Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

AI agents are machine learning models (e.g. Claude Opus 4.6) that have access to other software through a CLI harness (e.g.

Alphabet's TPU program sets an internal cost floor independent of Nvidia’s pricing power. Click here to read an analysis of GOOG stock now.

Abstract: Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciprocal of ...

Ever dreamt of solving math problems in your head with the speed of a calculator? Mental math might seem challenging, but it's a skill attainable through the right tools and techniques. The abacus, an ...

Gene regulatory networks (GRNs) play a crucial role in the control of cellular functions. Numerous methods have been developed to infer GRNs from gene expression data, including mechanism-based ...

How Mansa Musa’s 14th-century caravan of 60,000 people was provisioned through Sahelian grain ecologies, relay-storehouse nodes, Taghaza salt logistic ...

Recent advancements in LLMs such as OpenAI-o1, DeepSeek-R1, and Kimi-1.5 have significantly improved their performance on complex mathematical reasoning tasks. Reinforcement Learning with Verifiable ...