Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Explore the concept of First Come First Served (FCFS) in cryptocurrency, its role in token sales and NFT drops ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Nature Health, the newest journal in the Nature Portfolio, aims to bridge the ‘implementation gap’ from research to policy ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

As the value of digital assets continues to grow, so too does the risk landscape. Threat research and attack labs are working ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.