A decentralized tabular reinforcement learning framework optimizes ultra-dense small cell networks by coordinating power, ...

A team of physicists and computer scientists led by researchers at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory developed a new artificial intelligence (AI) approach that ...

The planet already grows enough food to feed everyone. The problem is one of logistics. A third of all the food grown and ...

Reading through the chapter on sorting algorithms in Kiyoshi Ishihata's "Algorithms and Data Structures" brings a certain ...

A dual-track comparative evaluation reveals that classical machine learning achieves superior accuracy on structured clinical ...

New research demonstrates a learning advantage using Shallow Quantum Circuits, addressing a core challenge in near-term quantum computing.

The use of algorithms to design structures has led to new parts optimized for ultralight aircraft, high-bandwidth antennas and F1 racing cars. But the best algorithmic design techniques still require ...

Until now, explorations into applying quantum computing to medical imaging remained largely theoretical calculations; ...

Ars Technica: The rapid rise of AI in mathematics has alarmed many in the field, particularly in light of OpenAI’s release ...

Artificial intelligence is changing the way children learn, play and interact with the world around them.