Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Many organizations struggle to unlock the full potential of their people, often hindered by outdated management models ...

Blizzards are a real-life example of what game theorists call the “snowdrift problem,” a cousin of the prisoner’s dilemma ...

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: ...

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.

Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new ...

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

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

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

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...