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

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 ...

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

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

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

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

“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 ...

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

The EMA validation of T-DXd with pertuzumab could change the standard of care for HER2-positive metastatic breast cancer in ...

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

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