Gary Sheng explains how he went from organizing dance parties to overseeing Peon Ping, a Claude plug-in with 100K+ users that keeps developers on task using video game sounds.
Prediction markets like Polymarket and Kalshi are big business, and some Big Tech employees are testing boundaries by making trades based on insider knowledge.
With prediction markets booming, so have concerns about insider trading. Now, Kalshi has disclosed its first public actions against accounts suspected of trading on confidential information.
If this is what a Cavapoo can do, goodness knows what a Border Collie would code.
You might not think of a CAPTCHA check as a cybercrime lure, but if you fall prey to one, you may become infected with malware. Learn how to spot them with our guide.
Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official diagnosis. By using machine learning to analyze clinical notes in electronic ...
KNOXVILLE, Tenn. — Officials with Zoo Knoxville said Dolly, the giant reticulated python, got a comprehensive health evaluation for the first time in five years. Dolly got a full physical assessment, ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...
JONESBORO, Ark. (KAIT) - The Arkansas Department of Transportation announced Friday it will use cameras in work zones to detect drivers using phones or other handheld devices. The initiative between ...
Samsung Electronics is getting ready to showcase one of its most ambitious health features called Brain Health. The new feature is designed to help detect early signs of cognitive decline and ...
Two University of Arizona researchers have been working on a wearable healthcare device using artificial intelligence to detect subtle warning signs of frailty in elderly patients, marking a step ...
Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data, achieving high accuracy even when that data is incomplete or irregular.
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