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Scaling vision: How AI is advancing image intelligence from smartphones to self-driving cars
From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a ...
A new planning method called KEPT lets self-driving cars compare what they are seeing now with similar past traffic situation ...
The MarketWatch News Department was not involved in the creation of this content. SAN JOSE, Calif., March 17, 2026 /PRNewswire/ -- At NVIDIA GTC 2026, DeepRoute.ai presented a comprehensive ...
In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction, which predicts the ...
A self-driving car moves through traffic one moment at a time. A bus blocks part of the road. Rain throws reflections across ...
This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by ...
The shift to VLA 2.0 marks a major advancement in AI-driven driving. Unlike traditional models that use a vision-language-action pipeline, VLA 2.0 adopts an end-to-end vision-to-a ...
NVIDIA’s push toward vision-only, scalable self-driving systems lowers cost and complexity for automakers, making it easier for OEMs and mobility platforms to adopt autonomous capabilities across ...
Scoble, who is a longtime Apple and Tesla enthusiast, repeatedly stressed that he is not actually seeing physical reality.
Through its presentation at GTC 2026, DeepRoute.ai demonstrated how its 40B Vision-Language-Action Foundation Model architecture is accelerating the path to scalable, safe autonomous driving through ...
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