MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
This repository contains the full codebase developed at Helmholtz Munich for the CytoDiff project. The goal is to improve white blood cell image classification by augmenting real-world datasets with ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
If you want to work with the comparison outside NotebookLM, you can export any data table straight to Google Sheets. Just ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...
Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...
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