As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...