Computer Vision News - May 2022

22 AI Spotlight News Computer Vision News has found great new stories, written somewhere else by somebody else. We share them with you, adding a short comment. Enjoy! Andrew NG to start a new Machine Learning Specialization Let’s start with one of the pillars of our community. This tweet was already seen by many people, but maybe not by everybody. At the time of Coursera’s 10 years anniversary (good job, guys!), Andrew NG announces that he is going to start a new Machine Learning Specialization , created by @StanfordOnline and @DeepLearningAI_ . It will be a new and separate program but is an expanded and updated version of the original standalone course. Many people started their career on Andrew’s first ML course and now he asks to help him spread the word. Here you go, Andrew! Read More Expressive and Emotional Speech Generated from a Neutral Prompt, with Laughter, Yawns, Hum, Etc. We mentioned Andrew, let’s talk about Yann . Yann Lecun shared Meta ’s recent announcement about a few more milestones toward more expressive NLP models , which add up to last year’s breakthrough model called Generative Spoken Language Model (GSLM) . Apparently, Meta claim they are able now to model expressive vocalizations, like laughter, yawning, and cries ; as well as spontaneous, real-time chit-chat, occasional overlaps or pauses and other nuanced social cues and signals, like interruptions, as well as positive or negative feedback, helping researchers to build more natural AI systems Read More Researchers Warn: Risks of Using AI To Grow Our Food Are Substantial and Must Not Be Ignored This article informs us that Artificial Intelligence is on the cusp of driving an agricultural revolution, and helping confront the challenge of feeding our growing global population in a sustainable way. Which is very good, and we sort of knew that already. But researchers warn that using new AI technologies at scale holds huge risks : hackers messing things up, security failing, environment mismanagement, exploitation of disadvantaged communities and so many other bad consequences. Moreover, the benefits will likely be more visible in the more developed and internet-savvy regions of the world. Read More