The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

AI’s future will be defined not by parameter counts, but by the integrity of the data that sustains it. Failures in ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

The forensic process is moving away from tangible, observable evidence toward what he calls “invisible evidence”, ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.

AMD’s flagship Instinct MI350 chips, developed on the CDNA 4 architecture, aim to deliver up to four times more AI compute along with 35 times faster inference compared to their predecessors.

In Alibaba, itself an AI pioneer, they are up against a tech heavyweight. The China-based retailer’s open source large ...