The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Google has announced an experimental project in conjunction with Germany's Zalando that will enable users to create virtual 3D fashion designs. Founded out of Berlin in 2008, Zalando is a Zappos-style ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...