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 ...

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, ...
Frontiers

Nonlinear dynamics and multiscale mechanisms of deep brain stimulation

Deep brain stimulation (DBS) is an established treatment for movement disorders and an expanding therapy for several neuropsychiatric conditions, yet its mechanisms of action remain incompletely ...
IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...