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 ...

AI deep denoiser can remove clouds from satellite images

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort ...
University of Minnesota Twin Cities

How researchers are using AI and satellite data to address global challenges

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.
Scientific American

‘An AlphaFold 4’—scientists marvel at DeepMind drug spin-off’s exclusive new AI

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results ...
GitHub

eric-vo/mathworks-noise-suppression

data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...
Frontiers

CNNeoPP: a large language model-enhanced deep learning pipeline for personalized neoantigen prediction and liquid biopsy applications

Neoantigens have emerged as promising targets for personalized cancer immunotherapy. However, accurate identification of immunogenic neoantigens remains a challenge due to limitations in existing ...
blockchain

Grok Imagine Launches AI-Powered Future Family Visualization Tool: Transforming Personalized Experiences

This innovation leverages deep learning to generate realistic family member images based on user input, offering practical applications in personalized digital experiences, virtual storytelling, and ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
IEEE

3D Visualization System of Breast Magnetic Resonance Images Based on Deep Learning and Volume Rendering

Abstract: Compared to natural images, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) exhibits lower spatial resolution, reduced contrast sensitivity, and limited detail visibility, ...
The Conversation

The ‘one chatbot per child’ model for AI in classrooms conflicts with what research shows: Learning is a social process

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...