Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Poor quality, unusable data is a burden for those at the end of the data’s journey. These are the data users who use it to build models and contribute to other profit-generating activities.

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Over the last few years, the rapid development of artificial intelligence has taken the world by storm as many experts believe machine learning technology will fundamentally alter the way of life ...

Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Scientists have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Anything World's software is also being pitched as a professional game development tool. Ubisoft already uses it for prototyping, and Midwood says it's also helpful for quickly rigging 3D models ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.