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 ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

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

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

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

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

“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 ...

A witty personal essay on brainrot detox, self-help apps, philosophy, procrastination, and finding sanity in a doomscrolling ...

The technology company deployed its AIOS platform to enable artificial intelligence agents across diverse hardware, from home automation systems to cameras and robotics applications.

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

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