When scientists assess how dangerous a bacterium is, the first question often seems simple: Can it be stopped or killed? In ...

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...

Machine learning is a fast-growing and successful branch of artificial intelligence. In essence, machine learning is the process of allowing a computer system to teach itself how to perform complex ...

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

UMG has hired its first senior vp of applied AI and machine learning, with Òscar Celma joining the record label group.

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Former ISRO chief A.S. Kiran Kumar highlights AI, machine learning, and robotics as key drivers of future space exploration advancements.

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...

Pre-conference AI in pharmacometrics workshop and four scientific poster presentations highlight PumasAI’s presence at the ...

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...

A machine-learning framework connects performance prediction with safer software evolution for Android communication ...