Experts say that computer science could look a lot different under the new administration.

Gary Marcus discusses, among other things, why he thinks Large Language Models have entered a “period of diminishing returns.”

The better we align AI models with our values, the easier we may make it to realign them with opposing values.

The training of artificial intelligence requires what one expert called “Hoover Dams of power.”

Fan Wang and Shaoshan Liu provide guidance for the development of embodied AI systems.

Blending traditional methods and technological advancements.

With applications including drug delivery, advanced diagnosis, and patient monitoring, molecular communications in the bloodstream is a promising area of research.

An experiment in artificial intelligence results in an everlasting discovery.

From engines of logic to engines of bullshit?

Large language models may be used to do a lot of the planning that robots require, from within the robot.

There is burgeoning interest in designing AI-based systems to assist humans in designing computing systems, including tools that automatically generate computer code. The most notable of these comes in the form of the first self-described “AI pair ...

Why do large language models hallucinate?

Copyright and patent protections around generative AI are chaotic and changing rapidly.

Science represents an amazingly exciting frontier for AI, and AI represents the most exciting new instruments in the hands of scientists.

A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.

A pioneer in human-robot interaction for socially assistive robotics, Maja Matarić discusses her career, her inspirations, and the surprising things that happen when humans and robots interact.

The “meta-optics” camera is 500,000 times smaller than comparable imaging devices.