 Yeah, so I think you know as I mentioned so there is there is basically this wave of chatbots that's gonna appear So wherever you have internet or computer you're gonna have a layer of AI on top of that that that can engage you know the users and and and People who are using using their cell phones and portable platforms. So that's going to be the first kind of you know Area that that you can see help from from AI and machine learning, but you know there's also going to be a Of course a kind of a major Piece of you know Development for for industrial applications, you know, for example when you want to refine Actually, one of the ideas is that you know if you can have a high speed of for example Monitoring and you can you know use machine learning to you know pinpoint a certain very small feature or various You know certain type of Particle then you can for example Manufacture something that is very very specific and very expensive to manufacture without having the AI right so, you know Both industrial and on the industry section and also on the social section We're going to have you know AI impacting impacting people's lives and industries So right now what we are doing at MIT is that we are trying to use machine learning to for example model the way that light Scatters in the scattering medium and the reason that this is important is that when you want to image to scattering medium with optical frequencies You have this problem of scattering right so machine learning can help us to to basically be able to classify or detect certain features Inside the tissue or inside the scattering medium and and that's how we're using machine learning But we also use it for for example doing real-time, you know face tracking and you know some conventional Applications that have been used for machine for computer vision I mean right now if you go to a computer vision conference almost like 80 percent of of papers I have has to do something with machine learning so really machine learning and and computer vision are you know Right now so much, you know merged together that it's difficult to to separate them apart I think for you know for the technology part It's very difficult to say and I think there should be some sort of regulations what once these kind of Technologies want to be implemented in the society, right? I mean I can write a code in a lab that does x right it can I don't know Detect like faces in in hundreds of thousands of faces Let's say right and detect what each person feels like for example, right? But when you want to use that, you know, you know in on the street then, you know You really have to consider it, you know does people feel comfortable with that, you know So I think on the on the engineering side is very difficult to to you know to dictate that okay You guys shouldn't develop this or should not do this, you know, especially with now with the global community You know, it's really difficult to implement globally, right? Even if you if even if you enforce it, let's say in Europe It's not gonna be enforced in in you know, US or China, right? So that's that's very difficult, but once it's gonna come into the industry So you you know you're giving a license to a company or you know a company's making money Then you know there can be really some regulations that that kind of considers these ethics and and these kind of issues we did this Illustration challenge globally and we really brought, you know talent from from engineers and concept artists to Think about new new ways that AI can help help us And so we have the winners being showcased in in this conference What I want to say is that this is really something that every person can can think about it from their angle Rather than you know being very passive about it and say oh well AI is gonna come it's gonna get our jobs And you know we don't have we don't have any choice, you know, we cannot do anything about it I think the fact that you Take some steps to get engaged and start these discussions and think about you know really new possibilities Can can open up, you know some of these issues