A team of researchers from MIT, working with collaborators including NVidia, says it has found a surprisingly practical way to reclaim wasted compute during training — in some cases cutting overall ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

Animals don't just see the world differently from one another, they experience time itself at dramatically different speeds.

Explore advanced mathematical techniques with Mathematical Methods Spherical Coordinates Integrals and Computational Python. This video dives into spherical coordinate systems, integral calculus in ...

If you prefer a managed hosted solution check out tadata.com. FastAPI-MCP is designed as a native extension of FastAPI, not just a converter that generates MCP tools from your API. This approach ...

Abstract: Federated Learning (FL), a groundbreaking approach for collaborative model training across decentralized devices, maintains data privacy while constructing a decent global machine learning ...

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

The combination of YOLOv12 and BoT-SORT demonstrates strong object detection and tracking potential yet remains underexplored in current literature and implementations. [1] Jocher, Glenn, et al.