Foundational machine learning models are typically large — trained using unlabeled data at scale, to further be adapted to a wide spectrum of specific tasks.

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

The free app aims to make machine learning easier for people to use and helps them train models without writing code.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

MIT researchers claim to have developed a machine-learning technique that can help AI models learn and improve on smaller edge devices.

Predicting the emergent properties of a material from a microscopic description is a scientific challenge. Machine learning and reverse-engineering have opened new paradigms in the understanding and ...