New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Momentic raises the bar for software testing with agentic quality platform

Artificial intelligence-powered software testing and quality assurance platform Momentic Inc. today announced a major update ...
News-Medical.Net

What Are Brain-Computer Interfaces and How Do They Treat Neurological Disorders?

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...

Komprise aims to make messy, unstructured data accessible without the hassle

Big data management startup Komprise Inc. said today it’s introducing a major update to its platform with the launch of ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Nature

Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable models

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Opinion

Getty Images Enters Deal With OpenAI, Raising Questions On Training

The OpenAI deal turns ChatGPT into a storefront for licensed photographs. Its silence on training is what Getty's 600,000 contributors should read first.
bjo.bmj

Drusen volume and reticular pseudodrusen volume from optical coherence tomography with deep learning as risk factors for progression to late age-related macular degeneration in ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...