Nature, Published online: 07 January 2025; doi:10.1038/d41586-025-00017-2Biodiversity credits are more problematic than carbon credits

Nature, Published online: 07 January 2025; doi:10.1038/d41586-025-00019-0Science communication has a problem communication

Disneyland isn't just the happiest place on Earthits also a dream come true for many kids of all ages. From timeless classics like Peter Pan's Flight to quirky boat rides like Jungle Cruise, Disneyland is filled with attractions designed to spark joy and create lifelong memories. Whether its a childs first visit or a return to a favorite destination, these kid-friendly rides and experiences offer magical moments for everyone.

Lava Hound is a Legendary air troop in Clash Royale that targets enemy buildings. It has a whopping 3581 HP at tournament levels but deals minimal damage. However, once it dies, it spawns six Lava Pups, each targeting anything within range. Because of the massive health pool of the Lava Hound, it's considered one of the strongest win conditions in the game.

Take a look at this official overview trailer to see NVIDIA's Bryan Catanzaro and Edward Liu give viewers an overview of DLSS 4.

I just realized I never posted a video showing my most recent version of GPU hydraulic erosion, so here it is :)heightmap size is 1024x1024, rendered with tessellation shaders with displacement mapping.Textures from FreePBR.com and Textures.com

Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, NVIDIA is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts.Announced by NVIDIA founder and CEO Jensen Huang today at the CES trade show, the NVIDIA Isaac GR00T Blueprint for synthetic motion generation helps developers generate exponentially large synthetic motion data to train their humanoids using imitation learning.Imitation learning a subset of robot learning enables humanoids to acquire new skills by observing and mimicking expert human demonstrations. Collecting these extensive, high-quality datasets in the real world is tedious, time-consuming and often prohibitively expensive. Implementing the Isaac GR00T blueprint for synthetic motion generation allows developers to easily generate exponentially large synthetic datasets from just a small number of human demonstrations.Starting with the GR00T-Teleop workflow, users can tap into the Apple Vision Pro to capture human actions in a digital twin. These human actions are mimicked by a robot in simulation and recorded for use as ground truth.The GR00T-Mimic workflow then multiplies the captured human demonstration into a larger synthetic motion dataset. Finally, the GR00T-Gen workflow, built on the NVIDIA Omniverse and NVIDIA Cosmos platforms, exponentially expands this dataset through domain randomization and 3D upscaling.The dataset can then be used as an input to the robot policy, which teaches robots how to move and interact with their environment effectively and safely in NVIDIA Isaac Lab, an open-source and modular framework for robot learning.World Foundation Models Narrow the Sim-to-Real GapNVIDIA also announced Cosmos at CES, a platform featuring a family of open, pretrained world foundation models purpose-built for generating physics-aware videos and world states for physical AI development. It includes autoregressive and diffusion models in a variety of sizes and input data formats. The models were trained on 18 quadrillion tokens, including 2 million hours of autonomous driving, robotics, drone footage and synthetic data.In addition to helping generate large datasets, Cosmos can reduce the simulation-to-real gap by upscaling images from 3D to real. Combining Omniverse a developer platform of application programming interfaces and microservices for building 3D applications and services with Cosmos is critical, because it helps minimize potential hallucinations commonly associated with world models by providing crucial safeguards through its highly controllable, physically accurate simulations.An Expanding EcosystemCollectively, NVIDIA Isaac GR00T, Omniverse and Cosmos are helping physical AI and humanoid innovation take a giant leap forward. Major robotics companies have started adopting and demonstrated results with Isaac GR00T, including Boston Dynamics and Figure.Humanoid software, hardware and robot manufacturers can apply for early access to NVIDIAs humanoid robot developer program.Watch the CES opening keynote from NVIDIA founder and CEO Jensen Huang, and stay up to date by subscribing to the newsletter and following NVIDIA Robotics on LinkedIn, Instagram, X and Facebook.See notice regarding software product information.

NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).World foundation models, or WFMs, are as fundamental as large language models. They use input data, including text, image, video and movement, to generate and simulate virtual worlds in a way that accurately models the spatial relationships of objects in the scene and their physical interactions.Announced today at CES, NVIDIA is making available the first wave of Cosmos WFMs for physics-based simulation and synthetic data generation plus state-of-the-art tokenizers, guardrails, an accelerated data processing and curation pipeline, and a framework for model customization and optimization.Researchers and developers, regardless of their company size, can freely use the Cosmos models under NVIDIAs permissive open model license that allows commercial usage. Enterprises building AI agents can also use new open NVIDIA Llama Nemotron and Cosmos Nemotron models, unveiled at CES.The openness of Cosmos state-of-the-art models unblocks physical AI developers building robotics and AV technology and enables enterprises of all sizes to more quickly bring their physical AI applications to market. Developers can use Cosmos models directly to generate physics-based synthetic data, or they can harness the NVIDIA NeMo framework to fine-tune the models with their own videos for specific physical AI setups.Physical AI leaders including robotics companies 1X, Agility Robotics and XPENG, and AV developers Uber and Waabi are already working with Cosmos to accelerate and enhance model development.Developers can preview the first Cosmos autoregressive and diffusion models on the NVIDIA API catalog, and download the family of models and fine-tuning framework from the NVIDIA NGC catalog and Hugging Face.World Foundational Models for Physical AICosmos world foundation models are a suite of open diffusion and autoregressive transformer models for physics-aware video generation. The models have been trained on 9,000 trillion tokens from 20 million hours of real-world human interactions, environment, industrial, robotics and driving data.The models come in three categories: Nano, for models optimized for real-time, low-latency inference and edge deployment; Super, for highly performant baseline models; and Ultra, for maximum quality and fidelity, best used for distilling custom models.When paired with NVIDIA Omniverse 3D outputs, the diffusion models generate controllable, high-quality synthetic video data to bootstrap training of robotic and AV perception models. The autoregressive models predict what should come next in a sequence of video frames based on input frames and text. This enables real-time next-token prediction, giving physical AI models the foresight to predict their next best action.Developers can use Cosmos open models for text-to-world and video-to-world generation. Versions of the diffusion and autoregressive models, with between 4 and 14 billion parameters each, are available now on the NGC catalog and Hugging Face.Also available are a 12-billion-parameter upsampling model for refining text prompts, a 7-billion-parameter video decoder optimized for augmented reality, and guardrail models to ensure responsible, safe use.To demonstrate opportunities for customization, NVIDIA is also releasing fine-tuned model samples for vertical applications, such as generating multisensor views for AVs.Advancing Robotics, Autonomous Vehicle ApplicationsCosmos world foundation models can enable synthetic data generation to augment training datasets, simulation to test and debug physical AI models before theyre deployed in the real world, and reinforcement learning in virtual environments to accelerate AI agent learning.Developers can generate massive amounts of controllable, physics-based synthetic data by conditioning Cosmos with composed 3D scenes from NVIDIA Omniverse.Waabi, a company pioneering generative AI for the physical world, starting with autonomous vehicles, is evaluating the use of Cosmos for the search and curation of video data for AV software development and simulation. This will further accelerate the companys industry-leading approach to safety, which is based on Waabi World, a generative AI simulator that can create any situation a vehicle might encounter with the same level of realism as if it happened in the real world.In robotics, WFMs can generate synthetic virtual environments or worlds to provide a less expensive, more efficient and controlled space for robot learning. Embodied AI startup Hillbot is boosting its data pipeline by using Cosmos to generate terabytes of high-fidelity 3D environments. This AI-generated data will help the company refine its robotic training and operations, enabling faster, more efficient robotic skilling and improved performance for industrial and domestic tasks.In both industries, developers can use NVIDIA Omniverse and Cosmos as a multiverse simulation engine, allowing a physical AI policy model to simulate every possible future path it could take to execute a particular task which in turn helps the model select the best of these paths.Data curation and the training of Cosmos models relied on thousands of NVIDIA GPUs through NVIDIA DGX Cloud, a high-performance, fully managed AI platform that provides accelerated computing clusters in every leading cloud.Developers adopting Cosmos can use DGX Cloud for an easy way to deploy Cosmos models, with further support available through the NVIDIA AI Enterprise software platform.Customize and Deploy With NVIDIA CosmosIn addition to foundation models, the Cosmos platform includes a data processing and curation pipeline powered by NVIDIA NeMo Curator and optimized for NVIDIA data center GPUs.Robotics and AV developers collect millions or billions of hours of real-world recorded video, resulting in petabytes of data. Cosmos enables developers to process 20 million hours of data in just 40 days on NVIDIA Hopper GPUs, or as little as 14 days on NVIDIA Blackwell GPUs. Using unoptimized pipelines running on a CPU system with equivalent power consumption, processing the same amount of data would take over three years.The platform also features a suite of powerful video and image tokenizers that can convert videos into tokens at different video compression ratios for training various transformer models.The Cosmos tokenizers deliver 8x more total compression than state-of-the-art methods and 12x faster processing speed, which offers superior quality and reduced computational costs in both training and inference. Developers can access these tokenizers, available under NVIDIAs open model license, via Hugging Face and GitHub.Developers using Cosmos can also harness model training and fine-tuning capabilities offered by NeMo framework, a GPU-accelerated framework that enables high-throughput AI training.Developing Safe, Responsible AI ModelsNow available to developers under the NVIDIA Open Model License Agreement, Cosmos was developed in line with NVIDIAs trustworthy AI principles, which include nondiscrimination, privacy, safety, security and transparency.The Cosmos platform includes Cosmos Guardrails, a dedicated suite of models that, among other capabilities, mitigates harmful text and image inputs during preprocessing and screens generated videos during postprocessing for safety. Developers can further enhance these guardrails for their custom applications.Cosmos models on the NVIDIA API catalog also feature an inbuilt watermarking system that enables identification of AI-generated sequences.NVIDIA Cosmos was developed by NVIDIA Research. Read the research paper, Cosmos World Foundation Model Platform for Physical AI, for more details on model development and benchmarks. Model cards providing additional information are available on Hugging Face.Learn more about world foundation models in an AI Podcast episode, airing Jan. 7, that features Ming-Yu Liu, vice president of research at NVIDIA.Get started with NVIDIA Cosmos and join NVIDIA at CES. Watch the Cosmos demo and Huangs keynote below:See notice regarding software product information.

GeForce NOW turns any device into a GeForce RTX gaming PC, and is bringing cloud gaming and AAA titles to more devices and regions.Announced today at the CES trade show, gamers will soon be able to play titles from their Steam library at GeForce RTX quality with the launch of a native GeForce NOW app for the Steam Deck. NVIDIA is working to bring cloud gaming to the popular PC gaming handheld device later this year.In collaboration with Apple, Meta and ByteDance, NVIDIA is expanding GeForce NOW cloud gaming to Apple Vision Pro spatial computers, Meta Quest 3 and 3S and Pico virtual- and mixed-reality devices with all the bells and whistles of NVIDIA technologies, including ray tracing and NVIDIA DLSS.In addition, NVIDIA is launching the first GeForce RTX-powered data center in India, making gaming more accessible around the world.Plus, GeForce NOWs extensive library of over 2,100 supported titles is expanding with highly anticipated AAA titles. DOOM: The Dark Ages and Avowed will join the cloud when they launch on PC this year.RTX on DeckThe Steam Decks portability paired with GeForce NOW opens up new possibilities for high-fidelity gaming everywhere. The native GeForce NOW app will offer up to 4K resolution and 60 frames per second with high dynamic range on Valves innovative Steam Deck handheld when connected to a TV, streaming from GeForce RTX-powered gaming rigs in the cloud.Last year, GeForce NOW rolled out a beta installation method that was eagerly welcomed by the gaming community. Later this year, members will be able to download the native GeForce NOW app and install it on Steam Deck.Steam Deck gamers can gain access to all the same benefits as GeForce RTX 4080 GPU owners with a GeForce NOW Ultimate membership, including NVIDIA DLSS 3 technology for the highest frame rates and NVIDIA Reflex for ultra-low latency. Because GeForce NOW streams from an RTX gaming rig in the cloud, the Steam Deck uses less processing power, which extends battery life compared with playing locally.The streaming experience with GeForce NOW looks stunning, whichever way Steam Deck users want to play whether thats in handheld mode for HDR-quality graphics, connected to a monitor for up to 1440p 120 fps HDR or hooked up to a TV for big-screen streaming at up to 4K 60 HDR. GeForce NOW members can take advantage of RTX ON with the Steam Deck for photorealistic gameplay on supported titles, as well as HDR10 and SDR10 when connected to a compatible display for richer, more accurate color gradients.Get ready for major upgrades to streaming on the go when the GeForce NOW app launches on the Steam Deck later this year.Stream Beyond RealityGet immersed in a new dimension of big-screen gaming as GeForce NOW brings AAA titles to life on Apple Vision Pro spatial computers, Meta Quest 3 and 3S and Pico virtual- and mixed-reality headsets. Later this month, these supported devices will give members access to an extensive library of games to stream through GeForce NOW by opening the browser to play.geforcenow.com when the newest app update, version 2.0.70, starts rolling out later this month.Jump into a whole new gaming dimension with GeForce NOW.Members can transform the space around them into a personal gaming theater with GeForce NOW. The streaming experience on these devices will support gamepad-compatible titles for members to play their favorite PC games on a massive virtual screen.For an even more enhanced visual experience, GeForce NOW Ultimate and Performance members using these devices can tap into RTX and DLSS technologies in supported games. Members will be able to step into a world where games come to life on a grand scale, powered by GeForce NOW technologies.Land of a Thousand Lights and GamesNew year, new data center.NVIDIA is broadening cloud gaming in India and Latin America. The first GeForce RTX 4080-powered data center will launch in India in the first half of this year. This follows the launch of GeForce NOW in Japan last year, as well as in Colombia and Chile, to be operated by GeForce NOW Alliance partner Digevo.GeForce RTX-powered gaming in the rapidly growing Indian gaming market will provide the ability to stream AAA games without the latest hardware. Gamers in the region can look forward to the launch of Ultimate memberships, along with all the new games and technological advancements announced at CES.Send in the GamesAAA content from celebrated publishers is coming to the cloud. Avowed from Obsidian Entertainment, known for iconic titles such as Fallout: New Vegas, will join GeForce NOW. The cloud gaming platform will also bring DOOM: The Dark Ages from id Software, the legendary studio behind the DOOM franchise. All will be available at launch on PC this year.Get ready to jump into the Living Lands.Avowed, a first-person fantasy role-playing game, will join the cloud when it launches on PC on Tuesday, Feb. 18. Welcome to the Living Lands, an island full of mysteries and secrets, danger and adventure, choices and consequences and untamed wilderness. Take on the role of an Aedyr Empire envoy tasked with investigating a mysterious plague. Freely combine weapons and magic harness dual-wield wands, pair a sword with a pistol or opt for a more traditional sword-and-shield approach. In-game companions which join the players parties have unique abilities and storylines that can be influenced by gamers choices.Have a hell of a time in the cloud.DOOM: The Dark Ages is the single-player, action first-person shooter prequel to the critically acclaimed DOOM (2016) and DOOM Eternal. Play as the DOOM Slayer, the legendary demon-killing warrior fighting endlessly against Hell. Experience the epic cinematic origin story of the DOOM Slayers rage this year.Get ready to play these titles and more at high performance when they join GeForce NOW at launch. Ultimate members will be able to stream at up to 4K resolution and 120 fps with support for NVIDIA DLSS and Reflex technology, and experience the action even on low-powered devices. Keep an eye out on GFN Thursdays for the latest on their release dates in the cloud.GeForce NOW is making popular devices cloud-gaming-ready while consistently delivering quality titles from top publishers to bring another ultimate year of gaming to members across the globe.See notice regarding software product information.

Hear that awful cacophony of farts, blips, and voice lines from the Mortal Kombat announcer? Thats the sound of 3,683 add-ons running simultaneously in World of Warcraft Classic. YouTuber Baltoboulbobbi brought the MMO to its knees with a bucket of custom tools and effects simply to see what happens. And what happens is a total nightmare.There are so many add-ons in the first minute of Baltoboulbobbis video you cant even see the game world. Its an abomination that makes those spyware browser toolbars from the 2000s look tame. As they try to find WoW underneath all the mess, car horns and visual effects fire off in protest. Their naked Tauren is just standing in the corner of the screen for no reason and I think I saw four separate health bars.Game has become Mahjong, the text in the video says before Baltoboulbobbi gives up and decides to try some combat. After dragging their Lightning Bolt spell to one of the 90 action bar slots covering their screen, they take a shot at an enemy and watch their game buckle. A fart sound effect starts playing on repeat and Im pretty sure I heard someone say Among Us in there just before you can hear Finish him! by the Mortal Kombat announcer (or someone doing an impression). Other than when it bottoms out at zero, their frame rate never exceeds 20 during all of this.The rest of the video is horrific for anyone who has played WoW enough to know what its like to accidentally leave a few add-ons enabled, let alone 3,683. That they were even able to play it without the game crashing is impressive, and according to the video description, it required omitting a handful that would prevent the game from working at all.Normal players usually install a few add-ons to track their healing or damage in a dungeon, or to give Blizzards default UI a facelift. Nobody except Baltoboulbobbi is brave enough to strap thousands of add-ons to their game for the fun of it. Its no surprise its basically unplayable, but that doesnt mean its not fascinating to know that its technically possible to live like this.Baltoboulbobbi wrote in a comment on the video that if it gets 20,000 views they will attempt to level a character from one to 60 on a perma-death Hardcore server with all the add-on enabled. The video is currently at over 100,000 views.