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 ...

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 ...

AUSTIN, Texas and TOKYO, Jan. 13, 2026 /PRNewswire/ -- According to DataM Intelligence, the global Autonomous Data Platform Market reached USD 2.09 billion in 2024 and is projected to surge to USD ...

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 ...

India’s autonomous future will not arrive overnight, and it will not look like anyone else’s. But step by step, through ...

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

OpenAI scientists have designed MLE-bench — a compilation of 75 extremely difficult tests that can assess whether a future advanced AI agent is capable of modifying its own code and improving itself.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Caterpillar announced expanded use of autonomous technology across excavators, dozers, trucks and other construction ...

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...