How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Scientists discover a new rule that could make hydrogen fuel cells cheaper and more efficient

For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...
Psychology TodayOpinion

Are We Good Enough for AI to Learn From Us?

AI is often described as a mirror of humanity. A mirror can flatter, distort, or expose. But do we like what we put in front ...
CNET

Dataland, the First AI Museum, Converts Info Into a Multisensory Kaleidoscope

Its first exhibit translates rainforest data into a sumptuous audiovisual experience, but without a strong thesis about data ...
The Scientist

Postdoc Portrait: Mary Cundiff Maps Shared Disease Mechanisms

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...
IEEE

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...
IEEE

Interpretable Transformers for Alzheimer Disease Diagnosis on Multi-modal Data

Abstract: Alzheimer’s disease (AD), a neurological condition, primarily affects brain cells. Historically, the detection of this disease has focused on single modality data using machine learning and ...