AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
There are more than 340,000 wind turbines now spinning across the world, as countries increasingly invest in renewable energy to tackle climate change. Keeping those turbines running smoothly requires ...
A fully automated 3D tracking framework reveals that sex and familiarity strongly shape natural social gaze dynamics in freely interacting marmosets.
Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...
12don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results