Computer Vision News - August 2020

AI Spotlight News 42 Computer Vision News has found great new stories, written somewhere else by somebody else. We share them with you, adding a short comment. Enjoy! A I S P O T L I G H T N E W S GPT-3 is likely to Revolutionise AI Applications As you all probably know, the Internet (mainly Twitter) is buzzing about GPT-3 , a new AI interactive tool the full name of which is Generative Pertained Transformer-3 . This is the third generation of the machine learning model and those who tried it confirm that it can do amazing things. Put it in the simplest words, it builds on 175 billion parameters and given the task of writing code, it does that surprisingly well . GPT-3 is trained on a dataset of close to a trillion words and it is quite open to potential misuses , such as “misinformation, spam, phishing, abuse of legal and governmental processes, fraudulent academic essay writing, and social engineering pretexting ”. For the time being, it surely has generated a lot of attention. Read More Engineers Reveal a Prosthetic Leg with a Mind of Its Own For millions of people living with limb loss, prosthetics can be bulky, unintuitive, and make everyday activities, like stepping over a sleeping cat, a challenge. Engineers from Utah University has designed a new approach to prosthetic limb movement that uses Artificial Intelligence to mimic the motion of the user's residual leg, making the act of walking smoother and more intuitive. As you can see that in the video on the left, the system provides natural interaction with new environments like sudden obstacles coming into your path. The AI and its heuristic algorithm work by collecting information about the user's hip movements and using that to reinterpret the motion of the residual limb to offer a much- improved functionality. Read More AI brings pancreatic cancer screening one step closer to reality Only a tiny minority of people develop pancreatic cancer , so that it is not necessary to screen everyone, with potential side-effects. But most patients are diagnosed at an advanced stage when it is too late for curative treatment: very few patients survive. Hence the need for timely non-invasive screening of potentially at-risk populations. Researchers came up with the idea that AI could find a combination of non-specific symptoms that is linked with higher risk of contracting the disease , which would be difficult to spot by GPs. The research was conducted at the London School of Hygiene & Tropical Medicine and presented at the European Society for Medical Oncology (ESMO) World Congress on Gastrointestinal Cancer. More AI for healthcare . Read More