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

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Pursuant to the Agreement, Hunan Saitumofei has granted Shanghai Benke exclusive distribution rights for the Analyzer in East China, covering Jiangsu Province, Shanghai Municipality, and Zhejiang ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its promises.

WORK Medical Technology Group LTD (Nasdaq: WOK) ("WORK Medical", the "Company" or "we"), a supplier of medical devices in China, through its subsidiary ...

Germany’s most important research funding prize is presented to ten researchers / Prize money of €2.5 million each / Award ceremony to be held in Berlin on 18 March ...

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.

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

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...