In another development, Prof Samarth Patwardhan and his PhD student Dr Soumitra Nande developed a deep learning model capable ...

Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...

This Research Topic is Volume II of a series. The previous volumes can be found here: Natural Disaster Prediction Based on Experimental and Numerical ...

But the story that matters here is not about one company's disclosure failure. It is about why Cursor — and likely many other ...

CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures ...

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 ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by ...

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

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

A new technical paper, “Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios,” was ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...