Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Researchers used IBM’s quantum computers to create scalable quantum circuits that simulate matter under extreme conditions, offering new insight into fundamental forces and the origins of the universe ...

Joshua Blumenstock is a Chancellor’s Associate Professor at the School of Information at UC Berkeley. Emily Aiken is a PhD ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...