The Institute for the Advancement of Food & Nutrition Science publishes a list of general principles it hopes will inform any ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

Software offered more efficient processing of orders, nesting, machine programming, and scheduling, and the automation made ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

National legislation on data localisation in the processing of personal data is increasing worldwide. Multinational companies ...

The AI disruptions of the past few years have only been the prologue to what's coming in 2026: AI’s full integration into ...

As the move to physical AI speeds up, how do you make sure these capabilities become broadly accessible and not limited to ...

Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

The funding will focus on three key areas: fundamental AI, applied AI and talent development. Read more at straitstimes.com.

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...