Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networ ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

According to Wikipedia, the earliest diagnostic biopsy was conducted by an Arab physician in the 11 th century. The term “biopsy” derives from the Greek word bios which means life and the also ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Differences Between Deep Learning and Generative AI. Deep learning and generative AI are two distinct subsets of artificial intelligence (AI) with different approaches, goals, and applications. In ...

Now, researchers from Massachusetts Institute of Technology and Massachusetts General Hospital have developed a deep-learning algorithm that assesses breast density in mammograms as reliably as an ...

Since then, there have been a lot of advances on deep learning algorithms.” Deep learning algorithms typically need a lot more computational horsepower than machine learning. “The architecture used in ...