I wanted to start by thanking Seth for organizing this event. I it's the first week. I also want to thank all of you for being here. It's a crazy week. And it's so wonderful to reconnect with our community and to see all of you in person. I haven't met a whole bunch of people in this room because everyone was virtual. There's a lot of new faces. I just wanted to say how excited I am to see all of you and I look forward to the breaks and lunch as far as meeting all of you as well. So it's that said, I'm faculty at Georgia Tech in the College of Computing, in the School of Interactive Computing. And I'm the new director of this AI carrying institute that I wanted to share a little bit of information about. So this is the NSF, National AI Institute on collaborative assistance and responsive interaction for network groups, which is a mouthful. We just call it Iike hearing. And just to give me a little bit of context, this is the newest research institute or one of the newest research institutes at Georgia Tech. And this is part of this national program led by the National Science Foundation to accelerate the pace of AI research across the nation. There are 17 such an institutes now. And Georgia Tech was fortunate to have two of these be awarded in this past year. The you're only allowed to submit two proposals. So we have a 100 percent return rate from this here. And then we have a third institute that where major partner on, we're not a lead, but we kind of have 2.5. So there's a lot of stars and symbols over there in Georgia. And the ward these for transformative ideas in AI. So taking very large collaborative efforts that will span a long period of time in terms of research and a large interdisciplinary team and really trying to push the field forward. So from our perspective, Georgia Tech's the lead for AI carrying. We have partners from Carnegie Mellon or among Carnegie Mellon knew Maslow, Oregon State University in Oregon Health and Science University. And if I were to describe what our institute is in a few words, and how is it going to transform AI? I would say that what we're focusing on is longitudinal, collaborative AI. Now this is not a kind of a, a phrase that, that is a very common today. And that's if it was common, we wouldn't have a brand new funded institute because there would that work would have been done. So what is this about? The focus of the institute is on the design development and deployment of interactive intelligent systems embedded within communities abusers for long periods of time. If I break that down for you, what I mean about intelligent interactive systems are interactive devices, anything from a smart home to a smart speaker, to a robot, to an entire ecosystem within a smart home environment. And so we're looking at all of these devices and the most important things that they interact with people at some level. And when they interact with people, we really envision these objects and devices as part of an imbedded in communities of users. This could be a physical community such as a factory. Write a smart factory is we're starting to see or have been seeing over the past decade. This could also be a much more distributed community, maybe the care network for an individual who need support. That could be their medical support team, that could be their family, their neighbors, their caregivers, and so on. So a very broad definition of what it means to be as part of a community of users. And the last piece is really over this extended period of time, the longitudinal component, taking AI from the interaction on the order of seconds, like Hey, Alexa could just set my timer, which is all I honestly ever asked my Alexa to do, to really meaningful collaboration and actual assistance from AIs. And the AI needs to, in order to do that, it really needs to understand the user to deeper level and so accomplish these goals. What are these AI systems going to do? First, we're going to learn longitudinal models of human behavior. They need to understand their user at a deeper level. That includes not only one-on-one interaction between the AI and the user, would also maybe teams of users understanding the relationship that drives the social interactions or practical interactions between these users. As well as interactions with people outside of this network of AI community. You know, we don't all have to have a cell phone from this with these AIs in our pockets. The AI needs to be able to interact with a broad community of assistance, helpers, caregivers, and so on. Once we can understand our users, we also need to be able to recognize and adapt to changes because we are talking about very long-term. They're going to be abrupt changes in behavior. There's going to be very gradual changes of behavior. It's very important to be able to respond and identify those. And ultimately the most important pieces to actually provide coordinated assistance through this distributed multiagent network. Now, let me pause for a second and talk about from a robotic standpoint. There are things here that are very, very robotics oriented. I'm talking about AI. This was an NSF decided to call these. This an AI Institute. I'll show you in a minute who our team is and you'll notice a lot of familiar names. The reason is because fundamentally this is very, very similar to a robotics problem. This is a robotics problem, right? We have devices embedded in the physical world. They can sense things and they can act. It's a distributed multiagent systems system. And so the types of research we're doing will include everything from task allocation, perception, task allocation, semantic reasoning, explainable AI, and so on and so forth. So a lot of very hot topics in the robotics area. For the AI Institute specifically, our main focus is support for older adults and their care network. Again, I work can apply to factories that can apply to other other in the wild applications. But the core mission is to study this problem of aging adults. If you're wondering why. Well, you've probably seen this chart at some point that shows the changing demographic of the US population. It's actually happening across many countries where we're moving from more of a pyramid shape to more of a pillar. And what happens as a result is that the ratio between people who need care and people who are able to provide care shifts significantly. And in fact, over 40 million people in the US are providing care for someone who's an older adult in their family in some capacity. And this is not only a significant financial effect on, on society, but also significant stress and burden. And it's not that we're going to replace these caregivers by any means. There's that number is not going to necessarily go down. It's just that we want to support them, provide support in ways to make their life easier so that they can focus on the positive aspects of care and less on, on the, the challenging kind of routine and stressful things like scheduling, who's going to go to appointments or things like that. I keep saying we, I want to say that I'm part of a very amazing team of researchers behind this effort. This is, like I said, it's an AI Institute, but if you read the names and know about the robotics community, probably more than half this team are actually roboticists, right? Reid Simmons leads the CMU Team. He's an associate director. Beth mine out from Georgia Tech's Associate Director as well. But we have other amazing or Bob says here For Lizzie Jodi for lyse who's actually in HCI person but does a lot of robotics work. Holley ENCO from us load, leads their team on metrics and unethical ethical robot behavior and so on. So It's, we've tried very hard not to be roboticists. And I think we've succeeded in telling NSF how we're not roboticists at all. We're just AI people doing AI bot. And they bought it. They, they, they, they, they gave us this and we are going to do a lot of AI, but we are also hoping that there's robotics involved. So up on the slides that Seth had at the beginning, the aware home flashed up at some point, right? This is a smart home we have over on 10th Street. We're hoping to use that as one of our deployment testing sites before we actually test things out in the wild. With actual homes. There's over a 100 homes that we have access to across the nation. It's unlikely that we'll deploy robots that particularly many of them are focuses on AI. But again, it's not that far off as far as other partners. So those were the people who lead a lot of the research efforts. We have a large number of partners, both the government and a lot of government and industry folks and that, you know, some very familiar logos from a lot of familiar places. But also large kind of non-profits like AARP and the US Department of Veteran Affairs and so on that are helping support this effort as well. So that's it. I'm really excited about the institute that it's going to start in October. So we have an officially started the official kick-off is coming up. We're super excited to have that. I do want to mention that normally I'd be up here to tell you about robots in the work that my amazing students do here at Georgia Tech. So just to convince you I'm an actually a roboticist, I felt I had to have one slide showing off some of the videos from our students work in the Robot Autonomy and interactive learning lab here in class, where we work on a lot of robot learning, semantic reasoning, explainable AI, learning from demonstration. I may have multiagent systems more recently and so on. So lots of we do. I am a card-carrying roboticist, I guess, for those who are new, I feel like I have to say that. But to me, even as a serious roboticist that say I interested AI Institute is really interesting from that perspective because it's, it is like a very large robotic system that can sense many things and interact and act in many environments at the same time. So I'm excited about it from that perspective. The last thing I want to say is the reason I wanted to introduce the AI Institute is I think for many of you in the audience, your research may connect in some way the types of things that we'll be exploring. So if you see a connection between your work and something that we are planned to be doing over the course of the next five years, please come chat with me. I'd love to learn more about what you do and see if there's opportunities for collaboration. We're very open to that. Thank you so much and thank you for the tech support.