What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to search digital transcriptions of sources for specific keywords saves valuable ...

But data used to train machine-learning models are typically labeled descriptively — meaning humans are asked to identify factual features, such as, say, the presence of fried food in a photo. If ...

A machine learning (ML) engine, based on neural networks, looks at a pattern (say, a text message) and maps it to a concept such as the semantics, or the intent of the customer sending the message.

There are two ways data can be manipulated—either through rules or machine learning—to achieve AI, and some best practices to help you choose between the two methods. Rules-based systems ...

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.

As computers and the concept of artificial intelligence (AI) were almost simultaneously developed in the 1940s and 1950s, the field of medicine was quick to see their potential relevance and ...

'One machine learning model to rule them all': Google open-sources tools for simpler AI Written by Liam Tung, Contributing Writer June 20, 2017 at 6:18 a.m. PT ...