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

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

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

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

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

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

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

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

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 ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...