MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

Despite significant advancements, robotic automation has struggled with reliably performing delicate, tactile tasks like ...

Monitoring and Learning Framework. As the authors of another recent SSIR article, Jess Daggers, Alex Hannant, and Jason Jay, put it: “Systemic investing, as we see it, requires mindsets, principles, ...

A machine learning framework that uses scarce and sparse experimental data to both predict and inversely design the mechanical behavior of spinodal metamaterials. Why It Matters The method enables ...

Researchers from The University of Texas at Austin used machine learning and artificial intelligence to develop new materials that could keep your house cooler and reduce energy bills.

The new HPE GreenLake Intelligence agentic AI framework aims to change IT operations with autonomous, self-learning agentic ...

A deep learning framework, LSTM-SAM, uses transfer learning to predict storm-driven coastal flooding in areas with limited data.

Senate Bill 569 will modernize Texas’ virtual learning framework for students across the state Halee Powers , Content Gatherer Published: May 7, 2025 at 8:19 AM Updated: May 7, 2025 at 12:17 PM ...