Computer Vision News - September 2021

22 Artificial Intelligence 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 How Can AI Help Fight Climate Change? Good question, right? If you are not yet worried by climate change , we can point you at a few experts who really are. Apparently, AI can help predict and limit devastation from storms , wildfires and droughts : it is already used to send alerts in Japan, in China, in the Amazon Forest. AI applications could also help design more energy-efficient buildings, improve power storage and optimize renewable energy deployment by feeding solar and wind power into the electricity grid as needed. They could also help households minimize their energy use. The downside is how much energy AI consumes on the way. Read More M.Video uses artificial intelligence to offer customers personalized pricing As you have read many times on Computer Vision News, the retail is one of the most active fields in AI adoption. Today’s news is that the M.Video retail chain (Russia’s leading e-commerce and consumer electronics retailer), has launched personalized pricing powered by AI for users of its mobile platform. The new service offers customers guaranteed discounts based on purchase history and available bonuses. Does it work? Apparently, the conversion rate for the customer mobile app has risen 1.5x. Personalized pricing for M.Video website customers will be launched at a later time. Read More What is federated learning? Some of our readers certainly already know. They can skip to the next news. For all the others, this is a solution to the key challenge of machine learning for large amounts of data , the processing risks of which organizations would rather avoid. Do you run your model on the cloud? Then you need to send the data to the server where the ML model resides. Advances in edge AI have made it possible to avoid sending sensitive user data to application servers, making the model fit on smartphones and other user devices . Do you want us to write a full feature about federated learning? Tell us! Read More