What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

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

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 ...

In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

New spin on speculative decoding works with any model - now built into Transformers We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann Institute of ...

BACKGROUND: Vascular aging is an important phenotype characterized by structural and geometric remodeling. Some individuals exhibit supernormal vascular aging, associated with improved cardiovascular ...

Scientists observe CP violation in baryons, a key clue in understanding why matter dominates the universe over antimatter.

AI is no longer just a tool for automation — it's becoming the quiet architecture behind how modern businesses work.

This paper presents a fast phased array calibration method based on machine learning. The machine learning algorithm is constructed to model and predict the phase of the unmeasured array elements, ...