Impulse AI is building an autonomous machine learning engineer that turns data into production models from a simple prompt.

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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 ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

The AV sector is expanding due to a number of causes. First off, vehicles are becoming smarter and safer due to improvements in AI and machine learning. In order to speed up development, governments ...

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 ...

In recent years, the rapid advancement of machine learning (ML) has led to their early integration into safety-critical systems. As noted in Chapter 2, these technologies offer significant potential ...