Latest from Google AI – Differential Privacy Accounting by Connecting the Dots

Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the level of guarantee that the algorithm’s output distribution for a…

Latest from Google AI – Accelerating Text Generation with Confident Adaptive Language Modeling (CALM)

Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in natural language processing. Models like T5, LaMDA, GPT-3, and PaLM have demonstrated impressive performance on various language tasks. While multiple factors can contribute to improving the performance of LMs, some recent studies suggest that scaling…

Latest from Google AI – Who Said What? Recorder’s On-device Solution for Labeling Speakers

Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder, an audio recording app for Pixel phones that helps users create, manage, and edit audio recordings. It leverages recent developments in on-device machine learning to transcribe speech, recognize audio events, suggest tags for titles, and…

Latest from MIT : Cognitive scientists develop new model explaining difficulty in language comprehension

Cognitive scientists have long sought to understand what makes some sentences more difficult to comprehend than others. Any account of language comprehension, researchers believe, would benefit from understanding difficulties in comprehension. In recent years researchers successfully developed two models explaining two significant types of difficulty in understanding and producing sentences. While these models successfully predict…

Latest from MIT Tech Review – How AI-generated text is poisoning the internet

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. This has been a wild year for AI. If you’ve spent much time online, you’ve probably bumped into images generated by AI systems like DALL-E 2 or Stable Diffusion, or jokes, essays,…

Latest from MIT Tech Review – A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?

In the fall of 2020, gig workers in Venezuela posted a series of images to online forums where they gathered to talk shop. The photos were mundane, if sometimes intimate, household scenes captured from low angles—including some you really wouldn’t want shared on the Internet.  In one particularly revealing shot, a young woman in a…

Latest from MIT : Subtle biases in AI can influence emergency decisions

It’s no secret that people harbor biases — some unconscious, perhaps, and others painfully overt. The average person might suppose that computers — machines typically made of plastic, steel, glass, silicon, and various metals — are free of prejudice. While that assumption may hold for computer hardware, the same is not always true for computer…

Latest from MIT Tech Review – Sam Altman: This is what I learned from DALL-E 2

Sam Altman, OpenAI’s CEO, has been at the heart of the San Francisco-based firm since co-founding it with Elon Musk and others in 2015. His vision for the future of AI and how to get there has shaped not only what OpenAI does, but also the direction in which AI research is heading in general….

Latest from MIT Tech Review – Artists can now opt out of the next version of Stable Diffusion

Artists will have the chance to opt out of the next version of one of the world’s most popular text-to-image AI generators, Stable Diffusion, the company behind it has announced.  Stability.AI will work with Spawning, an organization founded by artist couple Mat Dryhurst and Holly Hendon who have built a website called HaveIBeenTrained, that allows…