When it comes to deploying machine learning (ML) models in the enterprise, optimization and acceleration – that is, deploying better and faster – are the keys to cost and time savings. But ...

The main challenges of using machine learning on microcontrollers are the constraints in computing power available and cost-related requirements that come with microcontroller-based designs, as he ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan.

High-performance, low-cost machine learning infrastructure is accelerating innovation in the cloud Cloud machine learning technologies, like AWS Inferentia, are accelerating organizations’ AI ...

Cost optimization of the cloud is an obvious target for applying machine learning; there is no shortage of cloud customers seeking to get their bills under control.

Low-cost machine learning framework for snail trail detection in PV panels Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a ...

SUNNYVALE, Calif. & TOKYO, July 22, 2025--NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), researchers presented twelve papers at the forty-second International Conference on Machine ...

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and ...