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

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

The MIT xPRO Driving Innovation with Generative AI program prepares students for industry employment through its practical ...

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

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...