The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

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

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Federated learning is a distributed learning framework that allows multiple computing nodes to collaboratively train deep learning models without accessing each other's data. Under this framework, ...

At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session " Predicting the Future using Azure Machine Learning, ...