Tag: MIT

AI Technology

Global Minima Solution for Neural Networks?

New research from Carnegie Mellon University, Peking University and the Massachusetts Institute of Technology shows that global minima of deep neural networks can been achieved via gradient descent under certain conditions. The paper Gradient Descent Finds Global Minima of Deep Neural Networks was published November 12 on arXiv.

AI United States

MIT Is Opening a $1Bn AI College

The Massachusetts Institute of Technology (MIT) today announced they will invest US$1 billion into a new college for artificial intelligence. The MIT Stephen A. Schwarzman College of Computing will “constitute both a global center for computing research and education, and an intellectual foundry for powerful new AI tools.”

AI

Julia 1.0 Released

MIT-developed Julia has become one of the world’s fastest-growing programming languages. Last year it teamed with a supercomputer to catalogue 200 million astronomical objects within 15 minutes — one thousand times faster than the previous rate.

AI Technology

SJTU & MIT Paper Reinvents Neural Architecture Search; Slashes Computational Resource Requirements

The dearth of AI talents capable of manually designing neural architecture such as AlexNet and ResNet has spurred research in automatic architecture design. Google’s Cloud AutoML is an example of a system that enables developers with limited machine learning expertise to train high quality models. The trade-off, however, is AutoML’s high computational costs.