Practising a tool-using task helps people do better in a test of complex language understanding – and the benefits go the other way too. The crossover may happen because some of the same parts of the brain are involved in tool use and language, says Claudio Brozzoli at the National Institute of Health and Medical Research in Lyon, France. One idea is that language evolved by co-opting some of the brain networks involved in tool use. Both abilities involve sequences of precise physical movements – whether of the hands or of the lips, jaws, tongue and voice box – which must be done in the right order to be effective. Brozzoli's team asked volunteers to lie in a brain scanner while carrying out tasks involving either tool use or understanding complex sentences.

In 2020, sports and lifestyle company Bollé launched the Volt, their first lens developed with artificial intelligence (AI). Researchers at EPIC, Bollé's state-of-the-art design and technology innovation lab in Lyon, France, evaluated 20 million lens formula combinations with AI. The algorithm assessed all the combinations, and the team eventually chose one high-contrast formula that provides the best possible color enhancement and depth perception for their active lifestyle customers. Sports and lifestyle glasses maker Bollé used Artificial Intelligence (AI) to create new ... [ ] state-of-the-art lenses, then launched a transformative marketing campaign that allows customers to not only try their glasses on virtually, but also to take them for an Augmented Reality (AR) test drive! The Volt is being touted as one of the most technologically advanced lens in the marketplace, and it is being included throughout Bollé's extensive line of sport and lifestyle sunglasses.

When Apple CEO Tim Cook introduced the iPhone X, he claimed it would "set the path for technology for the next decade." While it is too early to tell, the neural engine used for face recognition was the first of its kind. Today deep neural networks are a reality, and neuromorphic appears to be the only practical path to make continuing progress in AI. Facing data bandwidth constraints and ever-rising computational requirements, sensing and computing must reinvent themselves by mimicking neurobiological architectures, claimed a recently published report by Yole Développement (Lyon, France). In an interview with EE Times, Pierre Cambou, Principal Analyst for Imaging at Yole, explained that neuromorphic sensing and computing could solve most of AI's current issues while opening new application perspectives in the next decades.

SIDO, the groundbreaking event of the IoT industry, is bringing down the barriers between technologies and, for its 5th edition, announces a unique forum in Europe combining IoT, AI & Robotics! From enabling technologies to comprehensive solutions, SIDO drives innovation and brings together 3 converging ecosystems for projects that are connected, autonomous and increasingly smarter. Take part in this major "Technologies & Markets" event, to be held on 10 & 11 April 2019 at the Cité Internationale convention center in Lyon, France. " IoT: a market which holds its promise of a 10% growth per year thanks to the dynamism of the industrial markets, to reach an installed base of 35 billion units in 2030. The race for productivity will push them to smarter, more mobile robots.

Alexa will soon be able to recall information you've directed her to remember, as well as have more natural conversations that don't require every command to begin with "Alexa." She'll also be able to launch skills in response to questions you ask, without explicit instructions to do so. The features are the first of what Amazon says are many launches this year that will make its virtual assistant more personalized, smarter, and more engaging. The news was announced this morning in a keynote presentation from the head of the Alexa Brain group, Ruhi Sarikaya, speaking at the World Wide Web Conference in Lyon, France. He explained that the Alexa Brain initiative is focused on improving Alexa's ability to track context and memory within and across dialog sessions, as well as make it easier for users to discover and interact with Alexa's now over 40,000 third-party skills.

Today and tomorrow, I am attending the Statlearn17 conference in Lyon, France. Which is a workshop with one-hour talks on statistics and machine learning. And which makes for the second workshop on machine learning in two weeks! Yesterday there were two tutorials in R, but I only took the train to Lyon this morning: it will be a pleasant opportunity to run tomorrow through a city I have not truly ever visited, if X'ed so many times driving to the Alps. Interestingly, the trip started in Paris with me sitting in the train next to another speaker at the conference, despite having switched seat and carriage with another passenger!

After losing his lower right arm 22 years ago, tattoo artist JC Sheitan Tenet from Lyon, France, can finally start to draw again thanks to a newly modified prosthetic arm that also functions as his tattoo machine. The steampunk-style tool, which some are calling the first tattooing prosthesis, was created for Tenet by French artist JL Gonzal utilizing an old prosthesis he no longer used, sewing machine parts and a record player, according to Motherboard. The tattoo machine is attached to the side of the prosthesis, and the controls and cables run the length of the arm so they don't get in the way while Tenet draws. Tenet showed off his new machine at the Tattoo Motor Show 8 in Devézieux, France, where Tenet says people were blown away, and for good reason. Seeing Tenet use the machine in action is incredible.

Only the most dedicated statistics geeks would get into actuarial science, although the field of study is secretly pretty cool: actuaries are charged with enormous responsibility -- their job is essentially to predict the future, although unlike futurologists, there are real and severe consequences to getting it wrong. The world's "least famous scientists" will be in Lyon, France later this month for the ISFA-Columbia University Actuarial Science Workshop to talk about how smart machines will bring better predictions to an increasingly unpredictable world. Rather than predict what future technologies will corrupt the brains of future children and grandchildren, actuaries concern themselves with money and risk. How will climate change affect home insurance claims from hurricanes ten years from now? If 20-somethings are promised a pension plan on certain terms today, will the world of 40 years from now be able to pay up?

Presented at the NATO Symposium Human and Artificial Intelligence, Lyon, France, October, 1981. CMU Technical Report CMU-CS-82-104. We examine computer games in order to develop concepts of the relative roles of knowledge and search. The paper concentrates on the relation between knowledge applied at leaf nodes of a search and the depth of the search that is being conducted. Each knowledge of an advantage has a projection ability (time to convert to a more permanent advantage) associated with it. The best programs appear to have the longest projection ability knowledge in them. If the application of knowledge forces a single view of a terminal situation, this may at times be very wrong. We consider the advantages of knowledge delivering a range as its output, a method for which some theory exists, but which is as yet unproven.