AlgSP achieved the best possible results out of five of the six datasets. The algorithm also proved to be among the fastest in community detection. The research has the potential to greatly enhance ...

Researchers develop biomarker algorithm for noninvasive detection of Barrett's esophagus and esophageal cancer. ScienceDaily . Retrieved May 30, 2025 from www.sciencedaily.com / releases / 2025 ...

Engineers develop novel techniques to trick object detection systems. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 04 / 190404143717.htm ...

Researchers from the University of Toronto and LG AI Research have developed an “explainable” artificial intelligence (XAI) algorithm that can help identify and eliminate defects in display screens.

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

Anumana and AliveCor to co-develop AI algorithms for cardiac disease detection Anumana's ECG-AI LEF algorithm uses routine 12-lead ECG data to identify left ventricular ejection fraction. Credit ...

A successful system could net the developer a cash prize — there’s $25,000 available for first place. The competition will run in two phases — in the first, the participants run their algorithms on ...

Researchers at Washington State University (WSU) in the US have developed an algorithm tailored to improve the accuracy of wearable health devices. The algorithm claims to compensate for missing ...

We built our work around the state-of-the-art Xception detection algorithm, which is a widely used foundation for deepfake detection systems and can detect deepfakes with an accuracy of 91.5%.