Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about the advanced science running behind the scenes of any artificial intelligence ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Scientists developed memristors for data storage out of common mushrooms, taking a major step forward in organic computing.

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves significant performance improvements while establishing robust ...

Acquisition brings together applied artificial intelligence, agnostic solver orchestration, high performance (HPC) and quantum computing to address businesses' most complex challenges faster, smarter, ...

Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

Varanasi: The three-day Indo-French seminar on ‘Recent Developments in Non-linear Optimization Problems and Applications and ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...