The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

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 ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

What if the toughest problems humanity faces—those that stump our brightest minds and stretch the limits of human ingenuity—could be tackled by a single, purpose-built system? Enter Gemini Deep Think, ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

Google DeepMind’s AlphaProof and AlphaGeometry 2 are milestones for AI reasoning. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox ...