Putting a human in the loop often refers to an artificial intelligence (AI), such as a target acquirer, that requires human authorization to proceed (as in, pull the trigger). However, in learning ...

When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers.

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

The world's leading mathematicians were stunned by how adept artificial intelligence is at doing their jobs.

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Abstract: This brief investigates the distributed unconstrained optimization problem, where its global objective function consists of the sum of N local objective functions. The aim for this brief is ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

The University of Washington's Allen School is rethinking how to train the next generation of software engineers in an ...

The Tardy/Lost (TL) penalties scheduling is a discrete optimization problem. TL scheduling problem is an NP-hard problem. As a result, proposing an optimization algorithm to handle this problem is ...

The world of quantum computing is moving fast. It’s a really exciting area where new ideas are popping up all the time. This ...