In addition to the semiconductor company’s CV25 AI system-on-chip in LG’s latest driver-monitoring system, the company will show two firsts—an automotive passenger-vehicle and fleet-focused vision language model and an updated Oculii centralized radar using a production CV3 AI domain control SoC.
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The Texas-based electric-boat startup’s first model, the 40-ft Ventus First-Generation, is the first in a model line with a focus on advanced technology and sustainability—and an AI assistant meant to revolutionize safety, diagnostics, and user interactions for a better boating experience.
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Ai.rplane is a publicly accessible reference application built on the startup’s LGM-Aero, the first large geometry model trained on AWS cloud compute on data including high-fidelity physics generated with Siemens aimed at generating novel aircraft designs and predicting physics of aircraft performance.
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At the SC24 high-performance-computing conference today, Nvidia with partners announced Omniverse Blueprint for real-time physics digital twins for CFD and wind tunnel simulation, Alchemi NIM for sustainable materials research on EV batteries, and migrating to new Grace architectures.
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At its Snapdragon Summit today, the company revealed its Oryon CPU-based platform that’s three times faster with up to twelve times stronger AI performance for enhanced safety and in-vehicle experiences compared to the previous generation, with Li Auto, Mercedes-Benz, and Google announced as first customers.
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The autonomous middle-mile logistics leader has engaged Edge Case Research to support development and safety engineering and TÜV SÜD to perform comprehensive third-party safety assessment services.
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The Level 4 autonomous driving domain controller, to be used in WeRide’s robobus, incorporates FP4 and FP8 AI inference, resulting in a fivefold increase in the inference speed of transformer models, computing power of 2100 TOPS, and functional safety levels up to ISO 26262 ASIL-D.
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The Arc Graphics for Automotive is meant to address the growing demand for compute power, unlocking AI-driven cockpit experiences and enhanced personalization for manufacturers and drivers, with commercial deployment in vehicles as soon as 2025.
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For the winning entry showcased at the Computer Vision and Pattern Recognition conference running this week in Seattle, Nvidia used its Hydra-MDP to ingest vehicle trajectory history and camera and lidar data at a reduced frame rate and generate the optimal vehicle path as an output in a simplified end-to-end architecture said to optimize pipelines with less code and better performance.
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The first-of-its-kind collaboration in the automotive industry on a production fleet for Fortescue’s Elysia software is designed to enhance battery longevity, safety, and overall performance across JLR’s portfolio of luxury EVs debuts on Range Rover Electric launching later this year.
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