Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

Predictive artificial intelligence (AI) hiring systems (AHSs) are used by employers every day to screen and shortlist job candidates. But while AI hiring systems promise time and cost savings for ...

When employees at Meta started developing their flagship AI model, Llama 3, they faced a simple ethical question. The program would need to be trained on a huge amount of high-quality writing to be ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

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