See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Abstract: Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for decision-making often ...

Abstract: Ensuring safe and human-like decision-making is a critical component of autonomous vehicle decision systems. However, conventional approaches often simplify the action space into discrete ...

I’ve put over 200 km (125 miles) on Tesla’s latest ‘Full Self-Driving Supervised’ (FSD) v14 update, and I’ve gathered my thoughts in this article. In short, Tesla FSD v14 is an incremental improvement ...

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...

Light, compact, and easy to handle. These are the attributes that make the long BMW 3 Series story short. However, after 50 years on the market, "The Ultimate Driving Machine," as the German automaker ...

(Bloomberg/Ed Ludlow) — Rivian Automotive Inc. has developed its own artificial intelligence chip, replacing Nvidia Corp. technology as part of a broader push to add and enhance automated-driving ...

Forbes contributors publish independent expert analyses and insights. Charles writes about organisational changes required to scale & AI. Writing predictions for the future is a fool’s game. So, I am ...

While there are no autonomous vehicles available for sale in the United States, Detroit automakers have been advancing their assistance systems for years. Though the challenges and setbacks have been ...

Autonomous systems are transforming industries, but effective HMI design is essential for safety and usability. Modern controls include touchscreens, wireless links and tactile interfaces, requiring ...