Machine learning & AI

Scientists adopt deep learning for multi-object tracking

Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field that are still extremely ...

Computer Sciences

Quantum computer programming for dummies

For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner's guide provides a thorough introduction to quantum algorithms ...

Hardware

AI-equipped eyeglasses read silent speech

Cornell University researchers have developed a silent-speech recognition interface that uses acoustic-sensing and artificial intelligence to continuously recognize up to 31 unvocalized commands, based on lip and mouth movements.

Computer Sciences

Platform teaches nonexperts to use machine learning

Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small—from COVID-19 vaccination development to Netflix recommendations.

Computer Sciences

AI powers autonomous materials discovery

When a master chef develops a new cake recipe, she doesn't try every conceivable combination of ingredients to see which one works best. The chef uses prior baking knowledge and basic principles to more efficiently search ...

Engineering

Wearable wristband captures entire body in 3D

Using a miniature camera and a customized deep neural network, Cornell researchers have developed a first-of-its-kind wristband that tracks the entire body posture in 3D.

Machine learning & AI

Breaking AIs to make them better

Today's artificial intelligence systems used for image recognition are incredibly powerful with massive potential for commercial applications. Nonetheless, current artificial neural networks—the deep learning algorithms ...

Security

Keeping web-browsing data safe from hackers

Malicious agents can use machine learning to launch powerful attacks that steal information in ways that are tough to prevent and often even more difficult to study.

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