Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

Anthropic accuses Chinese AI labs of attacking, stealing its data

Anthropic claims Chinese AI labs ran large-scale Claude distillation attacks to steal data and bypass safeguards.

Guide Labs debuts a new kind of interpretable LLM

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
IEEE

Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey

Abstract: Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, ...