… operations and a culture of innovation, resulting in GDIT’s acceleration of enhanced offerings in cloud, mobility and artificial intelligence to DOD.

A groundbreaking artificial intelligence-powered facial recognition system that can identify people wearing masks has been deployed by law …

Artificial Intelligence based Personalization market report is categorized based application, end-user, technology, the types of product/service, and …

The Global Automotive Artificial Intelligence Market 2020 Report Covers the in-depth valuable … International Business Machines Corporation

Created by scientists at Pompeu Fabra University in Spain the new system was trained using a gesture-recognising Myo armband that tracked the arm movements of a professional violinist as she used the Détaché, Martelé, Spiccato, Ricochet, Sautillé, Staccato and Bariolage bow techniques. Audio of the performances was recorded at the same time. The Machine Learning based algorithm then compared the arm movements to the corresponding audio, determining which movements created which sounds, within each technique. When the system was subsequently tasked with identifying the technique that a violinist was using, it could do so with an accuracy of over 94 percent. It is now hoped that once developed further the technology could be used to provide students with real-time feedback, showing them where their form deviates from that of the pros, and once the technology's refined then it won't be just constrained to teaching people how to play the violin – you can imagine it being used to help athletes up their game, and myriads of other applications. The research, which was led by David Dalmazzo and Rafael Ramírez, is described in a paper that was recently published in the journal Frontiers in Psychology.

And learning of AI is called Machine Learning, of which Deep Learning is a part. Leading AI textbooks define the field as the study of "intelligent agents": …

We used machine-learning classification models (classification decision tree and random forest model) and applied to a household survey. This was …

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Firefighters in Indiana spent an hour searching a reservoir on Saturday to recover a valuable item for one woman – her prosthetic leg. The Indianapolis Fire Department said on Twitter that Tactical Team 7 had just finished up an hours-long training exercise in Geist Reservoir when officers with the Indiana Department of Natural Resources approached them for help. A woman in her 40s had lost her titanium/carbon fiber prosthetic leg worth $20,000 in an area of Geist Reservoir known as "Family Cove." "Without hesitation, the crew gathered their dive equipment from the rescue truck and hopped into DNR's boat," IFD Battalion Chief Rita Reith said in a news release.

What are your thoughts on the topic? How likely do you think that a neural network model will eventually learn to reason and prove theorems like humans? The success of AlphaZero shows that it's possible for artificial neural network based agents to derive their own knowledge from a simple set of rules. However, they suffer from challenges in reinforcement learning: they are not very sample-efficient, and an RL agent that is capable of understanding mathematics has yet to be seen. After looking around many papers I think that there exists a general lack of ability to understand logic in ML models.

It helps drive your car, recognizes your face at the airport's immigration checkpoint, interprets your CT scans, reads …