The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...

Researchers working on text-to-image AI have introduced a pair of techniques that could bring high-quality image generation out of the cloud and onto smartphones. SANA-Sprint, a one-step diffusion ...

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have built a generative AI model that reconstructs the three-dimensional geometry of molecules from the scattered ion ...

Introduction Climate-sensitive mortality in rapidly urbanising tropical Africa is poorly characterised, and how pandemics disrupt established seasonal patterns remains underexplored. We analysed ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

New data hub will accelerate development and adoption of human-based New Approach Methodologies The NYU Langone-Sage ...

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Abstract: In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. Identifying the precise regions in ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Abstract: Data mining classification techniques become increasingly relevant because it is sensible to bring meaningful patterns out from very large data sets; however, cross-comparison and comparison ...