In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

What is the Role of Agentic AI in DevOps Security? How can organizations ensure the security of machine identities and secrets? A comprehensive security strategy, encompassing Non-Human Identities ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.