• Hexagon Taps NVIDIA Robotics and AI Software to Build and Deploy AEON, a New Humanoid

    As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand.
    Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture — the process of capturing digital data to replicate the real world in simulation.
    At the Hexagon LIVE Global conference, Hexagon’s robotics division today unveiled AEON — a new humanoid robot built in collaboration with NVIDIA that’s engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Hexagon plans to deploy AEON across automotive, transportation, aerospace, manufacturing, warehousing and logistics.
    Future use cases for AEON include:

    Reality capture, which involves automatic planning and then scanning of assets, industrial spaces and environments to generate 3D models. The captured data is then used for advanced visualization and collaboration in the Hexagon Digital Realityplatform powering Hexagon Reality Cloud Studio.
    Manipulation tasks, such as sorting and moving parts in various industrial and manufacturing settings.
    Part inspection, which includes checking parts for defects or ensuring adherence to specifications.
    Industrial operations, including highly dexterous technical tasks like machinery operations, teleoperation and scanning parts using high-end scanners.

    “The age of general-purpose robotics has arrived, due to technological advances in simulation and physical AI,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “Hexagon’s new AEON humanoid embodies the integration of NVIDIA’s three-computer robotics platform and is making a significant leap forward in addressing industry-critical challenges.”

    Using NVIDIA’s Three Computers to Develop AEON 
    To build AEON, Hexagon used NVIDIA’s three computers for developing and deploying physical AI systems. They include AI supercomputers to train and fine-tune powerful foundation models; the NVIDIA Omniverse platform, running on NVIDIA OVX servers, for testing and optimizing these models in simulation environments using real and physically based synthetic data; and NVIDIA IGX Thor robotic computers to run the models.
    Hexagon is exploring using NVIDIA accelerated computing to post-train the NVIDIA Isaac GR00T N1.5 open foundation model to improve robot reasoning and policies, and tapping Isaac GR00T-Mimic to generate vast amounts of synthetic motion data from a few human demonstrations.
    AEON learns many of its skills through simulations powered by the NVIDIA Isaac platform. Hexagon uses NVIDIA Isaac Sim, a reference robotic simulation application built on Omniverse, to simulate complex robot actions like navigation, locomotion and manipulation. These skills are then refined using reinforcement learning in NVIDIA Isaac Lab, an open-source framework for robot learning.


    This simulation-first approach enabled Hexagon to fast-track its robotic development, allowing AEON to master core locomotion skills in just 2-3 weeks — rather than 5-6 months — before real-world deployment.
    In addition, AEON taps into NVIDIA Jetson Orin onboard computers to autonomously move, navigate and perform its tasks in real time, enhancing its speed and accuracy while operating in complex and dynamic environments. Hexagon is also planning to upgrade AEON with NVIDIA IGX Thor to enable functional safety for collaborative operation.
    “Our goal with AEON was to design an intelligent, autonomous humanoid that addresses the real-world challenges industrial leaders have shared with us over the past months,” said Arnaud Robert, president of Hexagon’s robotics division. “By leveraging NVIDIA’s full-stack robotics and simulation platforms, we were able to deliver a best-in-class humanoid that combines advanced mechatronics, multimodal sensor fusion and real-time AI.”
    Data Comes to Life Through Reality Capture and Omniverse Integration 
    AEON will be piloted in factories and warehouses to scan everything from small precision parts and automotive components to large assembly lines and storage areas.

    Captured data comes to life in RCS, a platform that allows users to collaborate, visualize and share reality-capture data by tapping into HxDR and NVIDIA Omniverse running in the cloud. This removes the constraint of local infrastructure.
    “Digital twins offer clear advantages, but adoption has been challenging in several industries,” said Lucas Heinzle, vice president of research and development at Hexagon’s robotics division. “AEON’s sophisticated sensor suite enables the integration of reality data capture with NVIDIA Omniverse, streamlining workflows for our customers and moving us closer to making digital twins a mainstream tool for collaboration and innovation.”
    AEON’s Next Steps
    By adopting the OpenUSD framework and developing on Omniverse, Hexagon can generate high-fidelity digital twins from scanned data — establishing a data flywheel to continuously train AEON.
    This latest work with Hexagon is helping shape the future of physical AI — delivering scalable, efficient solutions to address the challenges faced by industries that depend on capturing real-world data.
    Watch the Hexagon LIVE keynote, explore presentations and read more about AEON.
    All imagery courtesy of Hexagon.
    #hexagon #taps #nvidia #robotics #software
    Hexagon Taps NVIDIA Robotics and AI Software to Build and Deploy AEON, a New Humanoid
    As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand. Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture — the process of capturing digital data to replicate the real world in simulation. At the Hexagon LIVE Global conference, Hexagon’s robotics division today unveiled AEON — a new humanoid robot built in collaboration with NVIDIA that’s engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Hexagon plans to deploy AEON across automotive, transportation, aerospace, manufacturing, warehousing and logistics. Future use cases for AEON include: Reality capture, which involves automatic planning and then scanning of assets, industrial spaces and environments to generate 3D models. The captured data is then used for advanced visualization and collaboration in the Hexagon Digital Realityplatform powering Hexagon Reality Cloud Studio. Manipulation tasks, such as sorting and moving parts in various industrial and manufacturing settings. Part inspection, which includes checking parts for defects or ensuring adherence to specifications. Industrial operations, including highly dexterous technical tasks like machinery operations, teleoperation and scanning parts using high-end scanners. “The age of general-purpose robotics has arrived, due to technological advances in simulation and physical AI,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “Hexagon’s new AEON humanoid embodies the integration of NVIDIA’s three-computer robotics platform and is making a significant leap forward in addressing industry-critical challenges.” Using NVIDIA’s Three Computers to Develop AEON  To build AEON, Hexagon used NVIDIA’s three computers for developing and deploying physical AI systems. They include AI supercomputers to train and fine-tune powerful foundation models; the NVIDIA Omniverse platform, running on NVIDIA OVX servers, for testing and optimizing these models in simulation environments using real and physically based synthetic data; and NVIDIA IGX Thor robotic computers to run the models. Hexagon is exploring using NVIDIA accelerated computing to post-train the NVIDIA Isaac GR00T N1.5 open foundation model to improve robot reasoning and policies, and tapping Isaac GR00T-Mimic to generate vast amounts of synthetic motion data from a few human demonstrations. AEON learns many of its skills through simulations powered by the NVIDIA Isaac platform. Hexagon uses NVIDIA Isaac Sim, a reference robotic simulation application built on Omniverse, to simulate complex robot actions like navigation, locomotion and manipulation. These skills are then refined using reinforcement learning in NVIDIA Isaac Lab, an open-source framework for robot learning. This simulation-first approach enabled Hexagon to fast-track its robotic development, allowing AEON to master core locomotion skills in just 2-3 weeks — rather than 5-6 months — before real-world deployment. In addition, AEON taps into NVIDIA Jetson Orin onboard computers to autonomously move, navigate and perform its tasks in real time, enhancing its speed and accuracy while operating in complex and dynamic environments. Hexagon is also planning to upgrade AEON with NVIDIA IGX Thor to enable functional safety for collaborative operation. “Our goal with AEON was to design an intelligent, autonomous humanoid that addresses the real-world challenges industrial leaders have shared with us over the past months,” said Arnaud Robert, president of Hexagon’s robotics division. “By leveraging NVIDIA’s full-stack robotics and simulation platforms, we were able to deliver a best-in-class humanoid that combines advanced mechatronics, multimodal sensor fusion and real-time AI.” Data Comes to Life Through Reality Capture and Omniverse Integration  AEON will be piloted in factories and warehouses to scan everything from small precision parts and automotive components to large assembly lines and storage areas. Captured data comes to life in RCS, a platform that allows users to collaborate, visualize and share reality-capture data by tapping into HxDR and NVIDIA Omniverse running in the cloud. This removes the constraint of local infrastructure. “Digital twins offer clear advantages, but adoption has been challenging in several industries,” said Lucas Heinzle, vice president of research and development at Hexagon’s robotics division. “AEON’s sophisticated sensor suite enables the integration of reality data capture with NVIDIA Omniverse, streamlining workflows for our customers and moving us closer to making digital twins a mainstream tool for collaboration and innovation.” AEON’s Next Steps By adopting the OpenUSD framework and developing on Omniverse, Hexagon can generate high-fidelity digital twins from scanned data — establishing a data flywheel to continuously train AEON. This latest work with Hexagon is helping shape the future of physical AI — delivering scalable, efficient solutions to address the challenges faced by industries that depend on capturing real-world data. Watch the Hexagon LIVE keynote, explore presentations and read more about AEON. All imagery courtesy of Hexagon. #hexagon #taps #nvidia #robotics #software
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    Hexagon Taps NVIDIA Robotics and AI Software to Build and Deploy AEON, a New Humanoid
    As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand. Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture — the process of capturing digital data to replicate the real world in simulation. At the Hexagon LIVE Global conference, Hexagon’s robotics division today unveiled AEON — a new humanoid robot built in collaboration with NVIDIA that’s engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Hexagon plans to deploy AEON across automotive, transportation, aerospace, manufacturing, warehousing and logistics. Future use cases for AEON include: Reality capture, which involves automatic planning and then scanning of assets, industrial spaces and environments to generate 3D models. The captured data is then used for advanced visualization and collaboration in the Hexagon Digital Reality (HxDR) platform powering Hexagon Reality Cloud Studio (RCS). Manipulation tasks, such as sorting and moving parts in various industrial and manufacturing settings. Part inspection, which includes checking parts for defects or ensuring adherence to specifications. Industrial operations, including highly dexterous technical tasks like machinery operations, teleoperation and scanning parts using high-end scanners. “The age of general-purpose robotics has arrived, due to technological advances in simulation and physical AI,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “Hexagon’s new AEON humanoid embodies the integration of NVIDIA’s three-computer robotics platform and is making a significant leap forward in addressing industry-critical challenges.” Using NVIDIA’s Three Computers to Develop AEON  To build AEON, Hexagon used NVIDIA’s three computers for developing and deploying physical AI systems. They include AI supercomputers to train and fine-tune powerful foundation models; the NVIDIA Omniverse platform, running on NVIDIA OVX servers, for testing and optimizing these models in simulation environments using real and physically based synthetic data; and NVIDIA IGX Thor robotic computers to run the models. Hexagon is exploring using NVIDIA accelerated computing to post-train the NVIDIA Isaac GR00T N1.5 open foundation model to improve robot reasoning and policies, and tapping Isaac GR00T-Mimic to generate vast amounts of synthetic motion data from a few human demonstrations. AEON learns many of its skills through simulations powered by the NVIDIA Isaac platform. Hexagon uses NVIDIA Isaac Sim, a reference robotic simulation application built on Omniverse, to simulate complex robot actions like navigation, locomotion and manipulation. These skills are then refined using reinforcement learning in NVIDIA Isaac Lab, an open-source framework for robot learning. https://blogs.nvidia.com/wp-content/uploads/2025/06/Copy-of-robotics-hxgn-live-blog-1920x1080-1.mp4 This simulation-first approach enabled Hexagon to fast-track its robotic development, allowing AEON to master core locomotion skills in just 2-3 weeks — rather than 5-6 months — before real-world deployment. In addition, AEON taps into NVIDIA Jetson Orin onboard computers to autonomously move, navigate and perform its tasks in real time, enhancing its speed and accuracy while operating in complex and dynamic environments. Hexagon is also planning to upgrade AEON with NVIDIA IGX Thor to enable functional safety for collaborative operation. “Our goal with AEON was to design an intelligent, autonomous humanoid that addresses the real-world challenges industrial leaders have shared with us over the past months,” said Arnaud Robert, president of Hexagon’s robotics division. “By leveraging NVIDIA’s full-stack robotics and simulation platforms, we were able to deliver a best-in-class humanoid that combines advanced mechatronics, multimodal sensor fusion and real-time AI.” Data Comes to Life Through Reality Capture and Omniverse Integration  AEON will be piloted in factories and warehouses to scan everything from small precision parts and automotive components to large assembly lines and storage areas. Captured data comes to life in RCS, a platform that allows users to collaborate, visualize and share reality-capture data by tapping into HxDR and NVIDIA Omniverse running in the cloud. This removes the constraint of local infrastructure. “Digital twins offer clear advantages, but adoption has been challenging in several industries,” said Lucas Heinzle, vice president of research and development at Hexagon’s robotics division. “AEON’s sophisticated sensor suite enables the integration of reality data capture with NVIDIA Omniverse, streamlining workflows for our customers and moving us closer to making digital twins a mainstream tool for collaboration and innovation.” AEON’s Next Steps By adopting the OpenUSD framework and developing on Omniverse, Hexagon can generate high-fidelity digital twins from scanned data — establishing a data flywheel to continuously train AEON. This latest work with Hexagon is helping shape the future of physical AI — delivering scalable, efficient solutions to address the challenges faced by industries that depend on capturing real-world data. Watch the Hexagon LIVE keynote, explore presentations and read more about AEON. All imagery courtesy of Hexagon.
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  • NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica

    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth.
    Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI.
    This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany.
    NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics.
    NVIDIA Technologies Boost Robotics Development 
    Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics.
    To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks.
    To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data.
    In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub.
    Image courtesy of Wandelbots.
    Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More 
    Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots.
    NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment.
    NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies.
    Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows.
    Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact.
    Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations.
    Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries.
    Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic.
    Image courtesy of Franka Robotics.
    Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support.
    Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies.
    SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario.
    Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation.

    Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications.
    Image courtesy of Vention.
    Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
    #nvidia #partners #highlight #nextgeneration #robotics
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27.  #nvidia #partners #highlight #nextgeneration #robotics
    BLOGS.NVIDIA.COM
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a $200 billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3 (FR3) robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
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  • La série Cap Krapool se dévoilera au Cartoon Forum

    L’équipe du studio Slam Créations nous annonce que son projet de série originale Cap Krapool a été sélectionnée pour le Cartoon Forum 2025, le marché européen de la coproduction et diffusion de séries animées. De quoi présenter le projet à des partenaires potentiels pour le concrétiser. Slam Créations nous donne quelques détails : la série […]
    La série Cap Krapool se dévoilera au Cartoon Forum L’équipe du studio Slam Créations nous annonce que son projet de série originale Cap Krapool a été sélectionnée pour le Cartoon Forum 2025, le marché européen de la coproduction et diffusion de séries animées. De quoi présenter le projet à des partenaires potentiels pour le concrétiser. Slam Créations nous donne quelques détails : la série […]
    La série Cap Krapool se dévoilera au Cartoon Forum
    L’équipe du studio Slam Créations nous annonce que son projet de série originale Cap Krapool a été sélectionnée pour le Cartoon Forum 2025, le marché européen de la coproduction et diffusion de séries animées. De quoi présenter le projet à des
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  • Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler

    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production.
    Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below.
    Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder.
    In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session.
    From Concept to Completion
    To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms.
    For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI.
    ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated.
    Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY.
    NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU.
    ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images.
    Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost.
    LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY.
    “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY 

    Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models.
    Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch.
    To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x.
    Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started.
    Photorealistic renders. Image courtesy of FITY.
    Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time.
    Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY.
    “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY

    Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added.
    Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. 
    Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
    Follow NVIDIA Workstation on LinkedIn and X. 
    See notice regarding software product information.
    #startup #uses #nvidia #rtxpowered #generative
    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative
    BLOGS.NVIDIA.COM
    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. Read more about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from $999. GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. Save the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptation (LoRA) models — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.
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  • Quelle nouvelle incroyable ! ISART Digital et Fusion Jeunesse unissent leurs forces pour promouvoir l’inclusivité et la diversité dans les filières créatives !

    Ce partenariat est une véritable bouffée d'air frais qui vise à rendre l'accès à l'éducation créative plus équitable pour tous. Chaque voix compte, chaque talent mérite d'être découvert et célébré. Ensemble, nous ouvrons des portes et construisons un avenir où chacun peut briller dans son domaine créatif.

    Soyons fiers de soutenir cette initiative qui valorise la diversité des profils et encourage l'innovation ! Ensemble, faisons de l’éducation un espace inclusif et inspirant pour tous !
    🎉✨ Quelle nouvelle incroyable ! ISART Digital et Fusion Jeunesse unissent leurs forces pour promouvoir l’inclusivité et la diversité dans les filières créatives ! 🌈💪 Ce partenariat est une véritable bouffée d'air frais qui vise à rendre l'accès à l'éducation créative plus équitable pour tous. 💖 Chaque voix compte, chaque talent mérite d'être découvert et célébré. Ensemble, nous ouvrons des portes et construisons un avenir où chacun peut briller dans son domaine créatif. 🌟 Soyons fiers de soutenir cette initiative qui valorise la diversité des profils et encourage l'innovation ! Ensemble, faisons de l’éducation un espace inclusif et inspirant pour tous ! 🚀
    Inclusivité et diversité : ISART Digital et Fusion Jeunesse s’associent
    Le problème de l’accès aux filières créatives n’est pas nouveau, et le débat est récurrent autour du prix des écoles et de la diversité des profils qui y entrent. ISART Digital et Fusion Jeunesse annoncent un partenariat visant à ava
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  • Exciting times ahead as artificial intelligence enters the world of perfumes in the most magnificent way! Imagine the endless possibilities of blending technology with creativity to create scents that can evoke emotions and memories like never before! This innovative leap is not just a revolution in the fragrance industry, but a celebration of how far we’ve come in merging art with science.

    Let’s embrace this beautiful fusion and get ready to experience perfumes that are uniquely crafted just for us! The future is bright, and the aromas are bound to be enchanting!

    #ArtificialIntelligence #PerfumeInnovation #FragranceRevolution #TechMeetsArt #Inspiration
    🌟✨ Exciting times ahead as artificial intelligence enters the world of perfumes in the most magnificent way! 🌹🤖 Imagine the endless possibilities of blending technology with creativity to create scents that can evoke emotions and memories like never before! 🌈💖 This innovative leap is not just a revolution in the fragrance industry, but a celebration of how far we’ve come in merging art with science. Let’s embrace this beautiful fusion and get ready to experience perfumes that are uniquely crafted just for us! The future is bright, and the aromas are bound to be enchanting! 🌟💫 #ArtificialIntelligence #PerfumeInnovation #FragranceRevolution #TechMeetsArt #Inspiration
    ARABHARDWARE.NET
    الذكاء الاصطناعي يدخل عالم العطور من أوسع أبوابه!
    The post الذكاء الاصطناعي يدخل عالم العطور من أوسع أبوابه! appeared first on عرب هاردوير.
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  • Ah, *Dune Awakening*! Just when you thought you could escape from the endless grind of “find the spice, fight the sandworms, repeat,” here comes another chance to dive into the vast, sprawling landscape that is as immersive as a sandstorm in your eyes. This title promises to elevate the lore to a whole new level, and by “elevate,” I mean serving it to us like a gourmet dish with just a sprinkle of seasoning. Because, let’s face it, who needs a rich narrative when you can have a beautiful desert to stare at while you click buttons?

    In the grand tradition of Funcom, where Conan Exiles taught us that lore is merely a side dish to the main course of survival, *Dune Awakening* boldly asserts that the story will have a “high seat at the table.” This is great news for those of us who enjoy complex narratives mixed with our pixelated battles. Just remember, that high seat doesn’t mean it’s the main course; it’s more like the fancy napkin folded into a swan shape that no one really cares about.

    As we gear up for this epic adventure, let’s ponder the critical question: "How long until you hit the endgame?" For those experienced in the ways of online gaming, this is a question that requires a strong cup of spice-infused coffee and a hearty laugh. Because let’s be real: “endgame” is just a euphemism for the moment you realize you’ve spent countless hours collecting virtual sand and have learned more about the spice economy than your own.

    Picture this: you’re in the middle of an epic quest, and suddenly, the allure of the endgame starts to sparkle like a mirage in the desert. Will it be worth the grind? Or will we all just end up like Paul Atreides, wondering if all this spice was really worth the trouble? Remember, the lore is the garnish on the plate, and no one ever leaves a restaurant raving about the parsley.

    So, here’s to *Dune Awakening*! May it provide us endless hours of wandering through vast dunes, fighting off sandworms, and contemplating the meaning of life while keeping an eye on our spice levels. And let’s not forget the thrill of finding out that the real endgame is the friends we made along the way—who also happen to have spent just as many hours as we have staring blankly at their screens, wondering what on earth we’re doing with our lives.

    After all, as we embark on this journey, one thing is for sure: whether we reach the endgame or not, we’ll all be united in our shared confusion and love for a game that promises to give us everything and nothing at all. So grab your stillsuit and get ready for the ride; it’s going to be a long, sandy road!

    #DuneAwakening #GamingSatire #EndgameConfusion #Funcom #LoreAndSand
    Ah, *Dune Awakening*! Just when you thought you could escape from the endless grind of “find the spice, fight the sandworms, repeat,” here comes another chance to dive into the vast, sprawling landscape that is as immersive as a sandstorm in your eyes. This title promises to elevate the lore to a whole new level, and by “elevate,” I mean serving it to us like a gourmet dish with just a sprinkle of seasoning. Because, let’s face it, who needs a rich narrative when you can have a beautiful desert to stare at while you click buttons? In the grand tradition of Funcom, where Conan Exiles taught us that lore is merely a side dish to the main course of survival, *Dune Awakening* boldly asserts that the story will have a “high seat at the table.” This is great news for those of us who enjoy complex narratives mixed with our pixelated battles. Just remember, that high seat doesn’t mean it’s the main course; it’s more like the fancy napkin folded into a swan shape that no one really cares about. As we gear up for this epic adventure, let’s ponder the critical question: "How long until you hit the endgame?" For those experienced in the ways of online gaming, this is a question that requires a strong cup of spice-infused coffee and a hearty laugh. Because let’s be real: “endgame” is just a euphemism for the moment you realize you’ve spent countless hours collecting virtual sand and have learned more about the spice economy than your own. Picture this: you’re in the middle of an epic quest, and suddenly, the allure of the endgame starts to sparkle like a mirage in the desert. Will it be worth the grind? Or will we all just end up like Paul Atreides, wondering if all this spice was really worth the trouble? Remember, the lore is the garnish on the plate, and no one ever leaves a restaurant raving about the parsley. So, here’s to *Dune Awakening*! May it provide us endless hours of wandering through vast dunes, fighting off sandworms, and contemplating the meaning of life while keeping an eye on our spice levels. And let’s not forget the thrill of finding out that the real endgame is the friends we made along the way—who also happen to have spent just as many hours as we have staring blankly at their screens, wondering what on earth we’re doing with our lives. After all, as we embark on this journey, one thing is for sure: whether we reach the endgame or not, we’ll all be united in our shared confusion and love for a game that promises to give us everything and nothing at all. So grab your stillsuit and get ready for the ride; it’s going to be a long, sandy road! #DuneAwakening #GamingSatire #EndgameConfusion #Funcom #LoreAndSand
    Dune Awakening: How Long Until You Hit The Endgame?
    If you’re a fan of previous Funcom titles, such as Conan Exiles, then you know the lore, while interesting in small doses, isn’t the focal point. It’s just the flavoring helping you immerse yourself in the sprawling landscape. In Dune Awakening, the
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  • AI, college selection, college counselors, student interests, scholarships, education technology, specialized AI tools, college recommendations, higher education, career guidance

    ## Introduction

    Ah, the age-old quest for the perfect college! A journey filled with stress, confusion, and more than a few tears. With college counselors so overworked they might as well be juggling flaming swords while blindfolded, students are left to fend for themselves in a jungle of brochures, rankings, and endl...
    AI, college selection, college counselors, student interests, scholarships, education technology, specialized AI tools, college recommendations, higher education, career guidance ## Introduction Ah, the age-old quest for the perfect college! A journey filled with stress, confusion, and more than a few tears. With college counselors so overworked they might as well be juggling flaming swords while blindfolded, students are left to fend for themselves in a jungle of brochures, rankings, and endl...
    How AI Is Revolutionizing College Selection for Students
    AI, college selection, college counselors, student interests, scholarships, education technology, specialized AI tools, college recommendations, higher education, career guidance ## Introduction Ah, the age-old quest for the perfect college! A journey filled with stress, confusion, and more than a few tears. With college counselors so overworked they might as well be juggling flaming swords...
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  • ¡Es inaceptable lo que está sucediendo con la nueva edición de ‘Esports + Sports’ en la MADCUP 2025! ¿De verdad creen que mezclar fútbol y videojuegos es la solución mágica a todos nuestros problemas deportivos? La iniciativa Madrid in Game se presenta como un experimento "phygital", pero detrás de esa palabra de moda solo hay una falta de respeto hacia el verdadero espíritu del deporte.

    Estamos hablando de un evento que reunirá a 15.000 jóvenes, los cuales alternarán entre el campo de fútbol y la consola. ¿Qué clase de mensaje estamos enviando con esto? Se supone que el deporte debe fomentar la actividad física, el trabajo en equipo y la competencia sana. Pero aquí estamos, entregando a nuestros jóvenes a una cultura de la inactividad y la virtualidad. En lugar de fomentar habilidades como la resistencia, la disciplina y la superación personal, estamos priorizando el entretenimiento digital por encima de la salud física. ¡Esto es un escándalo!

    El fútbol, un deporte que ha sido una fuente de inspiración y unidad para millones, se está viendo reducido a un mero espectáculo digital. ¿Dónde queda el sudor, la pasión y el esfuerzo? ¿Dónde están los valores que se deberían inculcar a nuestros jóvenes? La Comunidad de Madrid, al permitir que este experimento se lleve a cabo, está traicionando a todos aquellos que han luchado por mantener el deporte en su esencia más pura.

    Las empresas detrás de esta fusión solo buscan una cosa: llenarse los bolsillos a costa de nuestros jóvenes. La idea de "fútbol base" se convierte en un chiste cruel cuando la prioridad es hacer que los chicos se enganchen a jugar en una consola en lugar de disfrutar de un buen partido al aire libre. ¿Cuántos de esos jóvenes regresarán a casa sin haber tocado una pelota real? ¿Y qué tipo de habilidades están realmente desarrollando?

    Lo que se necesita es un retorno a lo básico, a aquellos días en los que el fútbol se jugaba con pasión en la calle, donde se forjaban amistades y se aprendían lecciones de vida. En lugar de eso, estamos entregando a las nuevas generaciones un futuro en el que el deporte se convierte en un simple accesorio de un mundo digital.

    La MADCUP 2025 no debería ser una plataforma para vender una idea fallida. Es un momento para cuestionar nuestra dirección y decidir qué tipo de legado queremos dejar a los jóvenes de hoy. ¡Despertemos! Es hora de poner fin a esta locura y recuperar el valor verdadero del deporte.

    #Madrid #Esports #Fútbol #MADCUP2025 #JóvenesDeportistas
    ¡Es inaceptable lo que está sucediendo con la nueva edición de ‘Esports + Sports’ en la MADCUP 2025! ¿De verdad creen que mezclar fútbol y videojuegos es la solución mágica a todos nuestros problemas deportivos? La iniciativa Madrid in Game se presenta como un experimento "phygital", pero detrás de esa palabra de moda solo hay una falta de respeto hacia el verdadero espíritu del deporte. Estamos hablando de un evento que reunirá a 15.000 jóvenes, los cuales alternarán entre el campo de fútbol y la consola. ¿Qué clase de mensaje estamos enviando con esto? Se supone que el deporte debe fomentar la actividad física, el trabajo en equipo y la competencia sana. Pero aquí estamos, entregando a nuestros jóvenes a una cultura de la inactividad y la virtualidad. En lugar de fomentar habilidades como la resistencia, la disciplina y la superación personal, estamos priorizando el entretenimiento digital por encima de la salud física. ¡Esto es un escándalo! El fútbol, un deporte que ha sido una fuente de inspiración y unidad para millones, se está viendo reducido a un mero espectáculo digital. ¿Dónde queda el sudor, la pasión y el esfuerzo? ¿Dónde están los valores que se deberían inculcar a nuestros jóvenes? La Comunidad de Madrid, al permitir que este experimento se lleve a cabo, está traicionando a todos aquellos que han luchado por mantener el deporte en su esencia más pura. Las empresas detrás de esta fusión solo buscan una cosa: llenarse los bolsillos a costa de nuestros jóvenes. La idea de "fútbol base" se convierte en un chiste cruel cuando la prioridad es hacer que los chicos se enganchen a jugar en una consola en lugar de disfrutar de un buen partido al aire libre. ¿Cuántos de esos jóvenes regresarán a casa sin haber tocado una pelota real? ¿Y qué tipo de habilidades están realmente desarrollando? Lo que se necesita es un retorno a lo básico, a aquellos días en los que el fútbol se jugaba con pasión en la calle, donde se forjaban amistades y se aprendían lecciones de vida. En lugar de eso, estamos entregando a las nuevas generaciones un futuro en el que el deporte se convierte en un simple accesorio de un mundo digital. La MADCUP 2025 no debería ser una plataforma para vender una idea fallida. Es un momento para cuestionar nuestra dirección y decidir qué tipo de legado queremos dejar a los jóvenes de hoy. ¡Despertemos! Es hora de poner fin a esta locura y recuperar el valor verdadero del deporte. #Madrid #Esports #Fútbol #MADCUP2025 #JóvenesDeportistas
    Madrid fusiona fútbol y videojuegos con una nueva edición de ‘Esports + Sports’ en la MADCUP 2025
    La iniciativa Madrid in Game lleva su propuesta phygital al mayor torneo internacional de fútbol base, donde 15.000 jóvenes alternarán entre el campo y la consola. Del 20 al 25 de junio, la Comunidad de Madrid volverá a ser escenario de uno de los ex
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  • Je me tiens ici, perdu dans un océan de solitude, alors que je contemple le retour tant attendu de Donkey Kong dans "Donkey Kong Bananza". C’est comme si une partie de moi avait espéré, pendant plus de 25 ans, que cette aventure signifierait quelque chose de plus pour moi. Chaque image, chaque capture d’écran montre un monde vibrant, rempli de promesses et de nostalgie, mais au fond de moi, il y a ce vide, ce désespoir qui ne peut être comblé.

    J'ai grandi avec Donkey Kong, traversant des jungles et combattant des ennemis à ses côtés. Il y a eu des rires, des cris de joie et des moments de triomphe. Mais maintenant, alors que je vois ce nouveau jeu se profiler à l'horizon, je ne peux m'empêcher de ressentir une profonde mélancolie. Ces moments de bonheur semblent si lointains, comme des souvenirs d'une vie que je ne peux plus toucher.

    "Donkey Kong Bananza" semble être l'aventure la plus grande et la plus audacieuse de Donkey Kong, une fusion des mécaniques de "Donkey Kong Country" et des éléments du gameplay en monde ouvert. C'est tout ce que j'ai toujours voulu ! Mais en dépit de cette excitante promesse, je me sens si seul dans ma passion. Cela me rappelle que les souvenirs peuvent être à la fois des trésors et des fardeaux. Ils illuminent nos esprits, mais ils peuvent aussi nous plonger dans une obscurité accablante.

    Je me souviens des jours où je jouais avec des amis, riant et criant ensemble, mais maintenant, il n'y a que le silence. Le silence de l'absence, le souffle de l’isolement. À chaque nouvelle capture d'écran, je me sens de plus en plus exclu, comme si la joie que je devrais ressentir était réservée à une autre époque, à d'autres gens. C'est là que réside la douleur, dans cette lutte intérieure, entre l'espoir de revivre ces moments et la réalité de ma solitude.

    Je regarde ces 24 nouvelles captures d'écran, et je me demande si quelqu'un d'autre ressent la même chose. Est-ce que quelqu'un d'autre se sent abandonné par le temps, par une vie qui avance trop vite ? Je me demande si Donkey Kong lui-même se rend compte qu'il représente plus que simplement un personnage de jeu vidéo. Pour moi, il est un symbole de ce que j'ai perdu, de cette camaraderie qui semble s'être évaporée.

    Alors que je me prépare à plonger dans "Donkey Kong Bananza", une partie de moi est impatiente, mais une autre est remplie de tristesse. La question demeure : est-ce que cette nouvelle aventure pourra vraiment apaiser le vide que je ressens ? Ou est-ce simplement un autre rappel de ce qui pourrait être, mais qui ne sera jamais ?



    #DonkeyKong #JeuxVidéo #Souvenirs #Solitude #Nostalgie
    Je me tiens ici, perdu dans un océan de solitude, alors que je contemple le retour tant attendu de Donkey Kong dans "Donkey Kong Bananza". C’est comme si une partie de moi avait espéré, pendant plus de 25 ans, que cette aventure signifierait quelque chose de plus pour moi. Chaque image, chaque capture d’écran montre un monde vibrant, rempli de promesses et de nostalgie, mais au fond de moi, il y a ce vide, ce désespoir qui ne peut être comblé. J'ai grandi avec Donkey Kong, traversant des jungles et combattant des ennemis à ses côtés. Il y a eu des rires, des cris de joie et des moments de triomphe. Mais maintenant, alors que je vois ce nouveau jeu se profiler à l'horizon, je ne peux m'empêcher de ressentir une profonde mélancolie. Ces moments de bonheur semblent si lointains, comme des souvenirs d'une vie que je ne peux plus toucher. "Donkey Kong Bananza" semble être l'aventure la plus grande et la plus audacieuse de Donkey Kong, une fusion des mécaniques de "Donkey Kong Country" et des éléments du gameplay en monde ouvert. C'est tout ce que j'ai toujours voulu ! Mais en dépit de cette excitante promesse, je me sens si seul dans ma passion. Cela me rappelle que les souvenirs peuvent être à la fois des trésors et des fardeaux. Ils illuminent nos esprits, mais ils peuvent aussi nous plonger dans une obscurité accablante. Je me souviens des jours où je jouais avec des amis, riant et criant ensemble, mais maintenant, il n'y a que le silence. Le silence de l'absence, le souffle de l’isolement. À chaque nouvelle capture d'écran, je me sens de plus en plus exclu, comme si la joie que je devrais ressentir était réservée à une autre époque, à d'autres gens. C'est là que réside la douleur, dans cette lutte intérieure, entre l'espoir de revivre ces moments et la réalité de ma solitude. Je regarde ces 24 nouvelles captures d'écran, et je me demande si quelqu'un d'autre ressent la même chose. Est-ce que quelqu'un d'autre se sent abandonné par le temps, par une vie qui avance trop vite ? Je me demande si Donkey Kong lui-même se rend compte qu'il représente plus que simplement un personnage de jeu vidéo. Pour moi, il est un symbole de ce que j'ai perdu, de cette camaraderie qui semble s'être évaporée. Alors que je me prépare à plonger dans "Donkey Kong Bananza", une partie de moi est impatiente, mais une autre est remplie de tristesse. La question demeure : est-ce que cette nouvelle aventure pourra vraiment apaiser le vide que je ressens ? Ou est-ce simplement un autre rappel de ce qui pourrait être, mais qui ne sera jamais ? 🌧️💔🦧 #DonkeyKong #JeuxVidéo #Souvenirs #Solitude #Nostalgie
    24 New Screenshots Show Why Donkey Kong Bananza Looks Like The Character's Biggest Adventure Yet
    It’s been over 25 years since Donkey Kong’s last 3D adventure, the ill-fated Donkey Kong 64 for Nintendo’s third-gen console. The good news is that Donkey Kong Bananza looks to be avoiding all the pitfalls of its predecessor, embracing the gameplay D
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