Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like controlling the motion […]
While artificial intelligence (AI) bots can serve a legitimate purpose on social media—such as marketing or customer service—some are designed to manipulate public discussion, incite hate speech, spread misinformation or enact fraud and scams. To […]
For years a potential disaster lurked in the internet’s encryption system, threatening the security of organizations and individuals worldwide. Princeton engineers have now squelched that threat, working with industry leaders to transform their research into […]
Researchers have developed a new way to automatically detect hate speech on social media platforms more accurately and consistently using a new multi-task learning (MTL) model; a type of machine learning model that works across […]
Mounting pressure to regulate children’s use of technology in the United States raises the question: Is childproofing the internet constitutional?This article was originally published on this website.
A world of color and texture could soon become more accessible to people who are blind or have low vision, via new software that narrates what a camera records.This article was originally published on this […]
From the water that comes out of the faucet to the chemical reactions in jet engines that propel planes, turbulence affects our everyday lives. Researchers at Georgia Tech are studying the complex physics of turbulence […]
A team of engineers at Apple has developed an AI-based model called Depth Pro that can map the depth of a 2D image. The team has written a paper describing the app and its capabilities […]
Artificial Intelligence has learned to master language, generate art, and even beat grandmasters at chess. But can it crack the code of abstract reasoning—those tricky visual puzzles that leave humans scratching their heads?This article was […]
Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” […]
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