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

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

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

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

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

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...

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

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...