People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

None ...

The City University of New York offers more than 800 Master’s and Doctoral degree programs and 200 Graduate Certificate programs in over 150 fields. There is a CUNY graduate pro ...

I read all 68 pages of the patent behind Ben Affleck’s stealth AI start-up that Netflix just bought in order to understand ...

From John von Neumann’s universal machine to John Nash’s insight into computation, this video explores how computer scientists began measuring problems by the number of steps a machine must take as ...

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing ...

Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...

The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.