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

Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques

Abstract: The integration of deep learning in healthcare has propelled advancements in diagnostics and decision support. However, the inherent opacity of deep neural networks (DNNs) poses challenges ...
GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
GitHub

6G OAM THz Dataset

The 6G OAM THz Dataset presents the first comprehensive, physics-based repository specifically designed for Orbital Angular Momentum (OAM) beam communications in sub-Terahertz frequencies (300-600 GHz ...
The Lancet

A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy

aDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA ...
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 ...