This new technical paper titled “Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors” was published by researchers at SungKyunKwan University, Korea. “In this paper, we ...

An artificial neural network (ANN) or commonly just neural network (NN) is an interconnected group of artificial neurons that uses a mathematical model or computational model for information ...

David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning ...

As one of the most popular classification methods, the logistic regression model has been studied extensively. Essentially, the model assumes that an individual's class label is influenced by a set of ...

Proceedings of the American Mathematical Society, Vol. 140, No. 7 (JULY 2012), pp. 2357-2373 (17 pages) The Chafee-Infante equation is one of the canonical infinite-dimensional dynamical systems for ...