The integration of machine learning into the GEOS-Chem model enhances aerosol simulations, providing critical insights for ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood ...

To understand the strategic implications of AI’s new capabilities, managers need a framework for when AI will be helpful and ...

Researchers from the Heriot-Watt Center at Tomsk Polytechnic University have employed machine learning algorithms to predict ...

Audio recordings were analyzed for acoustics, speech rate, and content. Machine learning models combined speech features and ...

By implementing these six data strategies, organizations can ensure their data is primed for effective AI deployment.

By using the near-infrared region of the electromagnetic spectrum, this method can reveal a sample's chemical composition ...

This valuable study investigates how the neural representation of individual finger movements changes during the early period of sequence learning. By combining a new method for extracting features ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

Arm has dominated the automotive safety-related arena with its Cortex-M and Cortex-A families. RISC-V vendors have been able ...

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and ...

The Government of Ontario has recently mandated that utility providers offer consumers digital access to their energy usage data, marking a significant shift in how energy information is shared and ...