Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of ...
4029tv

Bentonville school district unveils new specialized learning models

LIVE WITH WHAT THIS MEANS FOR YOUR KIDS PARENT-CHOICE SCHOOLS, AS THE DISTRICT IS CALLING THEM - ARE SCHOOLS WITH A SPECIALIZED FOCUS. SUGAR CREEK ARTS ACADEMY WILL SPECIFY IN ARTS INTEGRATION. RUTH ...
https//fedtechmagazine.com

Machine Learning Models Expedite Federal Tech Efforts

A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...
The Gazette

Improved test scores, fewer behavior referrals in C.R. schools because of new learning model

Using the learning model called Instructional Empowerment, students in the Cedar Rapids school district work in teams of three or four to tackle questions posed by the teacher, fostering a culture of ...
Long Island Press

Carle Place School District updates student learning models

Members of the Carle Place School District Board of Education met on the evening of Thursday, Nov. 6, to discuss programming ...

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Machine-learning model could save costs, improve liver transplants, Stanford-led research shows

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.