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

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 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

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

Interview Kickstart today announced the release of its latest in-depth career guide, "How to Transition from Data Analyst to Data Scientist," a comprehensive roadmap designed to help working data ...

DRDO aims to enhance India's defence capabilities through AI, focusing on unified operations, data standardization, and ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

The Bloomberg Center for Government Excellence will host graduate students from across the country to deploy data science for ...

The future belongs to organizations that fuse exponential technology with exponential human learning grounded in a deep ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...