Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks, ...

Proponents of apprenticeships expect meaningful support for the programs under Trump, though some worry his other policies ...

Pillay is an editorial fellow at TIME. Pillay is an editorial fellow at TIME.

Are we slipping into an era where the lowest common cognitive denominator dictates what we read, write, and believe? Or are ...

This legislation allows individuals employed by school districts, Boards of Cooperative Educational Services, or charter schools to earn a bachelor's degree and obtain teaching licensure through a ...

With the emergence of new capabilities in ambient sensing technology and Large Language Models, we were inspired to create ReMe, a personalized cognitive training framework designed to create AI ...

It is important we ensure that doctors have the right skills and experience to meet these changing demands, and a training model that will meet these future needs. In doing this, it will be vital to ...

As the team got to work, some of the key challenges included scaling up the model training. We initially used a V100 cluster, where we were able to prove out how to scale up to training on up to 100 ...

Fuller, Joseph B., and Matthew Sigelman. "Room to Grow: Identifying New Frontiers for Apprenticeships." Report, November 2017. (Published by Burning Glass Technologies and Harvard Business School, ...

Another major limitation lies in the failure to conduct the test on AI models more than once over time, to measure how cognitive function changes. Testing models after significant updates would be ...

BEIJING, Feb 18 (Reuters) - U.S. automaker Tesla (TSLA.O), opens new tab said on Tuesday it has started mass production of the revamped version of its Model Y in its Shanghai factory. Sign up here.

“When you’ve already been playing a game for [one] hour and are starting to battle a new boss, you put a lot of cognitive effort into understanding how the enemy works and how to defeat ...