AI and machine learning networks built on decentralized infrastructure could allow the onboarding of significant hardware resources worldwide.

Beginning in 2017, customers of Google Cloud Machine Learning and Google Compute Engine will be able to use graphics processing units (GPUs), which are specialized processors capable of handling ...

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

Yonatan Cohen, the co-founder and CTO of Quantum Machines, noted how his company has long sought to use general classical compute engines to control quantum processors.

Many design teams today are wrestling with how to best implement the most energy efficient machine learning compute engine to run today’s – and tomorrow's – generative AI models.

These Cloud TPUs, available to companies via Google Compute Engine, support larger amounts of machine learning compared to their first-generation counterparts launched at Google’s annual ...

His research interests span several topics, including macroeconomics, computational economics, climate change economics, and machine learning. Simon will be discussing the paper Using Machine Learning ...