Latest news with #Foretellix
Forbes
21-05-2025
- Automotive
- Forbes
Foretellix Unveils New AI Platform To Accelerate Autonomous Vehicles
Synthetic traffic scenarios can be created in realistic detail so that a comprehensive driving ... More environment is presented to an Autonomous Driving system. Foretellix, a provider of data-automation for AI-powered autonomy, today announced a significant expansion of its Foretify platform, which the company says will enable Autonomous Vehicle (AV) developers 'to slash development time in half and save hundreds of millions of dollars.' Foretellix views the emergence of the physical AI frontier presenting AV developers with opportunities for significant industry advances beyond the manual, rule-based software predominantly deployed for assisted driving capabilities. The company emphasizes that AV developers need a way to train the AI engines by maximizing the value of their existing drive data and enhancing it with hyper-realistic synthetic data. However, they also face serious challenges in preparing for the unpredictability of the technology. The need to validate that the AV stack is inherently safe in any possible scenario is vital for autonomy to be successfully launched on public roads. Foretellix developed its Foretify data automation toolchain to train AI-powered AV stacks by automatically curating training data from the real-world driven miles and augmenting them with generated synthetic scenarios. The toolchain also provides diverse sensor simulation data enhanced with hyper-realistic variations generated by NVIDIA Omniverse and Cosmos. The AI-powered AV stack is validated by generating massive amounts of realistic synthetic data, increasing efficiency in reaching an optimal level of operational safety in a particular Operational Design Domain by tenfold, the company says. Furthermore, Foretify evaluates the real-world and simulation data coverage and provides evidence for the system safety case. Backed by leading investors including Toyota's Woven Capital, Temasek, Volvo and NVIDIA, Foretellix was founded by pioneers of data-driven verification and validation tools for complex systems. The founding team's work across coverage-driven methodologies, verification, and validation at Verisity, Intel, and Cadence Design Systems is now widely used in the semiconductor industry and formed the basis of Foretify. Foretellix customers include Daimler Truck subsidiary Torc, Volvo, Mazda, Woven by Toyota, and Nuro. 'Physical AI creates a fast lane to autonomy that will ultimately improve our quality of life and help save millions of lives, but making it a reality requires an intelligent, data-driven approach to address AI's inherent limitations,' said Ziv Binyamini, CEO and Co-Founder of Foretellix. 'Training, validating and providing evidence of autonomous systems' safety are the key drivers for this industry to progress. Foretellix's solution helps foster innovation and reduce the barriers to entry for AV developers, vehicle manufacturers and entrepreneurs, democratizing the road to driverless autonomy.' "Foretellix is a valued partner in our mission to commercialize autonomous trucks by 2027' said Torc CEO Peter Vaughan Schmidt. 'Their Data-Automation Toolchain enables the large-scale simulation and rigorous scenario testing essential to validating our physical AI level-4 autonomous system and ensuring that safety remains at the core of everything we do." "By leveraging NVIDIA Omniverse and NVIDIA Cosmos, the Foretify toolchain can evaluate and generate high-fidelity testing scenarios and training data at scale," said Zvi Greenstein, General Manager, Autonomous Vehicles Infrastructure at NVIDIA. 'Foretellix's data-automation toolchain delivers the training, validation and safety evaluation data required to safely deploy AI-powered autonomy' Foretify recently expanded its simulation capabilities through its integration with the NVIDIA Omniverse Blueprint for Autonomous Vehicle (AV) Simulation and the NVIDIA Cosmos Transfer World Foundation Model. The addition of hyper-realistic sensor simulation to Foretify's behavioral scenario simulation accelerates AI-powered AV training and validation for faster development and deployment. The AI community continues to reach ever more deeply into creating a hyper-realistic synthetic world. This means safety teams at AV developers can throw a vast set of road driving scenarios at their self-driving system. This basic concept has been cooking for close to a decade. With each iteration, complexity and thoroughness seem to be growing by orders of magnitude.
Yahoo
18-03-2025
- Business
- Yahoo
NVIDIA Announces Major Release of Cosmos World Foundation Models and Physical AI Data Tools
NVIDIA Cosmos New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AI Two New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training 1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters SAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing an open and fully customizable reasoning model for physical AI development and giving developers unprecedented control over world generation. NVIDIA is also launching two new blueprints — powered by the NVIDIA Omniverse™ and Cosmos platforms — that provide developers with massive, controllable synthetic data generation engines for post-training robots and autonomous vehicles. Industry leaders including 1X, Agility Robotics, Figure AI, Foretellix, Skild AI and Uber are among the first to adopt Cosmos to generate richer training data for physical AI faster and at scale. 'Just as large language models revolutionized generative and agentic AI, Cosmos world foundation models are a breakthrough for physical AI,' said Jensen Huang, founder and CEO of NVIDIA. 'Cosmos introduces an open and fully customizable reasoning model for physical AI and unlocks opportunities for step-function advances in robotics and the physical industries.' Cosmos Transfer for Synthetic Data GenerationCosmos Transfer WFMs ingest structured video inputs such as segmentation maps, depth maps, lidar scans, pose estimation maps and trajectory maps to generate controllable photoreal video outputs. Cosmos Transfer streamlines perception AI training, transforming 3D simulations or ground truth created in Omniverse into photorealistic videos for large-scale, controllable synthetic data generation. Agility Robotics will be an early adopter of Cosmos Transfer and Omniverse for large-scale synthetic data generation to train its robot models. 'Cosmos offers us an opportunity to scale our photorealistic training data beyond what we can feasibly collect in the real world,' said Pras Velagapudi, chief technology officer of Agility Robotics. 'We're excited to see what new performance we can unlock with the platform, while making the most use of the physics-based simulation data we already have.' The NVIDIA Omniverse Blueprint for autonomous vehicle simulation uses Cosmos Transfer to amplify variations of physically based sensor data. With the blueprint, Foretellix can enhance behavioral scenarios by varying conditions like weather and lighting for diverse driving datasets. Parallel Domain is also using the blueprint to apply similar variation to its sensor simulation. The NVIDIA GR00T Blueprint for synthetic manipulation motion generation combines Omniverse and Cosmos Transfer to generate diverse datasets at scale, benefiting from OpenUSD-powered simulations and reducing data collection and augmentation time from days to hours. Cosmos Predict for Intelligent World GenerationAnnounced at the CES trade show in January, Cosmos Predict WFMs generate virtual world states from multimodal inputs like text, images and video. New Cosmos Predict models will enable multi-frame generation, predicting intermediate actions or motion trajectories when given start and end input images. Purpose-built for post-training, these models can be customized using NVIDIA's openly available physical AI dataset. With the inference compute power of NVIDIA Grace Blackwell NVL72 systems and their large NVIDIA NVLink™ domain, developers can achieve real-time world generation. 1X is using Cosmos Predict and Cosmos Transfer to train its new humanoid robot NEO Gamma. Robot brain developer Skild AI is tapping into Cosmos Transfer to augment synthetic datasets for its robots. Plus, Nexar and Oxa are using Cosmos Predict to advance their autonomous driving systems. Multimodal Reasoning for Physical AI Cosmos Reason is an open, fully customizable WFM with spatiotemporal awareness that uses chain-of-thought reasoning to understand video data and predict the outcomes of interactions — such as a person stepping into a crosswalk or a box falling from a shelf — in natural language. Developers can use Cosmos Reason to improve physical AI data annotation and curation, enhance existing world foundation models or create new vision language action models. They can also post-train it to build high-level planners to tell the physical AI what it needs to do to complete a task. Accelerating Data Curation and Post-Training for Physical AIBased on their downstream task, developers can post-train Cosmos WFMs using native PyTorch scripts or the NVIDIA NeMo™ framework on NVIDIA DGX™ Cloud. Cosmos developers can also use NVIDIA NeMo Curator on DGX Cloud for accelerated data processing and curation. Linker Vision and Milestone Systems are using it for curating large amounts of video data to train large vision language models for visual agents built on the NVIDIA AI Blueprint for video search and summarization. Virtual Incision is exploring it to be deployed in future surgical robots, while Uber and Waabi are advancing autonomous vehicles development. Driving Responsible AI and Content TransparencyIn line with NVIDIA's trustworthy AI principles, NVIDIA enforces open guardrails across all Cosmos WFMs. In addition, NVIDIA is collaborating with Google DeepMind to integrate SynthID to watermark and help identify AI-generated outputs from the Cosmos WFM NVIDIA NIM™ microservice featured on AvailabilityCosmos WFMs are available for preview in the NVIDIA API catalog and now listed in the Vertex AI Model Garden on Google Cloud. Cosmos Predict and Cosmos Transfer are openly available on Hugging Face and GitHub. Cosmos Reason is available in early access. Learn more by watching the NVIDIA GTC keynote and by registering for Cosmos sessions and training from NVIDIA and industry leaders at the show, including 'An Introduction to Cosmos World Foundation Models' with Ming-Yu Liu, vice president of generative AI research at NVIDIA. About NVIDIANVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact:Paris Fox Corporate CommunicationsNVIDIA Corporation+1-408-242-0035pfox@ Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA's products, services, and technologies; third parties adopting NVIDIA's products and technologies and the benefits and impact thereof; and Cosmos opening opportunities for step-function advances in robotics and the physical industries are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Cosmos, NVIDIA DGX, NVIDIA NeMo, NVIDIA NIM, NVIDIA Omniverse and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at
