Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

In an era where AI systems are rapidly scaling beyond the limits of traditional silicon, new experimental companies are ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

A paddle-wielding robot is so adept at playing table tennis that it is posing a tough challenge to elite human players and ...

Perplexity today launched Personal Computer, an expansion of Perplexity Computer that integrates with local files and apps on ...

A team developing light-sensitive cancer drugs has won a US$2-million Quantum for Bio (Q4Bio) prize for demonstrating a ...

The world's most powerful supercomputer isn't just incredibly capable, it's also the largest one in the U.S. — at least, if ...

Google's got two new chips to build AI models and updates to the tech stacks businesses use to run AI. Katelyn is a reporter ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...