AI & RoboticsNews

Facebook’s Dynabench aims to make AI models more robust through distributed human workers

Facebook today introduced Dynabench, a platform for AI data collection and benchmarking that uses humans and models “in the loop” to create challenging test data sets. Leveraging a technique called dynamic adversarial data collection, Dynabench measures how easily humans can fool AI, which Facebook believes is a better indicator of a model’s quality than current benchmarks provide. A number…
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AI & RoboticsNews

WhyLabs raises $4 million to grow AI and data monitoring platform

WhyLabs is launching out of stealth today with $4 million to grow its platform for data scientists who need help monitoring and troubleshooting problems they encounter with datasets or AI models. The goal is to help teams managing machine learning models save time and catch problems before they make trouble for businesses or customers. Though more businesses are finding ways to apply AI to their…
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AI & RoboticsNews

Adobe’s Liquid Mode leverages AI to reformat PDFs for mobile devices

Adobe today announced an update for Acrobat Reader that leverages Sensei, the company’s machine learning platform, to make it easier to read whole documents on smartphones and tablets. Beginning with iOS, Android, and ChromeOS ahead of desktop and browser support in the coming months, Reader will gain a viewing option called Liquid Mode that automatically reformats text, images, tables, and more…
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AI & RoboticsNews

Sidewalk Labs launches Mesa, an AI platform designed to help commercial buildings save energy

Alphabet’s Sidewalk Labs urban tech division today detailed a commercial building kit dubbed Mesa that uses real-time data and automation to optimize energy usage. Sidewalk claims it’s able to cut waste and cost while simplifying installation and management. Commercial buildings have an outsized environmental impact, Sidewalk Labs notes, making up for nearly 30% of greenhouse emissions from…
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