Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden structures ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

New research could signal a step change in the quest to design the new materials that are needed to meet the challenge of net zero and a sustainable future. Researchers have shown that a mathematical ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Computers fail at even simple math more often than many of us realize and that flaw is rooted in the architecture of the machines themselves. Using machine learning, Google might have discovered a way ...