China's draft standard for classifying and grading AI application security risks was just released. Learn how companies ...

Astronomers have spent three decades cataloguing the stars that supermassive black holes destroy — and for three decades, they have been looking in the wrong places. A paper published Monday in The ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a globally leading technology provider, has delved into the interdisciplinary field of quantum computing and computer vision to carry ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

A satellite-based system using machine learning to detect wildfires across Cyprus 24 hours a day has been presented in Limassol, seeking to give first responders earlier and more reliable warnings of ...

Three AI agents built competing model recommenders, audited one another, and concluded that human judgment was still ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

Qin, B. (2026) Fermi Gamma-Ray Burst Classification Based on a Convolutional Autoencoder. International Journal of Astronomy ...

Abstract: Multilabel classification (MLC) deals with instances associated with multiple labels simultaneously and often includes high dimensional data with noisy, irrelevant, and redundant features.

Addressing fairness and incorporating uncertainty estimation with selective classification are key contributions that can enhance the clinical utility and responsible implementation of such systems.