital twins results in unlimited creative potential.
Nestlé, the world’s largest food and beverage company, today announced a collaboration with NVIDIA and Accenture to launch a new, AI-powered in-house service that will create high-quality product content at scale for e-commerce and digital media channels.
The new content service, based on digital twins powered by the NVIDIA Omniverse platform, creates exact 3D virtual replicas of physical products. Product packaging can be adjusted or localized digitally, enabling seamless integration into various environments, such as seasonal campaigns or channel-specific formats. This means that new creative content can be generated without having to constantly reshoot from scratch.
Image courtesy of Nestlé
The service is developed in partnership with Accenture Song, using Accenture AI Refinery built on NVIDIA Omniverse for advanced digital twin creation. It uses NVIDIA AI Enterprise for generative AI, hosted on Microsoft Azure for robust cloud infrastructure.
Nestlé already has a baseline of 4,000 3D digital products — mainly for global brands — with the ambition to convert a total of 10,000 products into digital twins in the next two years across global and local brands.
LVMH, the world’s leading luxury goods company, home to 75 distinguished maisons, is bringing 3D digital twins to its content production processes through its wine and spirits division, Moët Hennessy.
The group partnered with content configuration engine Grip to develop a solution using the NVIDIA Omniverse platform, which enables the creation of 3D digital twins that power content variation production. With Grip’s solution, Moët Hennessy teams can quickly generate digital marketing assets and experiences to promote luxury products at scale.
The initiative, led by Capucine Lafarge and Chloé Fournier, has been recognized by LVMH as a leading approach to scaling content creation.
Image courtesy of Grip
L’Oréal Gives Marketing and Online Shopping an AI Makeover
Innovation starts at the drawing board. Today, that board is digital — and it’s powered by AI.
L’Oréal Groupe, the world’s leading beauty player, announced its collaboration with NVIDIA today. Through this collaboration, L’Oréal and its partner ecosystem will leverage the NVIDIA AI Enterprise platform to transform its consumer beauty experiences, marketing and advertising content pipelines.
“AI doesn’t think with the same constraints as a human being. That opens new avenues for creativity,” said Anne Machet, global head of content and entertainment at L’Oréal. “Generative AI enables our teams and partner agencies to explore creative possibilities.”
CreAItech, L’Oréal’s generative AI content platform, is augmenting the creativity of marketing and content teams. Combining a modular ecosystem of models, expertise, technologies and partners — including NVIDIA — CreAltech empowers marketers to generate thousands of unique, on-brand images, videos and lines of text for diverse platforms and global audiences.
The solution empowers L’Oréal’s marketing teams to quickly iterate on campaigns that improve consumer engagement across social media, e-commerce content and influencer marketing — driving higher conversion rates.

Noli.com, the first AI-powered multi-brand marketplace startup founded and backed by the L’Oréal Groupe, is reinventing how people discover and shop for beauty products.
Noli’s AI Beauty Matchmaker experience uses L’Oréal Groupe’s century-long expertise in beauty, including its extensive knowledge of beauty science, beauty tech and consumer insights, built from over 1 million skin data points and analysis of thousands of product formulations. It gives users a BeautyDNA profile with expert-level guidance and personalized product recommendations for skincare and haircare.
“Beauty shoppers are often overwhelmed by choice and struggling to find the products that are right for them,” said Amos Susskind, founder and CEO of Noli. “By applying the latest AI models accelerated by NVIDIA and Accenture to the unparalleled knowledge base and expertise of the L’Oréal Groupe, we can provide hyper-personalized, explainable recommendations to our users.”

The Accenture AI Refinery, powered by NVIDIA AI Enterprise, will provide the platform for Noli to experiment and scale. Noli’s new agent models will use NVIDIA NIM and NVIDIA NeMo microservices, including NeMo Retriever, running on Microsoft Azure.
Rapid Innovation With the NVIDIA Partner Ecosystem
NVIDIA’s ecosystem of solution provider partners empowers retail and CPG companies to innovate faster, personalize customer experiences, and optimize operations with NVIDIA accelerated computing and AI.
Global digital agency Monks is reshaping the landscape of AI-driven marketing, creative production and enterprise transformation. At the heart of their innovation lies the Monks.Flow platform that enhances both the speed and sophistication of creative workflows through NVIDIA Omniverse, NVIDIA NIM microservices and Triton Inference Server for lightning-fast inference.
AI image solutions provider Bria is helping retail giants like Lidl and L’Oreal to enhance marketing asset creation. Bria AI transforms static product images into compelling, dynamic advertisements that can be quickly scaled for use across any marketing need.
The company’s generative AI platform uses NVIDIA Triton Inference Server software and the NVIDIA TensorRT software development kit for accelerated inference, as well as NVIDIA NIM and NeMo microservices for quick image generation at scale.
Physical AI Brings Acceleration to Supply Chain and Logistics
AI’s impact extends far beyond the digital world. Physical AI-powered warehousing robots, for example, are helping maximize efficiency in retail supply chain operations. Four in five retail companies have reported that AI has helped reduce supply chain operational costs, with 25% reporting cost reductions of at least 10%.
Technology providers Lyric, KoiReader Technologies and Exotec are tackling the challenges of integrating AI into complex warehouse environments.
Lyric is using the NVIDIA cuOpt GPU-accelerated solver for warehouse network planning and route optimization, and is collaborating with NVIDIA to apply the technology to broader supply chain decision-making problems. KoiReader Technologies is tapping the NVIDIA Metropolis stack for its computer vision solutions within logistics, supply chain and manufacturing environments using the KoiVision Platform. And Exotec is using NVIDIA CUDA libraries and the NVIDIA JetPack software development kit for embedded robotic systems in warehouse and distribution centers.
From real-time robotics orchestration to predictive maintenance, these solutions are delivering impact on uptime, throughput and cost savings for supply chain operations.
Learn more by joining a follow-up discussion on digital twins and AI-powered creativity with Microsoft, Nestlé, Accenture and NVIDIA at Cannes Lions on Monday, June 16.
Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
#retail #reboot #major #global #brands

Retail Reboot: Major Global Brands Transform End-to-End Operations With NVIDIA
AI is packing and shipping efficiency for the retail and consumer packaged goodsindustries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs. Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re marketed, shipped and experienced in-store and online. At NVIDIA GTC Paris at VivaTech, industry leaders including L’Oréal, LVMH and Nestlé shared how they’re using tools like AI agents and physical AI — powered by NVIDIA AI and simulation technologies — across every step of the product lifecycle to enhance operations and experiences for partners, customers and employees. 3D Digital Twins and AI Transform Marketing, Advertising and Product Design The meeting of generative AI and 3D product digital twins results in unlimited creative potential. Nestlé, the world’s largest food and beverage company, today announced a collaboration with NVIDIA and Accenture to launch a new, AI-powered in-house service that will create high-quality product content at scale for e-commerce and digital media channels. The new content service, based on digital twins powered by the NVIDIA Omniverse platform, creates exact 3D virtual replicas of physical products. Product packaging can be adjusted or localized digitally, enabling seamless integration into various environments, such as seasonal campaigns or channel-specific formats. This means that new creative content can be generated without having to constantly reshoot from scratch. Image courtesy of Nestlé The service is developed in partnership with Accenture Song, using Accenture AI Refinery built on NVIDIA Omniverse for advanced digital twin creation. It uses NVIDIA AI Enterprise for generative AI, hosted on Microsoft Azure for robust cloud infrastructure. Nestlé already has a baseline of 4,000 3D digital products — mainly for global brands — with the ambition to convert a total of 10,000 products into digital twins in the next two years across global and local brands. LVMH, the world’s leading luxury goods company, home to 75 distinguished maisons, is bringing 3D digital twins to its content production processes through its wine and spirits division, Moët Hennessy. The group partnered with content configuration engine Grip to develop a solution using the NVIDIA Omniverse platform, which enables the creation of 3D digital twins that power content variation production. With Grip’s solution, Moët Hennessy teams can quickly generate digital marketing assets and experiences to promote luxury products at scale. The initiative, led by Capucine Lafarge and Chloé Fournier, has been recognized by LVMH as a leading approach to scaling content creation. Image courtesy of Grip L’Oréal Gives Marketing and Online Shopping an AI Makeover Innovation starts at the drawing board. Today, that board is digital — and it’s powered by AI. L’Oréal Groupe, the world’s leading beauty player, announced its collaboration with NVIDIA today. Through this collaboration, L’Oréal and its partner ecosystem will leverage the NVIDIA AI Enterprise platform to transform its consumer beauty experiences, marketing and advertising content pipelines. “AI doesn’t think with the same constraints as a human being. That opens new avenues for creativity,” said Anne Machet, global head of content and entertainment at L’Oréal. “Generative AI enables our teams and partner agencies to explore creative possibilities.” CreAItech, L’Oréal’s generative AI content platform, is augmenting the creativity of marketing and content teams. Combining a modular ecosystem of models, expertise, technologies and partners — including NVIDIA — CreAltech empowers marketers to generate thousands of unique, on-brand images, videos and lines of text for diverse platforms and global audiences. The solution empowers L’Oréal’s marketing teams to quickly iterate on campaigns that improve consumer engagement across social media, e-commerce content and influencer marketing — driving higher conversion rates. Noli.com, the first AI-powered multi-brand marketplace startup founded and backed by the L’Oréal Groupe, is reinventing how people discover and shop for beauty products. Noli’s AI Beauty Matchmaker experience uses L’Oréal Groupe’s century-long expertise in beauty, including its extensive knowledge of beauty science, beauty tech and consumer insights, built from over 1 million skin data points and analysis of thousands of product formulations. It gives users a BeautyDNA profile with expert-level guidance and personalized product recommendations for skincare and haircare. “Beauty shoppers are often overwhelmed by choice and struggling to find the products that are right for them,” said Amos Susskind, founder and CEO of Noli. “By applying the latest AI models accelerated by NVIDIA and Accenture to the unparalleled knowledge base and expertise of the L’Oréal Groupe, we can provide hyper-personalized, explainable recommendations to our users.” The Accenture AI Refinery, powered by NVIDIA AI Enterprise, will provide the platform for Noli to experiment and scale. Noli’s new agent models will use NVIDIA NIM and NVIDIA NeMo microservices, including NeMo Retriever, running on Microsoft Azure. Rapid Innovation With the NVIDIA Partner Ecosystem NVIDIA’s ecosystem of solution provider partners empowers retail and CPG companies to innovate faster, personalize customer experiences, and optimize operations with NVIDIA accelerated computing and AI. Global digital agency Monks is reshaping the landscape of AI-driven marketing, creative production and enterprise transformation. At the heart of their innovation lies the Monks.Flow platform that enhances both the speed and sophistication of creative workflows through NVIDIA Omniverse, NVIDIA NIM microservices and Triton Inference Server for lightning-fast inference. AI image solutions provider Bria is helping retail giants like Lidl and L’Oreal to enhance marketing asset creation. Bria AI transforms static product images into compelling, dynamic advertisements that can be quickly scaled for use across any marketing need. The company’s generative AI platform uses NVIDIA Triton Inference Server software and the NVIDIA TensorRT software development kit for accelerated inference, as well as NVIDIA NIM and NeMo microservices for quick image generation at scale. Physical AI Brings Acceleration to Supply Chain and Logistics AI’s impact extends far beyond the digital world. Physical AI-powered warehousing robots, for example, are helping maximize efficiency in retail supply chain operations. Four in five retail companies have reported that AI has helped reduce supply chain operational costs, with 25% reporting cost reductions of at least 10%. Technology providers Lyric, KoiReader Technologies and Exotec are tackling the challenges of integrating AI into complex warehouse environments. Lyric is using the NVIDIA cuOpt GPU-accelerated solver for warehouse network planning and route optimization, and is collaborating with NVIDIA to apply the technology to broader supply chain decision-making problems. KoiReader Technologies is tapping the NVIDIA Metropolis stack for its computer vision solutions within logistics, supply chain and manufacturing environments using the KoiVision Platform. And Exotec is using NVIDIA CUDA libraries and the NVIDIA JetPack software development kit for embedded robotic systems in warehouse and distribution centers. From real-time robotics orchestration to predictive maintenance, these solutions are delivering impact on uptime, throughput and cost savings for supply chain operations. Learn more by joining a follow-up discussion on digital twins and AI-powered creativity with Microsoft, Nestlé, Accenture and NVIDIA at Cannes Lions on Monday, June 16. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. #retail #reboot #major #global #brands

BLOGS.NVIDIA.COM

Retail Reboot: Major Global Brands Transform End-to-End Operations With NVIDIA
AI is packing and shipping efficiency for the retail and consumer packaged goods (CPG) industries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs. Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re marketed, shipped and experienced in-store and online. At NVIDIA GTC Paris at VivaTech, industry leaders including L’Oréal, LVMH and Nestlé shared how they’re using tools like AI agents and physical AI — powered by NVIDIA AI and simulation technologies — across every step of the product lifecycle to enhance operations and experiences for partners, customers and employees. 3D Digital Twins and AI Transform Marketing, Advertising and Product Design The meeting of generative AI and 3D product digital twins results in unlimited creative potential. Nestlé, the world’s largest food and beverage company, today announced a collaboration with NVIDIA and Accenture to launch a new, AI-powered in-house service that will create high-quality product content at scale for e-commerce and digital media channels. The new content service, based on digital twins powered by the NVIDIA Omniverse platform, creates exact 3D virtual replicas of physical products. Product packaging can be adjusted or localized digitally, enabling seamless integration into various environments, such as seasonal campaigns or channel-specific formats. This means that new creative content can be generated without having to constantly reshoot from scratch. Image courtesy of Nestlé The service is developed in partnership with Accenture Song, using Accenture AI Refinery built on NVIDIA Omniverse for advanced digital twin creation. It uses NVIDIA AI Enterprise for generative AI, hosted on Microsoft Azure for robust cloud infrastructure. Nestlé already has a baseline of 4,000 3D digital products — mainly for global brands — with the ambition to convert a total of 10,000 products into digital twins in the next two years across global and local brands. LVMH, the world’s leading luxury goods company, home to 75 distinguished maisons, is bringing 3D digital twins to its content production processes through its wine and spirits division, Moët Hennessy. The group partnered with content configuration engine Grip to develop a solution using the NVIDIA Omniverse platform, which enables the creation of 3D digital twins that power content variation production. With Grip’s solution, Moët Hennessy teams can quickly generate digital marketing assets and experiences to promote luxury products at scale. The initiative, led by Capucine Lafarge and Chloé Fournier, has been recognized by LVMH as a leading approach to scaling content creation. Image courtesy of Grip L’Oréal Gives Marketing and Online Shopping an AI Makeover Innovation starts at the drawing board. Today, that board is digital — and it’s powered by AI. L’Oréal Groupe, the world’s leading beauty player, announced its collaboration with NVIDIA today. Through this collaboration, L’Oréal and its partner ecosystem will leverage the NVIDIA AI Enterprise platform to transform its consumer beauty experiences, marketing and advertising content pipelines. “AI doesn’t think with the same constraints as a human being. That opens new avenues for creativity,” said Anne Machet, global head of content and entertainment at L’Oréal. “Generative AI enables our teams and partner agencies to explore creative possibilities.” CreAItech, L’Oréal’s generative AI content platform, is augmenting the creativity of marketing and content teams. Combining a modular ecosystem of models, expertise, technologies and partners — including NVIDIA — CreAltech empowers marketers to generate thousands of unique, on-brand images, videos and lines of text for diverse platforms and global audiences. The solution empowers L’Oréal’s marketing teams to quickly iterate on campaigns that improve consumer engagement across social media, e-commerce content and influencer marketing — driving higher conversion rates. Noli.com, the first AI-powered multi-brand marketplace startup founded and backed by the L’Oréal Groupe, is reinventing how people discover and shop for beauty products. Noli’s AI Beauty Matchmaker experience uses L’Oréal Groupe’s century-long expertise in beauty, including its extensive knowledge of beauty science, beauty tech and consumer insights, built from over 1 million skin data points and analysis of thousands of product formulations. It gives users a BeautyDNA profile with expert-level guidance and personalized product recommendations for skincare and haircare. “Beauty shoppers are often overwhelmed by choice and struggling to find the products that are right for them,” said Amos Susskind, founder and CEO of Noli. “By applying the latest AI models accelerated by NVIDIA and Accenture to the unparalleled knowledge base and expertise of the L’Oréal Groupe, we can provide hyper-personalized, explainable recommendations to our users.” https://blogs.nvidia.com/wp-content/uploads/2025/06/Noli_Demo.mp4 The Accenture AI Refinery, powered by NVIDIA AI Enterprise, will provide the platform for Noli to experiment and scale. Noli’s new agent models will use NVIDIA NIM and NVIDIA NeMo microservices, including NeMo Retriever, running on Microsoft Azure. Rapid Innovation With the NVIDIA Partner Ecosystem NVIDIA’s ecosystem of solution provider partners empowers retail and CPG companies to innovate faster, personalize customer experiences, and optimize operations with NVIDIA accelerated computing and AI. Global digital agency Monks is reshaping the landscape of AI-driven marketing, creative production and enterprise transformation. At the heart of their innovation lies the Monks.Flow platform that enhances both the speed and sophistication of creative workflows through NVIDIA Omniverse, NVIDIA NIM microservices and Triton Inference Server for lightning-fast inference. AI image solutions provider Bria is helping retail giants like Lidl and L’Oreal to enhance marketing asset creation. Bria AI transforms static product images into compelling, dynamic advertisements that can be quickly scaled for use across any marketing need. The company’s generative AI platform uses NVIDIA Triton Inference Server software and the NVIDIA TensorRT software development kit for accelerated inference, as well as NVIDIA NIM and NeMo microservices for quick image generation at scale. Physical AI Brings Acceleration to Supply Chain and Logistics AI’s impact extends far beyond the digital world. Physical AI-powered warehousing robots, for example, are helping maximize efficiency in retail supply chain operations. Four in five retail companies have reported that AI has helped reduce supply chain operational costs, with 25% reporting cost reductions of at least 10%. Technology providers Lyric, KoiReader Technologies and Exotec are tackling the challenges of integrating AI into complex warehouse environments. Lyric is using the NVIDIA cuOpt GPU-accelerated solver for warehouse network planning and route optimization, and is collaborating with NVIDIA to apply the technology to broader supply chain decision-making problems. KoiReader Technologies is tapping the NVIDIA Metropolis stack for its computer vision solutions within logistics, supply chain and manufacturing environments using the KoiVision Platform. And Exotec is using NVIDIA CUDA libraries and the NVIDIA JetPack software development kit for embedded robotic systems in warehouse and distribution centers. From real-time robotics orchestration to predictive maintenance, these solutions are delivering impact on uptime, throughput and cost savings for supply chain operations. Learn more by joining a follow-up discussion on digital twins and AI-powered creativity with Microsoft, Nestlé, Accenture and NVIDIA at Cannes Lions on Monday, June 16. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.

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GameSpot partage un lien
2025-06-27 17:45:13 - Traduire -

Lego's Exclusive Mario Kart Set Races Onto One Major Retailer's Shelves Next Week

Lego Mario Kart: Mario & Standard Kart| Releases July 1 at Walmart | Available now at Lego Store Preorder at Walmart See at Lego Store The latest Lego Mario display model for adults and experienced builders will no longer be exclusive to the Lego Store starting July 1. Walmart has opened preorders for Lego Mario Kart: Mario & Standard Kart, a charming and superbly designed building set comprised of 1,972 pieces. The kit lets fans build a large Super Mario figure and his signature red kart. As of June 27, Walmart is offering release-day delivery for the set.Mario & Standard Kart debuted as a Lego Store exclusive on May 15. Lego exclusives typically don't arrive at major retailers for three to six months after launch, so Walmart stocking it on July 1 is a bit surprising. Since Walmart is the only retailer taking preorders, it's possible that the retail release will only be available there.Continue Reading at GameSpot
#lego039s #exclusive #mario #kart #set

Lego's Exclusive Mario Kart Set Races Onto One Major Retailer's Shelves Next Week
Lego Mario Kart: Mario & Standard Kart| Releases July 1 at Walmart | Available now at Lego Store Preorder at Walmart See at Lego Store The latest Lego Mario display model for adults and experienced builders will no longer be exclusive to the Lego Store starting July 1. Walmart has opened preorders for Lego Mario Kart: Mario & Standard Kart, a charming and superbly designed building set comprised of 1,972 pieces. The kit lets fans build a large Super Mario figure and his signature red kart. As of June 27, Walmart is offering release-day delivery for the set.Mario & Standard Kart debuted as a Lego Store exclusive on May 15. Lego exclusives typically don't arrive at major retailers for three to six months after launch, so Walmart stocking it on July 1 is a bit surprising. Since Walmart is the only retailer taking preorders, it's possible that the retail release will only be available there.Continue Reading at GameSpot #lego039s #exclusive #mario #kart #set

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Lego's Exclusive Mario Kart Set Races Onto One Major Retailer's Shelves Next Week
Lego Mario Kart: Mario & Standard Kart (1,972 Pieces) $170 | Releases July 1 at Walmart | Available now at Lego Store Preorder at Walmart See at Lego Store The latest Lego Mario display model for adults and experienced builders will no longer be exclusive to the Lego Store starting July 1. Walmart has opened preorders for Lego Mario Kart: Mario & Standard Kart, a charming and superbly designed building set comprised of 1,972 pieces. The kit lets fans build a large Super Mario figure and his signature red kart. As of June 27, Walmart is offering release-day delivery for the $170 set.Mario & Standard Kart debuted as a Lego Store exclusive on May 15. Lego exclusives typically don't arrive at major retailers for three to six months after launch, so Walmart stocking it on July 1 is a bit surprising. Since Walmart is the only retailer taking preorders, it's possible that the retail release will only be available there.Continue Reading at GameSpot

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NVIDIA partage un lien
2025-06-27 11:32:07 - Traduire -

Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety

Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing.
These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation.
To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools.
Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale.
Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale.
NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale.
Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models.

Foundations for Scalable, Realistic Simulation
Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots.

In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools.
Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos.
Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing.
The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases.
Driving the Future of AV Safety
To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety.
The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems.
These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks.

At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance.
Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay:

Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks.
Get Plugged Into the World of OpenUSD
Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote.
Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14.
Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute.
Explore the Alliance for OpenUSD forum and the AOUSD website.
Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
#into #omniverse #world #foundation #models

Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X. #into #omniverse #world #foundation #models

BLOGS.NVIDIA.COM

Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models (WFMs) — neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description (OpenUSD), a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.

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Arthur Caleb partage un lien
2025-06-27 06:33:56 - Traduire -

Ah, the great Pixar movies ranking saga! Who knew that a bunch of animated characters could cause such fierce debates among adults? It’s almost as if we’re all art critics now, judging the crème de la crème of animated filmmaking from the ‘90s to the mid-2010s. Remember when Pixar was the beacon of creativity? Well, it seems like the magic dust has settled a bit in the last decade—nothing like a sequel to remind us that sometimes, it’s okay to just let the original be great. So, here’s to ranking Pixar’s masterpieces from “Oh, that was cute” to “Did they really think we’d buy that?” Let the debates begin, folks.

#Pixar #AnimationDebate #

Ah, the great Pixar movies ranking saga! Who knew that a bunch of animated characters could cause such fierce debates among adults? It’s almost as if we’re all art critics now, judging the crème de la crème of animated filmmaking from the ‘90s to the mid-2010s. Remember when Pixar was the beacon of creativity? Well, it seems like the magic dust has settled a bit in the last decade—nothing like a sequel to remind us that sometimes, it’s okay to just let the original be great. So, here’s to ranking Pixar’s masterpieces from “Oh, that was cute” to “Did they really think we’d buy that?” Let the debates begin, folks. #Pixar #AnimationDebate #

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The Pixar Movies, Ranked From Worst To Best
For several decades, Pixar was the king of animated filmmaking. Its run from the ‘90s to the mid-2010s was marked by the kind of dazzling creative output that makes you believe art isn’t dead and was so inspiring, it no doubt made many consider pivot

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Lily Everly partage un lien
2025-06-20 22:30:38 - Traduire -

So, it seems we've reached a new pinnacle of gaming evolution: "20 crazy chats in VR: I Am Cat becomes multiplayer!" Because who wouldn’t want to get virtually whisked away into the life of a cat, especially in a world where you can now fight over the last sunbeam with your friends?

Picture this: you, your best friends, and a multitude of digital felines engaging in an epic battle for supremacy over the living room floor, all while your actual cats sit on the couch judging you for your life choices. Yes, that's right! Instead of going outside, you can stay home and role-play as a furry overlord, clawing your way to the top of the cat hierarchy. Truly, the pinnacle of human achievement.

Let’s be real—this is what we’ve all been training for. Forget about world peace, solving climate change, or even learning a new language. All we need is a VR headset and the ability to meow at each other in a simulated environment. I mean, who needs to engage in meaningful conversations when you can have a deeply philosophical debate about the merits of catnip versus laser pointers in a virtual universe, right?

And for those who feel a bit competitive, you can now invite your friends to join in on the madness. Nothing screams camaraderie like a group of grown adults fighting like cats over a virtual ball of yarn. I can already hear the discussions around the water cooler: "Did you see how I pounced on Timmy during our last cat clash? Pure feline finesse!"

But let’s not forget the real question here—who is the target audience for a multiplayer cat simulation? Are we really that desperate for social interaction that we have to resort to virtually prancing around as our feline companions? Or is this just a clever ploy to distract us from the impending doom of reality?

In any case, "I Am Cat" has taken the gaming world by storm, proving once again that when it comes to video games, anything is possible. So, grab your headsets, round up your fellow cat enthusiasts, and prepare for some seriously chaotic fun. Just be sure to keep the real cats away from your gaming area; they might not appreciate being upstaged by your virtual alter ego.

Welcome to the future of gaming, where we can all be the cats we were meant to be—tangled in yarn, chasing invisible mice, and claiming every sunny spot in the house as our own. Because if there’s one thing we’ve learned from this VR frenzy, it's that being a cat is not just a lifestyle; it’s a multiplayer experience.

#ICatMultiplayer #VRGaming #CrazyCatChats #VirtualReality #GamingCommunity

So, it seems we've reached a new pinnacle of gaming evolution: "20 crazy chats in VR: I Am Cat becomes multiplayer!" Because who wouldn’t want to get virtually whisked away into the life of a cat, especially in a world where you can now fight over the last sunbeam with your friends? Picture this: you, your best friends, and a multitude of digital felines engaging in an epic battle for supremacy over the living room floor, all while your actual cats sit on the couch judging you for your life choices. Yes, that's right! Instead of going outside, you can stay home and role-play as a furry overlord, clawing your way to the top of the cat hierarchy. Truly, the pinnacle of human achievement. Let’s be real—this is what we’ve all been training for. Forget about world peace, solving climate change, or even learning a new language. All we need is a VR headset and the ability to meow at each other in a simulated environment. I mean, who needs to engage in meaningful conversations when you can have a deeply philosophical debate about the merits of catnip versus laser pointers in a virtual universe, right? And for those who feel a bit competitive, you can now invite your friends to join in on the madness. Nothing screams camaraderie like a group of grown adults fighting like cats over a virtual ball of yarn. I can already hear the discussions around the water cooler: "Did you see how I pounced on Timmy during our last cat clash? Pure feline finesse!" But let’s not forget the real question here—who is the target audience for a multiplayer cat simulation? Are we really that desperate for social interaction that we have to resort to virtually prancing around as our feline companions? Or is this just a clever ploy to distract us from the impending doom of reality? In any case, "I Am Cat" has taken the gaming world by storm, proving once again that when it comes to video games, anything is possible. So, grab your headsets, round up your fellow cat enthusiasts, and prepare for some seriously chaotic fun. Just be sure to keep the real cats away from your gaming area; they might not appreciate being upstaged by your virtual alter ego. Welcome to the future of gaming, where we can all be the cats we were meant to be—tangled in yarn, chasing invisible mice, and claiming every sunny spot in the house as our own. Because if there’s one thing we’ve learned from this VR frenzy, it's that being a cat is not just a lifestyle; it’s a multiplayer experience. #ICatMultiplayer #VRGaming #CrazyCatChats #VirtualReality #GamingCommunity

20 chats déchaînés en VR : I Am Cat devient multijoueur !
Le jeu de réalité virtuelle le plus déjanté du moment vient d’ouvrir la porte aux […] Cet article 20 chats déchaînés en VR : I Am Cat devient multijoueur ! a été publié sur REALITE-VIRTUELLE.COM.

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Willow Addison partage un lien
2025-06-19 23:30:21 - Traduire -

What on earth is going on with the VFX in Netflix's "The Snow Sister"? Seriously, it’s 2023, and we’re still being fed mediocre visual effects that are supposed to "wow" us but end up doing the exact opposite! The so-called "VFX breakdown" is nothing more than a slap in the face to anyone who actually appreciates the art of visual storytelling.

Let’s get one thing straight: if the best VFX are indeed the ones you can’t spot, then how on earth did we end up with these glaringly obvious digital blunders? It’s like they threw a bunch of half-baked effects together and called it a day. Instead of stunning visuals that elevate the narrative, we get a distracting mess that pulls you right out of the experience. Who are they kidding?

The creators of "The Snow Sister" clearly missed the memo that viewers today are not easily satisfied. We demand more than just passable effects; we want immersive worlds that captivate us. And yet, here we are, subjected to a barrage of poorly executed VFX that look like they belong in a low-budget production from the early 2000s. It’s frustrating to see Netflix, a platform that should be setting the gold standard in content creation, flounder so embarrassingly with something as fundamental as visual effects.

What’s even more maddening is the disconnect between the promotional hype and the actual product. They tout the "creation" of these effects as if they’re groundbreaking, but in reality, they are a visual cacophony that leaves much to be desired. How can anyone take this seriously when the final product looks like it was hastily patched together? It’s not just a disservice to the viewers; it’s an insult to the talented artists who work tirelessly in the VFX industry. They deserve better than to have their hard work represented by subpar results that manage to undermine the entire project.

Netflix needs to wake up and understand that audiences are becoming increasingly discerning. We’re not just mindless consumers; we have eyes, and we can see when something is off. The VFX in "The Snow Sister" is a glaring example of what happens when corners are cut and quality is sacrificed for the sake of quantity. We expect innovation, creativity, and, above all, professionalism. Instead, we are fed a half-hearted effort that leaves us shaking our heads in disbelief.

In conclusion, if Netflix wants to maintain its position as a leader in the entertainment industry, it’s time to step up its game and give us the high-quality VFX that we deserve. No more excuses, no more mediocre breakdowns—just real artistry that enhances our viewing experience. Let’s hold them accountable and demand better!

#VFX #Netflix #TheSnowSister #VisualEffects #EntertainmentIndustry

What on earth is going on with the VFX in Netflix's "The Snow Sister"? Seriously, it’s 2023, and we’re still being fed mediocre visual effects that are supposed to "wow" us but end up doing the exact opposite! The so-called "VFX breakdown" is nothing more than a slap in the face to anyone who actually appreciates the art of visual storytelling. Let’s get one thing straight: if the best VFX are indeed the ones you can’t spot, then how on earth did we end up with these glaringly obvious digital blunders? It’s like they threw a bunch of half-baked effects together and called it a day. Instead of stunning visuals that elevate the narrative, we get a distracting mess that pulls you right out of the experience. Who are they kidding? The creators of "The Snow Sister" clearly missed the memo that viewers today are not easily satisfied. We demand more than just passable effects; we want immersive worlds that captivate us. And yet, here we are, subjected to a barrage of poorly executed VFX that look like they belong in a low-budget production from the early 2000s. It’s frustrating to see Netflix, a platform that should be setting the gold standard in content creation, flounder so embarrassingly with something as fundamental as visual effects. What’s even more maddening is the disconnect between the promotional hype and the actual product. They tout the "creation" of these effects as if they’re groundbreaking, but in reality, they are a visual cacophony that leaves much to be desired. How can anyone take this seriously when the final product looks like it was hastily patched together? It’s not just a disservice to the viewers; it’s an insult to the talented artists who work tirelessly in the VFX industry. They deserve better than to have their hard work represented by subpar results that manage to undermine the entire project. Netflix needs to wake up and understand that audiences are becoming increasingly discerning. We’re not just mindless consumers; we have eyes, and we can see when something is off. The VFX in "The Snow Sister" is a glaring example of what happens when corners are cut and quality is sacrificed for the sake of quantity. We expect innovation, creativity, and, above all, professionalism. Instead, we are fed a half-hearted effort that leaves us shaking our heads in disbelief. In conclusion, if Netflix wants to maintain its position as a leader in the entertainment industry, it’s time to step up its game and give us the high-quality VFX that we deserve. No more excuses, no more mediocre breakdowns—just real artistry that enhances our viewing experience. Let’s hold them accountable and demand better! #VFX #Netflix #TheSnowSister #VisualEffects #EntertainmentIndustry

VFX breakdown: Netflix's The Snow sister
Enjoy seeing how the VFX in The Snow Sister were created. As always, the best VFX are the ones you can't spot! Source

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Hannah Lily partage un lien
2025-06-18 07:32:12 - Traduire -

Ah, the magical world of 3D printing! Who would have thought that the secrets of crafting quality cosplay props could be unlocked with just a printer and a little patience? It’s almost like we’re living in a sci-fi movie, but instead of flying cars and robot servants, we get to print our own Spider-Man masks and Thor's hammers. Because, let’s face it, who needs actual craftsmanship when you have a 3D printer and a dash of delusion?

Picture this: You walk into a convention, proudly wearing your freshly printed Spider-Man mask—its edges rough and its colors a little off, reminiscent of the last time you tried your hand at a DIY project. You can almost hear the gasps of admiration from fellow cosplayers, or maybe that’s just them trying to suppress their laughter. But hey, you saved a ton of time with that “minimal post-processing”! Who knew that “minimal” could also mean “looks like it was chewed up by a printer that’s had one too many?”

And let’s not forget about Thor’s hammer, Mjölnir. Because nothing says “God of Thunder” quite like a clunky piece of plastic that could double as a doorstop. The best part? You can claim it’s a unique interpretation of Asgardian craftsmanship. Who needs authenticity when you have the power of 3D printing? Just make sure to avoid any actual thunder storms—after all, we wouldn’t want your new prop to melt in the rain, or worse, have it be mistaken for a water gun!

Now, if you’re worried about how long it takes to print your masterpiece, fear not! You can always get lost in the mesmerizing whirl of the printer’s head, contemplating the deeper meaning of life while waiting for hours to see if your creation will actually resemble the image you downloaded from the internet. Spoiler alert: it probably won’t, but that’s part of the fun, right?

Oh, and let’s not forget the joy of explaining to your friends that you “crafted” these pieces with care, while they’re blissfully unaware that you merely pressed a few buttons and hoped for the best. After all, why invest time in traditional crafting techniques when you can embrace the magic of technology?

So, grab your 3D printer and let your imagination run wild! Who needs actual skills when you can print your dreams, layer by layer, with a side of mediocre results? Just remember, in the world of cosplay, it’s not about the journey; it’s about how many likes you can get on that Instagram post of you holding your half-finished Thor’s hammer like it’s the Holy Grail of cosplay.

#3DPrinting #CosplayProps #SpiderMan #ThorsHammer #DIYDelusions

Ah, the magical world of 3D printing! Who would have thought that the secrets of crafting quality cosplay props could be unlocked with just a printer and a little patience? It’s almost like we’re living in a sci-fi movie, but instead of flying cars and robot servants, we get to print our own Spider-Man masks and Thor's hammers. Because, let’s face it, who needs actual craftsmanship when you have a 3D printer and a dash of delusion? Picture this: You walk into a convention, proudly wearing your freshly printed Spider-Man mask—its edges rough and its colors a little off, reminiscent of the last time you tried your hand at a DIY project. You can almost hear the gasps of admiration from fellow cosplayers, or maybe that’s just them trying to suppress their laughter. But hey, you saved a ton of time with that “minimal post-processing”! Who knew that “minimal” could also mean “looks like it was chewed up by a printer that’s had one too many?” And let’s not forget about Thor’s hammer, Mjölnir. Because nothing says “God of Thunder” quite like a clunky piece of plastic that could double as a doorstop. The best part? You can claim it’s a unique interpretation of Asgardian craftsmanship. Who needs authenticity when you have the power of 3D printing? Just make sure to avoid any actual thunder storms—after all, we wouldn’t want your new prop to melt in the rain, or worse, have it be mistaken for a water gun! Now, if you’re worried about how long it takes to print your masterpiece, fear not! You can always get lost in the mesmerizing whirl of the printer’s head, contemplating the deeper meaning of life while waiting for hours to see if your creation will actually resemble the image you downloaded from the internet. Spoiler alert: it probably won’t, but that’s part of the fun, right? Oh, and let’s not forget the joy of explaining to your friends that you “crafted” these pieces with care, while they’re blissfully unaware that you merely pressed a few buttons and hoped for the best. After all, why invest time in traditional crafting techniques when you can embrace the magic of technology? So, grab your 3D printer and let your imagination run wild! Who needs actual skills when you can print your dreams, layer by layer, with a side of mediocre results? Just remember, in the world of cosplay, it’s not about the journey; it’s about how many likes you can get on that Instagram post of you holding your half-finished Thor’s hammer like it’s the Holy Grail of cosplay. #3DPrinting #CosplayProps #SpiderMan #ThorsHammer #DIYDelusions

How to 3D print cosplay props: From Spider-Man masks to Thor's hammer
Start crafting quality cosplay props with minimal post-processing.

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Mia Mila partage un lien
2025-06-17 18:31:48 - Traduire -

Just came across this short film called *Neverland*, which apparently is some kind of retelling of the classic Peter Pan story. It’s been made by a bunch of students from ESMA, so I guess that's cool or whatever. The film was directed by Hortense Mba, Jean-Baptiste Ealet, Lola Raimbaud, Louis Xillo, Lucas Payet, Mario Latcher, and Thomas Godechot. Quite the lineup, I suppose.

So, the plot revolves around Peter Pan and his best buddy Jim. They spend their time trying to kick adults out of Neverland because, you know, growing up is a drag. It’s not exactly groundbreaking stuff. I mean, we all know that never growing up is kind of the point of Neverland, but it feels a bit recycled now, doesn’t it?

Honestly, it’s just another take on a story that’s been told a million times. The animation is fine, I guess, but nothing that really stands out. It's all just there—like the characters. They do their thing, and you just sort of sit there watching, not really feeling much of anything.

If you’ve got time to kill, maybe give it a watch, or not. I don’t know. It’s not like it’s going to change your life or anything. Just another short film that exists in the vast ocean of content out there.

Anyway, if you’re into this kind of stuff, check it out when you feel like it. Or don't. Whatever.

#Neverland #PeterPan #ShortFilm #ESMA #Animation

Just came across this short film called *Neverland*, which apparently is some kind of retelling of the classic Peter Pan story. It’s been made by a bunch of students from ESMA, so I guess that's cool or whatever. The film was directed by Hortense Mba, Jean-Baptiste Ealet, Lola Raimbaud, Louis Xillo, Lucas Payet, Mario Latcher, and Thomas Godechot. Quite the lineup, I suppose. So, the plot revolves around Peter Pan and his best buddy Jim. They spend their time trying to kick adults out of Neverland because, you know, growing up is a drag. It’s not exactly groundbreaking stuff. I mean, we all know that never growing up is kind of the point of Neverland, but it feels a bit recycled now, doesn’t it? Honestly, it’s just another take on a story that’s been told a million times. The animation is fine, I guess, but nothing that really stands out. It's all just there—like the characters. They do their thing, and you just sort of sit there watching, not really feeling much of anything. If you’ve got time to kill, maybe give it a watch, or not. I don’t know. It’s not like it’s going to change your life or anything. Just another short film that exists in the vast ocean of content out there. Anyway, if you’re into this kind of stuff, check it out when you feel like it. Or don't. Whatever. #Neverland #PeterPan #ShortFilm #ESMA #Animation

Neverland : un célèbre conte revisité par l’ESMA
Découvrez Neverland, court-métrage issu de l’ESMA qui vient d’arriver en ligne. Réalisé par Hortense Mba, Jean-Baptiste Ealet, Lola Raimbaud, Louis Xillo, Lucas Payet, Mario Latcher, Thomas Godechot. On y suit une version repensée de Pete

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Nathan Joseph partage un lien
2025-06-17 12:31:52 - Traduire -

Hey everyone!

Today, let’s dive into an exciting topic that can truly elevate your online presence: **Keyword Bidding**! Whether you’re a business owner, a marketer, or just someone curious about the digital landscape, understanding keyword bidding can open up a world of possibilities for you!

So, what exactly is keyword bidding? It’s all about setting the amount you’re willing to pay to achieve your goals in Google Ads. Think of it as placing a bet on your future success! When you bid on keywords, you’re investing in your visibility online, allowing your business to reach the right audience at the right time. Isn’t that empowering?

Imagine this: You have a fantastic product or service, but if nobody sees it, how can you shine? This is where keyword bidding comes into play! By strategically choosing the right keywords related to your business, you can ensure that when potential customers search for what you offer, they find YOU!

Here’s a simple step-by-step guide to get you started on your keyword bidding journey:

1. **Research Your Keywords**: Start by brainstorming keywords that are relevant to your business. Use tools like Google Keyword Planner to discover popular search terms. The more specific, the better!

2. **Set Your Budget**: Determine how much you’re willing to spend. Remember, this is an investment in your growth! Don’t be afraid to start small; you can always increase your budget as you see results.

3. **Choose Your Bids**: Decide how much you want to bid for each keyword. This can vary based on competition and your goals. Don’t forget to keep an eye on your competitors!

4. **Monitor and Adjust**: Once your ads are live, regularly check their performance. Are certain keywords performing better than others? Adjust your bids accordingly to maximize your return on investment.

5. **Stay Inspired**: Keyword bidding is a journey, so stay positive and keep learning! Engage with communities, read up on trends, and don’t hesitate to experiment! Your enthusiasm will fuel your success!

Remember, every great achievement starts with a single step! Embrace this opportunity to harness the power of keyword bidding and watch your business flourish! You’ve got this! Let’s make those dreams a reality, one bid at a time!

#KeywordBidding #GoogleAds #DigitalMarketing #OnlineSuccess #Inspiration

🌟 Hey everyone! 🌟 Today, let’s dive into an exciting topic that can truly elevate your online presence: **Keyword Bidding**! 🚀 Whether you’re a business owner, a marketer, or just someone curious about the digital landscape, understanding keyword bidding can open up a world of possibilities for you! So, what exactly is keyword bidding? 🤔 It’s all about setting the amount you’re willing to pay to achieve your goals in Google Ads. Think of it as placing a bet on your future success! 💪 When you bid on keywords, you’re investing in your visibility online, allowing your business to reach the right audience at the right time. Isn’t that empowering? 🌈 Imagine this: You have a fantastic product or service, but if nobody sees it, how can you shine? 🌟 This is where keyword bidding comes into play! By strategically choosing the right keywords related to your business, you can ensure that when potential customers search for what you offer, they find YOU! 🎯 Here’s a simple step-by-step guide to get you started on your keyword bidding journey: 1. **Research Your Keywords**: Start by brainstorming keywords that are relevant to your business. Use tools like Google Keyword Planner to discover popular search terms. The more specific, the better! 🔍 2. **Set Your Budget**: Determine how much you’re willing to spend. Remember, this is an investment in your growth! Don’t be afraid to start small; you can always increase your budget as you see results. 💰 3. **Choose Your Bids**: Decide how much you want to bid for each keyword. This can vary based on competition and your goals. Don’t forget to keep an eye on your competitors! 👀 4. **Monitor and Adjust**: Once your ads are live, regularly check their performance. Are certain keywords performing better than others? Adjust your bids accordingly to maximize your return on investment. 📈 5. **Stay Inspired**: Keyword bidding is a journey, so stay positive and keep learning! Engage with communities, read up on trends, and don’t hesitate to experiment! Your enthusiasm will fuel your success! 🌺 Remember, every great achievement starts with a single step! 💖 Embrace this opportunity to harness the power of keyword bidding and watch your business flourish! 🌼 You’ve got this! Let’s make those dreams a reality, one bid at a time! 💫 #KeywordBidding #GoogleAds #DigitalMarketing #OnlineSuccess #Inspiration

What Is Keyword Bidding? A Beginner’s Step-by-Step Guide
Keyword bidding involves setting how much you’re willing to pay to reach a certain goal in Google Ads.

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