Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...
The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
Parth, the digital nerd, dances between the realms of Android and iPhone like a tech-savvy tango. With a keyboard as his compass, he navigates the binary seas, uncovering hidden gems and unraveling ...
Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...
Learning a language can’t be that hard — every baby in the world manages to do it in a few years. Figuring out how the process works is another story. Linguists have devised elaborate theories to ...
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Researchers Use Neural Networks for Accurate, Non-Contact Temperature Monitoring in Laser Systems
Researchers have developed a new machine learning-based technique that uses only spectral data to monitor laser temperature—no contact sensors required—opening the door to simpler, non-invasive ...
Yelp has expanded its use of neural networks to improve ad matching, search results, photo classification and Yelp Waitlist, among other services. This means more relevant search results that map back ...
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When minds align: A neural basis for flocking
When animals move together in flocks, herds, or schools, neural dynamics in their brain become synchronized through shared ways of representing space, a new study by researchers from the University of ...
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