[Machine printing human skin reconstruction]
Guive Balooch (interview): “You have the ability to now 3D print cells. You have the ability to use AI software to be able to reconstruct hair models and skin models and all of that through a world where then you combine it with cells and tech, you can be able to create any model that you want. And I think this is going to be a major revolution in the future when it comes to testing in the health industry, but also on skin.”
[L’Oréal booth, screens showing graphics of skin cross section]
[Machine printing human skin reconstruction]
Guive Balooch (interview): “The skin reconstructs that we have today are almost mirroring what you would have in a human body. They have the same types of, in some cases, vascularisation, the same types of ratio of cells, the same way of being able to react both to safety and efficacy of having a product on the actual skin. And we know this because we’ve tested on people as well as on the reconstruct. So being able to have that allows us to mirror essentially what it would be like to use on human skin.”
[Prosthetic hand by Esper Bionics which uses machine learning to improve functionality]
[Promotional video showing man with Esper prosthetic hand constructing a remote controlled flying vehicle]
Dima Gazda, CEO (interview): “We use AI, specifically machine learning, to better detect muscle activity and understand in these situations which grips are preferred by users. That helps us to improve control algorithms over time, and that makes control more intuitive.”
[Olena Pozniakova, Quality Assurance Engineer, Esper Bionics, and her prosthetic hand]
Olena Pozniakova (interview): “It changed my life because as of now, I feel independent. I feel more confident about what I’m doing, how I’m doing it and the most important thing that I can do it by my own without asking for help at all.”
[Prosthetic hand moving]
[Pozniakova demonstrating how her prosthetic hand can grip an object]
Olena Pozniakova (interview): “It helps just understand what users are intending to do. For example, when I’m lifting the hand and approaching to any object, it understands what I want to do. For example, to pick up the object, it changes the grip instead of me, so there is no need for me to do muscle contractions. That’s how my muscles are not getting tired so fast. So it’s easier for me to wear a hand for a long time. Like people with the biological arms, you do not get tired because you are used to it. For me it might be a little bit harder to wear a hand during all the day. That’s why AI helps users to make a friendship with the prosthetic hand.”
[Signs for AI businesses at VivaTech]
François Bitouzet (interview): “For the next 12 months there is a challenge and the challenge is AI because it completely changes the game for companies, for state, for people, and we will see who will be the winners, who will be the losers. But what I can tell you is that everything is changing, and the ones who were at the top can now collapse. And so it’s going to be something very exciting. So how can we take AI with the potential and make it (into)new business opportunities, growth, employment and better for everyone.”
[Show floor]
[VivaTech symbol]
[George Zhao, CEO, Honor, on stage]
[Audience]
[Zhao]
George Zhao (speech): “Honor is open to the whole industry collaboration. So for Honor the future of AI application will cooperate with Microsoft, Qualcomm, Google and when these partners work together, we do believe we can deliver the better state of life.”
[VivaTech show floor]
This script was provided by The Associated Press.