Eye for trouble: Automated counting for chromosome issues under the microscope

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Nature

AIs are biased toward some Indian castes — how can researchers fix this?

Benchmarks reveal how artificial-intelligence systems reinforce discriminatory social hierarchies.
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
Fierce Healthcare

JPM26: Anthropic launches Claude for Healthcare to turbocharge AI efficiency at health systems, payers

Anthropic is pushing into the healthcare market as it launches artificial intelligence tools and resources purpose-built for ...
GitHub

Tree-Shu-Zhao/ITQ_PyTorch

usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--topk TOPK] [--gpu GPU] ITQ_PyTorch optional arguments: -h ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

EQCNN: Enhanced Remote Sensing Imagery Classification with Circuit-Based Error-Corrected Quantum Convolutional Neural Networks

Abstract: Quantum information processing is more complex than classical counterpart because of the No-Cloning theorem, decoherence, and issues detecting quantum ...
News-Medical.Net

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...