The University of Washington’s Allen School is tackling six “grand challenges” in computer science — from AI and education to ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Researchers have developed a new type of artificial neuron that physically emulates the electrochemical processes of biological brain cells. This innovation, which relies on the movement of atoms ...

There is no AI literacy without computer science education. If we want students to shape a world transformed by AI, we must ...

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.