To support a growing number of machine learning workloads in the cloud, Google has rolled out special-purpose microprocessors as part of its Compute Engine platform. The move was one of many recent ...

Engineering economical and scalable processes for direct air capture (DAC) from humid air relies on atomistic modeling to search and identify promising sorbent materials from a va ...

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...

The integration of machine learning into proteomics has fundamentally shifted how researchers approach the analysis of complex biological systems. As mass spectrometry (MS) and other high-throughput ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

AI investment is soaring, as businesses across all industries seek to harness the technology's power to transform their operations, products, services and user experiences. Many of those dollars are ...

A systematic review of 35 studies demonstrates that machine learning models analyzing structured clinical, imaging, and ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...