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 ...

While electrification and software-defined vehicles dominate public discussion about cars, AI is the invisible layer binding ...

The latest video features a series of loops, which grow larger as they're completed. What does it take for a Lego car to ...

"Machine learning algorithms enable vehicles to 'learn' from real-world conditions and evolve," says Dr. Rohit Ugle, a visionary Technical Specialist who champions new technological tools to improve ...

Tata-owned Jaguar Land Rover says it has developed – with the help of the latest artificial intelligence technologies – a “self-learning vehicle” that can offer a “completely personalised driving ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...

Why vehicle interiors are an extremely challenging acoustic environment. How Dirac uses data measurements to determine each car’s unique “acoustic fingerprint.” What is a “super speaker” and how does ...

Physical AI (PAI) in autonomous and electric vehicles (EVs) involves systems that perceive the environment, make intelligent decisions, and execute appropriate actions in real-time, bridging the gap ...