He launched a learning game at 16 that now reaches millions of students worldwide. Here’s what we can learn from this young ...

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

This study provides evidence that cerebellar projections to the thalamus are required for learning and execution of motor skills in the accelerating rotarod task. This important study adds to a ...

We present a machine learning method based on random projections with Johnson-Lindenstrauss (JL) and/or Rahimi and Recht (2007) Random Fourier Features (RFFN) for efficiently learning linear and ...

The running joke in the Hunstable family was that Fred Hunstable never knew that garages were where you parked your cars. Instead, they served as places for the nuclear and electrical engineer to ...

Unsupervised learning based on restricted Boltzmann machine or autoencoders has become an important research domain in the area of neural networks. In this paper mathematical expressions to adaptive ...