Eager to pursue a doctorate after she graduates from Northwestern next year with a double major in computer science and ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

A cluster of rat neurons, grown on a chip in a Japanese laboratory, just learned to generate a sine wave on command. Across ...

Abstract: Optimal Transport (OT) theory has seen increasing attention from the computer science community due to its potency and relevance in modeling and machine learning (ML). OT provides powerful ...

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own, but experts ...

Experts in AI and technology want to maximize the impact of their work. To do so, they must weigh the merits of two paths: pursuing research in academia, or moving to industry.

Princeton researchers have combined brain cells and advanced electronics into a single 3D device that can be programmed to ...

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...