An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

Mokdong Complex 10 owners debate reconstruction method amid trust voting controversy Mokdong Complex 10 owners consider switching to a joint venture for reconstruction projects amidst trust ...

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

Genetic changes can signal evidence of disease, but pinpointing which genes and what's changed can be difficult.

Cognichip’s approach is to develop a physics-informed foundation model that achieves more parallelism than is available in ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

Dot Com (plex), Bot Simplex: How AI is Rewriting the Media Mix The media mix of the near future will be shaped less by frequency and reach, and more by signals, context, and influence.

KAIST (President Kwang Hyung Lee) announced on the 20th that a research team led by Professor Sungjin Ahn in the School of Computing has developed a new technology that significantly improves the ...

Sakana AI released an open-source algorithm on Tuesday, which allows multiple artificial intelligence (AI) models to collaborate on complex problems.

This paper presents a descent algorithm for the continuous convex piecewise linear network flow problem (CCPWLNFP). The CCPWLNFP can be reformulated as a linear programming problem and directly solved ...

Considering mixed traffic flow with complex road conditions characterized by variable curvature, this paper proposes a scenario-specific connected and automated vehicles (CAVs) platoon formation ...