I started learning to animate with Lego when I was a kid, and am teaching my little brother now. Thought Id see what I could do with newer tools and skills submitted by /u/jldfour1122 [link] [comments]

Connections has another collection of sixteen words and four mystery categories. In order to get these two to line up, you will need to ponder over the words, figure out what all of them have in common with one another, and filter out all the red herrings.

Action JRPGs have had a fascinating rise to the top, as the traditional turn-based JRPGs from the 1990s and early 2000s were a dominant force that showed no signs of slowing down. But with the advent of new, more powerful hardware, the options for developers started to expand, and they were able to incorporate combat systems with a harder focus on real-time combat. This shift has resulted in a lot more action JRPGs released every single year, proving that this massively popular genre is here to stay.

A new teaser for WWE 2K25 has revealed that January 27 will be a big day for fans of the series. With the Road to WrestleMania on its way, many fans are expecting that information regarding WWE 2K25 will start rolling out soon, similar to WWE 2K24 last year. With the WWE 2K25 wishlist page also mentioning that more information will be shared by January 28, many gamers are already looking forward to said date.

Autonomous vehicle (AV) development is made possible by three distinct computers: NVIDIA DGX systems for training the AI-based stack in the data center, NVIDIA Omniverse running on NVIDIA OVX systems for simulation and synthetic data generation, and the NVIDIA AGX in-vehicle computer to process real-time sensor data for safety.Together, these purpose-built, full-stack systems enable continuous development cycles, speeding improvements in performance and safety.At the CES trade show, NVIDIA today announced a new part of the equation: NVIDIA Cosmos, a platform comprising state-of-the-art generative world foundation models (WFMs), advanced tokenizers, guardrails and an accelerated video processing pipeline built to advance the development of physical AI systems such as AVs and robots.With Cosmos added to the three-computer solution, developers gain a data flywheel that can turn thousands of human-driven miles into billions of virtually driven miles amplifying training data quality.The AV data factory flywheel consists of fleet data collection, accurate 4D reconstruction and AI to generate scenes and traffic variations for training and closed-loop evaluation, said Sanja Fidler, vice president of AI research at NVIDIA. Using the NVIDIA Omniverse platform, as well as Cosmos and supporting AI models, developers can generate synthetic driving scenarios to amplify training data by orders of magnitude.Developing physical AI models has traditionally been resource-intensive and costly for developers, requiring acquisition of real-world datasets and filtering, curating and preparing data for training, said Norm Marks, vice president of automotive at NVIDIA. Cosmos accelerates this process with generative AI, enabling smarter, faster and more precise AI model development for autonomous vehicles and robotics.Transportation leaders are using Cosmos to build physical AI for AVs, including:Waabi, a company pioneering generative AI for the physical world, will use Cosmos for the search and curation of video data for AV software development and simulation.Wayve, which is developing AI foundation models for autonomous driving, is evaluating Cosmos as a tool to search for edge and corner case driving scenarios used for safety and validation.AV toolchain provider Foretellix will use Cosmos, alongside NVIDIA Omniverse Sensor RTX APIs, to evaluate and generate high-fidelity testing scenarios and training data at scale.In addition, ridesharing giant Uber is partnering with NVIDIA to accelerate autonomous mobility. Rich driving datasets from Uber, combined with the features of the Cosmos platform and NVIDIA DGX Cloud, will help AV partners build stronger AI models even more efficiently.AvailabilityCosmos WFMs are now available under an open model license on Hugging Face and the NVIDIA NGC catalog. Cosmos models will soon be available as fully optimized NVIDIA NIM microservices.Get started with Cosmos and join NVIDIA at CES.See notice regarding software product information.

New NVIDIA AI Blueprints for building agentic AI applications are poised to help enterprises everywhere automate work.With the blueprints, developers can now build and deploy custom AI agents. These AI agents act like knowledge robots that can reason, plan and take action to quickly analyze large quantities of data, summarize and distill real-time insights from video, PDF and other images.CrewAI, Daily, LangChain, LlamaIndex and Weights & Biases are among leading providers of agentic AI orchestration and management tools that have worked with NVIDIA to build blueprints that integrate the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices and NVIDIA NeMo, with their platforms. These five blueprints comprising a new category of partner blueprints for agentic AI provide the building blocks for developers to create the next wave of AI applications that will transform every industry.In addition to the partner blueprints, NVIDIA is introducing its own new AI Blueprint for PDF to podcast, as well as another to build AI agents for video search and summarization. These are joined by four additional NVIDIA Omniverse Blueprints that make it easier for developers to build simulation-ready digital twins for physical AI.To help enterprises rapidly take AI agents into production, Accenture is announcing AI Refinery for Industry built with NVIDIA AI Enterprise, including NVIDIA NeMo, NVIDIA NIM microservices and AI Blueprints.The AI Refinery for Industry solutions powered by Accenture AI Refinery with NVIDIA can help enterprises rapidly launch agentic AI across fields like automotive, technology, manufacturing, consumer goods and more.Agentic AI Orchestration Tools Conduct a Symphony of AgentsAgentic AI represents the next wave in the evolution of generative AI. It enables applications to move beyond simple chatbot interactions to tackle complex, multi-step problems through sophisticated reasoning and planning. As explained in NVIDIA founder and CEO Jensen Huangs CES keynote, enterprise AI agents will become a centerpiece of AI factories that generate tokens to create unprecedented intelligence and productivity across industries.Agentic AI orchestration is a sophisticated system designed to manage, monitor and coordinate multiple AI agents working together key to developing reliable enterprise agentic AI systems. The agentic AI orchestration layer from NVIDIA partners provides the glue needed for AI agents to effectively work together.The new partner blueprints, now available from agentic AI orchestration leaders, offer integrations with NVIDIA AI Enterprise software, including NIM microservices and NVIDIA NeMo Retriever, to boost retrieval accuracy and reduce latency of agent workflows. For example:CrewAI is using new Llama 3.3 70B NVIDIA NIM microservices and the NVIDIA NeMo Retriever embedding NIM microservice for its blueprint for code documentation for software development. The blueprint helps ensure code repositories remain comprehensive and easy to navigate.Dailys voice agent blueprint, powered by the companys open-source Pipecat framework, uses the NVIDIA Riva automatic speech recognition and text-to-speech NIM microservice, along with the Llama 3.3 70B NIM microservice to achieve real-time conversational AI.LangChain is adding Llama 3.3 70B NVIDIA NIM microservices to its structured report generation blueprint. Built on LangGraph, the blueprint allows users to define a topic and specify an outline to guide an agent in searching the web for relevant information, so it can return a report in the requested format.LlamaIndexs document research assistant for blog creation blueprint harnesses NVIDIA NIM microservices and NeMo Retriever to help content creators produce high-quality blogs. It can tap into agentic-driven retrieval-augmented generation with NeMo Retriever to automatically research, outline and generate compelling content with source attribution.Weights & Biases is adding its W&B Weave capability to the AI Blueprint for AI virtual assistants, which features the Llama 3.1 70B NIM microservice. The blueprint can streamline the process of debugging, evaluating, iterating and tracking production performance and collecting human feedback to support seamless integration and faster iterations for building and deploying agentic AI applications.Summarize Many, Complex PDFs While Keeping Proprietary Data SecureWith trillions of PDF files from financial reports to technical research papers generated every year, its a constant challenge to stay up to date with information.NVIDIAs PDF to podcast AI Blueprint provides a recipe developers can use to turn multiple long and complex PDFs into AI-generated readouts that can help professionals, students and researchers efficiently learn about virtually any topic and quickly understand key takeaways.The blueprint built on NIM microservices and text-to-speech models allows developers to build applications that extract images, tables and text from PDFs, and convert the data into easily digestible audio content, all while keeping data secure.For example, developers can build AI agents that can understand context, identify key points and generate a concise summary as a monologue or a conversation-style podcast, narrated in a natural voice. This offers users an engaging, time-efficient way to absorb information at their desired speed.Test, Prototype and Run Agentic AI Blueprints in One ClickNVIDIA Blueprints empower the worlds more than 25 million software developers to easily integrate AI into their applications across various industries. These blueprints simplify the process of building and deploying agentic AI applications, making advanced AI integration more accessible than ever.With just a single click, developers can now build and run the new agentic AI Blueprints as NVIDIA Launchables. These Launchables provide on-demand access to developer environments with predefined configurations, enabling quick workflow setup.By containing all necessary components for development, Launchables support consistent and reproducible setups without the need for manual configuration or overhead streamlining the entire development process, from prototyping to deployment.Enterprises can also deploy blueprints into production with the NVIDIA AI Enterprise software platform on data center platforms including Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro, or run them on accelerated cloud platforms from Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure.Accenture and NVIDIA Fast-Track Deployments With AI Refinery for IndustryAccenture is introducing its new AI Refinery for Industry with 12 new industry agent solutions built with NVIDIA AI Enterprise software and available from the Accenture NVIDIA Business Group. These industry-specific agent solutions include revenue growth management for consumer goods and services, clinical trial companion for life sciences, industrial asset troubleshooting and B2B marketing, among others.AI Refinery for Industry offerings include preconfigured components, best practices and foundational elements designed to fast-track the development of AI agents. They provide organizations the tools to build specialized AI networks tailored to their industry needs.Accenture plans to launch over 100 AI Refinery for Industry agent solutions by the end of the year.Get started with AI Blueprints and join NVIDIA at CES.See notice regarding software product information.

From creating the GPU, RTX real-time ray tracing and neural rendering to now reinventing computing for AI, NVIDIA has for decades been at the forefront of computer graphics pushing the boundaries of whats possible in media and entertainment.NVIDIA Media2 is the latest AI-powered initiative transforming content creation, streaming and live media experiences.Built on technologies like NVIDIA NIM microservices and AI Blueprints and breakthrough AI applications from startups and software partners Media2 uses AI to drive the creation of smarter, more tailored and more impactful content that can adapt to individual viewer preferences.Amid this rapid creative transformation, companies embracing NVIDIA Media2 can stay on the $3 trillion media and entertainment industrys cutting edge, reshaping how audiences consume and engage with content.NVIDIA Media2 technology stackNVIDIA Technologies at the Heart of Media2As the media and entertainment industry embraces generative AI and accelerated computing, NVIDIA technologies are transforming how content is created, delivered and experienced.NVIDIA Holoscan for Media is a software-defined, AI-enabled platform that allows companies in broadcast, streaming and live sports to run live video pipelines on the same infrastructure as AI. The platform delivers applications from vendors across the industry on NVIDIA-accelerated infrastructure.NVIDIA Holoscan for MediaDelivering the power needed to drive the next wave of data-enhanced intelligent content creation and hyper-personalized media is the NVIDIA Blackwell architecture, built to handle data-center-scale generative AI workflows with up to 25x more energy efficiency over the NVIDIA Hopper generation. Blackwell integrates six types of chips: GPUs, CPUs, DPUs, NVIDIA NVLink Switch chips, NVIDIA InfiniBand switches and Ethernet switches.NVIDIA Blackwell architectureBlackwell is supported by NVIDIA AI Enterprise, an end-to-end software platform for production-grade AI. NVIDIA AI Enterprise comprises NVIDIA NIM microservices, AI frameworks, libraries and tools that media companies can deploy on NVIDIA-accelerated clouds, data centers and workstations. Of the expanding list, these include:The Llama 3.1-405B-Instruct NIM microservice, which enables synthetic data generation, distillation and inference for chatbots, coding and domain-specific tasks.The Mistral-NeMo-12B-Instruct NIM microservice, which enables multilingual information retrieval the ability to search, process and retrieve knowledge across languages. This is key in enhancing an AI models outputs with greater accuracy and global relevancy.The NVIDIA Omniverse Blueprint for 3D conditioning for precise visual generative AI, which can help advertisers easily build personalized, on-brand and product-accurate marketing content at scale using real-time rendering and generative AI without affecting a hero product asset.NVIDIA NeMo Retriever embedding and reranking NIM microservices, which can vectorize text documents, transcripts, news articles and other written content. Media companies can use these to expand their generative AI efforts and build accurate, multilingual systems.The NVIDIA Cosmos Nemotron vision language model NIM microservice, which is a multimodal VLM that can understand the meaning and context of text, images and video. With the microservice, media companies can query images and videos with natural language and receive informative responses.The NVIDIA AI Blueprint for video search and summarization (VSS), which integrates VLMs and LLMs and provides cloud-native building blocks to build video analytics, search and summarization applications.The NVIDIA Edify multimodal generative AI architecture, which can generate visual assets like images, 3D models and HDRi environments from text or image prompts. It offers advanced editing tools and efficient training for developers. With NVIDIA AI Foundry, service providers can customize Edify models for commercial visual services using NVIDIA NIM microservices.Partners in the Media2 EcosystemPartners across the industry are adopting NVIDIA technology to reshape the next chapter of storytelling.Getty Images and Shutterstock are intelligent content creation services built with NVIDIA Edify. The AI models have also been optimized and packaged for maximum performance with NVIDIA NIM microservices.Bria is a commercial-first visual generative AI platform designed for developers. Its trained on 100% licensed data and built on responsible AI principles. The platform offers tools for custom pipelines, seamless integration and flexible deployment, ensuring enterprise-grade compliance and scalable, predictable content generation. Optimized with NVIDIA NIM microservices, Bria delivers faster, safer and scalable production-ready solutions.Runway is an AI platform that provides advanced creative tools for artists and filmmakers. The companys Gen-3 Alpha Turbo model excels in video generation and includes a new Camera Control feature that allows for precise camera movements like pan, tilt and zoom. Runways integration of the NVIDIA CV-CUDA open-source library combined with NVIDIA GPUs accelerates preprocessing for high-resolution videos in its segmentation model.Wonder Dynamics, an Autodesk company, recently launched the beta version of Wonder Animation, featuring powerful new video-to-3D scene technology that can turn any video sequence into a 3D-animated scene for animated film production. Accelerated by NVIDIA GPU technology, Wonder Animation provides visual effects artists and animators with an easy-to-use, flexible tool that significantly reduces the time, complexity and efforts traditionally associated with 3D animation and visual effects workflows while allowing the artist to maintain full creative control.Comcasts Sky innovation team is collaborating with NVIDIA on lab testing NVIDIA NIM microservices and partner models for its global platforms. The integration could lead to greater interactivity and accessibility for customers around the world, such as enabling the use of voice commands to request summaries during live sports and access other contextual information.V, a creative technology company and home to the largest network of virtual studios, is broadening access to the creation of virtual environments and immersive content with NVIDIA-accelerated generative AI technologies.Twelve Labs, a member of the NVIDIA Inception program for startups, is developing advanced multimodal foundation models that can understand videos like humans, enabling precise semantic search, content analysis and video-to-text generation. Twelve Labs uses NVIDIA H100 GPUs to significantly improve the models inference performance, achieving up to a 7x improvement in requests served per second.S4 Capitals Monks is using cutting-edge AI technologies to enhance live broadcasts with real-time content segmentation and personalized fan experiences. Powered by NVIDIA Holoscan for Media, the companys solution is integrated with tools like NVIDIA VILA to generate contextual metadata for injection within a time-addressible media store framework enabling precise, action-based searching within video content.Additionally, Monks uses NVIDIA NeMo Curator to help process data to build tailored AI models for sports leagues and IP holders, unlocking new monetization opportunities through licensing. By combining these technologies, broadcasters can seamlessly deliver hyper-relevant content to fans as events unfold, while adapting to the evolving demands of modern audiences.Media companies manage vast amounts of video content, which can be challenging and time-consuming to locate, catalog and compile into finished assets. Leading media-focused consultant and system integrator Qvest has developed an AI video discovery engine, built on NIM microservices, that accelerates this process by automating the data capture of video files. This streamlines a users ability to both discover and contextualize how videos can fit in their intended story.Verizon is transforming global enterprise operations, as well as live media and sports content, by integrating its reliable, secure private 5G network with NVIDIAs full-stack AI platform, including NVIDIA AI Enterprise and NIM microservices, to deliver the latest AI solutions at the edge.Using this solution, streamers, sports leagues and rights holders can enhance fan experiences with greater interactivity and immersion by deploying high-performance 5G connectivity along with generative AI, agentic AI, extended reality and streaming applications that enable personalized content delivery. These technologies also help elevate player performance and viewer engagement by offering real-time data analytics to coaches, players, referees and fans. It can also enable private 5G-powered enterprise AI use cases to drive automation and productivity.Welcome to NVIDIA Media2The NVIDIA Media2 initiative empowers companies to redefine the future of media and entertainment through intelligent, data-driven and immersive technologies giving them a competitive edge while equipping them to drive innovation across the industry.NIM microservices from NVIDIA and model developers are now available to try, with additional models added regularly.Get started with NVIDIA NIM and AI Blueprints, and watch the CES opening keynote delivered by NVIDIA founder and CEO Jensen Huang to hear the latest advancements in AI.See notice regarding software product information.

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NVIDIA is launching a native GeForce NOW app on the Steam Deck and browser versions on major mixed reality headsets including the Apple Vision Pro and Meta Quest 3 and 3S, the company said at CES 2025. That will bring NVIDIA's 2,100-plus titles to those devices, including two AAA Microsoft games arriving later in 2025.Valve's Steam Deck already had limited beta support for GeForce NOW via the Chrome browser and an automated script. The native version should improve performance, with up to 4K 60p resolution with HDR when connected to a TV, powered by cloud-based GeForce RTX gaming rigs. Users will get the same benefits as RTX GPU owners, including DLSS 3 technology to improve frame rates. NVIDIA didn't provide an exact launch date other than "later this year."GeForce NOW is also coming to VR headsets and much sooner. The company will support the Apple Vision Pro and Meta quest 3 and 3S, along with Byte Dance's Pico VR and MR headsets. If you own one of those headsets, you'll just need to open the browser to play.geforcenow.com when the version 2.0.70 app update arrives later this month.On top of the existing GeForce Now game library, owners of those devices will gain access to Obsidian Entertainment's Avowed and DOOM: The Dark Ages from id Software when they're launched on PC later this year. All of that could make GeForce NOW temping for users on the fence, though as a reminder, you have to buy any games you want to play on top of paying up to $20 per month for the service itself.This article originally appeared on Engadget at https://www.engadget.com/gaming/nvidias-native-geforce-now-app-is-coming-to-the-steam-deck-093030989.html?src=rss