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K12 capstone project cheap capstone tesc looking for someone to do my course work on political science now ´╗┐well thank you giving this opportunity to talk about some of the work that I am doing in my lab I won't be talking about banking today I'm going to talk about how kids learn language and you know language is perhaps one of the defining features of the human species it's ubiquitous amongst its members its unique within the animal kingdom it is the medium for creating and transmitting cultural knowledge if an individual's ability to learn or to use language is impaired or lost the effects can be devastating so there's really a lot at stake in understanding how language works have children come to know of language so you would think we would have full answers to basic questions about how this all works for example why does a child learn certain words early in life and yet take much longer to learn others what is the role of parents and caregivers in that process this baby talk help does it hurt what about the structure of daily activity simple things like when in the day you hear speech how it relates to the activities you are engaged in as a child so the surprising thing is we don't have answers to these questions as a parent who is playing a lead role in that process with my own children I would hope that I could just reflect and come up with answers but in fact our ability to sift through memories and understand all the possible complex dynamics of the processes make it infeasible and so although it's happening over and over in homes across the world surprisingly we've got very little insight into the details of how it works and my interest is sort of akin to what happened with the creation of the microscope and other instruments that start to reveal hidden patterns and struck that are right there under our nose to do similar things to understand child development so what I have begun studying is how speech occurs naturally in the context of the home and building new ways to both capture these kind of observations and start to make sense of them and I'm going to tell you about a project which I can make up a number it's a 50 year project and we're four years in so it really is an early progress report so speech in the context and the rich context of everyday life at home gives us our made up first term of our effort and overall we call it the human speech own project so not only is this speech in the context of the home but quite seriously in understanding how language develops of course there are genetic influences on the process but there's also the environment you might call it the behavioral phenome as opposed to the genome and we're interested in starting to characterize and understand that so we're really talking about a new kind of data combined with new tools to make sense of that data and this is work in collaboration of many people just to highlight a couple my my wife and collaborator in this work rupal patel who's a faculty member in speech and hearing sciences at Northeastern University and filled the camp and Brandon Roy who are two key PhD students behind the effort and a number of other students and sponsors of the work are listed here so as you said in your introduction this is a personal project at least how it began so here's my home in Arlington and if you were to come to my house and look into living room it would look like this and if you look up you'd see a camera and a microphone embedded up there and the ceiling and if you look down there's an image of my wife and my son when he was three months old he's now a little over four years of age and up there on the corner next to light switch is this controller for this embedded home video recording system you can press the camera icon and the camera disappears we call this the ups button it's the anti TiVo button say or do something you want it wiped from the record hit that button and the diary note button something interesting happens you want to make sure you can go back and find it ok 9 of 11 cameras peering into our home so if I take you through a little tour a day in the life as we go from early morning sun through evening shutters opening and closing there's the crib my son in and out of naps kitchen dining room and so forth we going to get a little glimpse of what the data looks like and we began recording when my son was three days old and over a three year period we collected about a quarter of a million hours of multitrack data so you're looking at by a couple of orders of magnitude the most comprehensive picture of a child's development in a natural environment ever made but that's raw data and is all sorts of questions about what my son did and how the environment may or may not have influenced them are embedded therein perhaps some of you by now wondering about privacy there's a lot more I can say about this but suffice it to say that just like personal health medical records or financial records this data is essentially another form of extremely sensitive and private information and so we have evolved a variety of policies and technologies for how to protect the data and control who accesses and for what purposes so let me show you a little live demo I cannot give a talk without having at least one demo so what we're going to do is take a little sea tour of my house and I've got this little six degree-of-freedom video controller to fly around and what I just want to do is give you a sense of what this kind of rich data actually captures so we're going to reconstruct just a moment in time we actually have a very very complete record of really the first two years of life about 10 hours a day and I can just take you for a little tour for example there is my kitchen and we can this is just a lot of fun if this you kind of as a way to relive and we seem to have let's see just looks like we have a little resolution but we'll live with it and go over to my dining room and come over to the living room where you see there's my son and our nanny and we'll come back to him in a moment we go over to the kids bedroom and the guest room and we can actually kind of go down back down the hall and you can go downstairs and I can actually take the controls here and fly around which is my favorite part so if we come back to this moment in time now we can read some life into this model and sort of watch this moment in time play out so we've got we can sort of look around while he's doing this go over to the other rooms and find there's nothing going on and I think you got the idea so there is this ability to reconstruct with pretty amazing detail because we've got this high resolution video and in and on and on a go so let's let's come back to to the slide so the grand challenge here as i see it to make sense of all this is given this experiential record which spans these three years where a lot of language acquisition happened okay can we essentially create a machine that can step into the shoes of my son to some degree perceive acoustical and visually what he perceived and then take different models of learning of how a child might learn and essentially build machines that can re-experience my son's experience and then look at what the machine learns and compared to what my son did so it's a way of doing science by building machines that can replicate some human ability and a lot of our background my background artificial intelligence robotics pulls into this so that's nice as a as there's a fifty-year picture so what are we doing in our lab today what I'd like to do is take my remaining time to just give you a glimpse of some of the tools some of the things we're starting to see again really early preliminary view we do three things primarily we spend a lot of time visualizing the data looking for patterns by looking at it in new ways we transcribe a lot of speech as sort of the the transcript into the do my dnp capstone project guidelines University at Buffalo (SUNY Buffalo).

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