Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Abstract: This paper explores a personalized recommendation system for educational technology platforms utilizing machine learning algorithms, with the goal of addressing the issue of information ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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

Automation performance depends on signal quality. Learn how Google Ads prioritizes signals, how pollution starts, and how to ...

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.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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.

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

India’s autonomous future will not arrive overnight, and it will not look like anyone else’s. But step by step, through ...

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 ...