A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

A new machine learning workflow helps decode low-loss EELS data, turning noisy nanoscale spectra into spatial maps of the optical resonances that shape next-generation hybrid nanophotonic materials.

MachineQ’s Lab of the Future survey found IoT and artificial intelligence/machine learning (AI/ML) as emerging as key technologies, with 29 percent and 28 percent of respondents currently using them ...