Federated learning is a technique that helps train machine learning models without sending sensitive user data to the cloud.
By Katie Kuchta
How long since you let your fingers go walking through the Yellow Pages? Or cracked open an encyclopedia? Or called the library looking for help with homework?
If you’re like most of the online...
Neural architecture search NAS is a series of machine learning techniques that can help discover optimal neural networks for a given problem.
Support vector machine (SVM) is a type of machine learning algorithm that can be used for classification and regression tasks.
By Vanessa Kearney
Any business looking to streamline its processes and move to more efficient models will encounter automation, machine learning, and artificial intelligence along the way. Although in 2020 we’re a far cry from sentient...
Recurrent neural networks enable computers to process text, videos, time series, and other sequential data.
If you think someone without your desktop login won’t be able to access your computer’s files, think again. Anyone with mediocre IT skills can take your your hard disk, plug it as a secondary drive...
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI.
I was nine years old when I had my first taste of programming, and fell...
Training a deep learning model requires vast amounts of training data and compute resources. With transfer learning, developers can cut both on training examples and CPU costs.
Are we living in a simulation? This laughed-at notion is becoming increasingly acceptable as technological advances are blurring the boundaries between reality and illusion. There is now not one but three different flavors of synthetic...