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

Evo is a large language model that is not trained on words but on the genomes of millions of microbes. It can accurately ...

Parallels between our brains and vector databases go deeper than retrieval. Both excel at compression, organizing and identifying patterns.

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

The acquisition is being positioned as a way for Red Hat and its parent IBM to lower the barrier to entry for organisations ...

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 ...

Manoj Chowdary Vattikuti, Sr. DevOps Engineer at Cardinal Health, and Niharikareddy Meenigea, Sr. Data Analyst at Virginia ...

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.

Quantum machine learning (QML) is rapidly emerging as a field that combines the power of quantum computing with the capabilities of artificial intelligence (AI) ...

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