Ford said on Wednesday it would bring Level 3 driver-assistance systems to market in 2028, allowing drivers to take their ...

The study highlights that autonomous vehicle infrastructure presents a large and complex attack surface. Vehicles now contain ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

At CES 2026, Neolix is debuting its next-generation AI-powered autonomous logistics solution, a dual-engine architecture designed to optimize massive autonomous fleets. This solution integrates two ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...

NVIDIA is the first to release an open reasoning VLA model designed to tackle long-tail autonomous driving challenges; NVIDIA ...

Abstract: This paper explores the application of Iterative Learning Control (ILC) in enhancing lateral tracking of autonomous vehicles. A kinematic bicycle model ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

NVIDIA is attempting to solve the “black box” problem of self-driving cars by open-sourcing the cognitive architecture behind them. At the NeurIPS conference today, the company released Alpamayo-R1, a ...