Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Data has become one of the most valuable assets a company can own. Without data, AI systems would lack the foundation needed ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science.

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

KEY TAKEAWAYS • Different types of AI models power rigorous applications, each tailored to specific tasks. Common types of AI models include machine learning, deep learning, natural language ...

To apply their model, the team examined data from two studies about very different ecosystems. One study looked at historical trends in Lake Zurich, where plankton populations fluctuate based on ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.