Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

Like a brain, a deep neural network has layers of neurons—artificial ones that are figments of computer memory. When a neuron fires, it sends signals to connected neurons in the layer above. During ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

In a recent essay by Sam Altman, titled “The Intelligence Age,” he paints a picture for the future of AI. He states that with AI, “fixing the climate, establishing a space colony, and the discovery of ...

Many challenging problems in diverse areas such as computer vision, speech recognition, and machine language translation have recently made great progress by using an emerging technology called deep ...

Geoffrey Hinton, a pioneer of deep learning who works at Google and the University of Toronto, emailed Tishby after watching his Berlin talk. “It’s extremely interesting,” Hinton wrote. “I have to ...