Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...

It’s a breakthrough in the field of random walks.

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...