Chinese researchers tested whether monitoring passengers' brain activity could help self-driving systems make safer decisions in risky situations.
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...
Major brands like Mercedes and Lucid are adopting NVIDIA's Alpamayo, giving engineers shared tools and data to cut costs & ...
Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...
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Dubai, UAE, January 5, 2026-- Carziqo, a smart mobility technology company, announced continued advancements in its autonomous driving platform through a large-scale, real-world data learning system ...
Request To Download Free Sample of This Strategic Report @- The global reinforcement learning market is experiencing a period of rapid growth, with revenue estimated to increase from approximately $3 ...
At the 2026 Consumer Electronics Show, Afari and Geely jointly announced the global launch of G-ASD (Geely Afari Smart ...
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