“Yoshua Bengio, Geoffrey Hinton, and Yann LeCun Titled “Deep Learning for AI,” the paper envisions a future in which deep learning models can learn with little or no help from humans, are flexible to changes in their environment, and can solve a wide range of reflexive and cognitive problems. One example is the Transformer, a…
Tag: Yoshua Bengio
Devil’s in the details in Historic AI debate
“Gary Marcus, the NYU professor and entrepreneur who has made himself a gadfly of deep learning with his frequent skewering of headline hype, and Yoshua Bengio, a leading practitioner of deep learning awarded computing’s highest honor for his pioneering work, went head to head Monday night in a two-hour debate Webcast from Bengio’s MILA institute…
Federated Learning = Data Access + Privacy
“Federated Learning – Currently, data silos and privacy protection are two big challenges for AI. As an encrypted distributed machine learning framework, FL can tackle both problems by allowing different parties to build models collaboratively without the need to reveal their data. The method helps to advance AI modeling while protecting data and privacy. Direct…