By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings. The findings will be presented on Monday, November ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...