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i work for another company at that time was an advocacy, a lobbyist like an opportunity working campaigns. i worked on capitol hill, or for governor and are the pleasure to work for a company and i really think it makes contributions to society. >> host: microsoft seems to be researching. is that a fair assessment? >> guest: from my perspective i think we've always been kind of flying high and doing some outstanding things. i think it's been an exciting time with -- microsoft what

comes to the cloud we want to be unintelligent edge of one of our missions is to empower persons and organizations on the planet to achieve more. i think you'll find today as you go to different displays we have 1212, with microsoft research since 1991. what you're going to see as result of drone, such as, some efficiencies of help make a difference for farmers and also using tv white spaces which is something the sec is looking at. to help farmers to be more efficient and effective and as a result also be able to do things cheaper. you'll get to see intelligence vehicles to augment reality. you'll see a lot of things when you walk around that have a societal impact. it relates to the cloud, relates

to efficiency, relates to a and the internet of things. >> host: it seems there's a big investment by microsoft in ai. a lot of these displays are about artificial intelligence. >> guest: it's something for us we've been focused on for a while. had the opportunity i think to meet the leader in ai technical fellow in our microsoft refers to talk about it it's the future. that's what you'll see here today. future technologies that on horizon. >> host: we will walk in just a minute but one more issue. cybersecurity, what would you like to see congress do? >> guest: on the cyber side, we really need a lot of wor worn which the rules of the road, what's the framework on how we look at cybersecurity. i think congress, whether it's

by partisan support on, i think the trump administration is looking to focus on that as well. we look to respect as well. one of the things that's very, very important as we have these different cyber issues when it comes to viruses or malicious software. it's always important, right? but when you get a little pop up that says hey, you need to do an update, cyber hygiene is very, very critical for all of us, as well as for companies to make sure they're doing their part to protect their software and their technologies on the cyber front. >> host: when brad smith sent out a blog post talking about government should not be stockpiling vulnerability. what does he mean by that? >> guest: i think it speaks for himself. everybody needs to be responsible when it comes to

cyber aspects. when things, unfortunately, are available on the web, sometimes you have bad actors out there and so you need to think about what you are keeping, and that needs to be protected. i just think on that one, on the stockpiling, i think it speaks for itself. >> host: fred humphries come, you're one of the big five, 66 that companies. do you work with the other big tech companies, washington offices on a regular basis? >> guest: absolute. we work with not just the tech companies. microsoft has a lot of partners, it's a big ecosystem but we do work with the big tech companies and we work with them on interest from ai, if at some privacy, cybersecurity, if it's from autonomous vehicles,

drones, whatever, different public policy issues. we are constantly working with them. still the protection of intellectual property, trade, and those type of issues. what you find is there's a lot of public policy agreement when it comes to the tech industry. and then on the business side we all do what we need to do to be competitive and to advance and expose people to our technologies. i would say there's really a lot of harmony among the companies when it comes to public policy. >> host: have biggest microsoft today, do you know how many employees? >> guest: about globally 118,000 employees. >> host: fred humphries is a vice president of government affairs at microsoft. they keep for your time. >> guest: thank you. >> host: "the communicators" is at the washington, d.c., office of microsoft for their annual tech fair, now we are the farm beach booth with ranveer

chandra. what are we looking at? >> guest: here we are presenting a project called farm beat. the goal is to solve the world's food problem. we need to feed the growing population. how to do that? given the that of land is the same, how do you recommend private conscious why? in order to do that we look at the solution. previously people have been looking at this problem. for example, data-driven agriculture, these examples, the edgy about precision agriculture is instead of treating a promise of modules you treat the farm is heterogeneous to what that means is you apply water only where it's needed when it's needed where it's needed. you apply fertilizer only where it's needed, as this is only what is needed. you can plant seeds close together.

all the stuff is -- >> host: artificial intelligence and uncle ted to do agriculture, how do you use those to improve farming? >> guest: outcome to that. in precision agriculture we need these. we need to be able to build water maps like how do the nutrients vary from the farm? how to build these kind of maps? existing approaches to build this are very expensive. they cost like, the cheapest sensors were five sensors for $8000. for a farmer to invest a kind of money, it's asking too much. the goal of this project is to reduce the cost of precision, data-driven agriculture by two orders of magnitude. from 800 8000 we want to get doo eight. we talk about different innovations. the first one is about connectivity. most of these arms are known midwest, in order, the recent descent is so expensive is

because they use satellite to send all the data. that is very expensive. instead will use is in the technology called the whitespace. suppose you have a device at home you plug it into your house. if you can access a few miles away, how do we do that? the way we do that is by sending wi-fi signals in tv channels. for example, you see channel it or something going on, satellite is free. channel tender something else going on. in channel line we can send these wi-fi signals without interfering with her tv transmissions that are happening in channel eight or nine. the reason this is so cool is because these are lower frequency. the same power level of wi-fi. your signals could go four times farther. this is an free space. your signals could go even farther.

the interesting thing about agriculture is in the farms which are away from the cities there are a lot more empty tv channels, fewer people so there's more empty tv channels. like if you have 40 tv channels are talking more than -- what you can do is wi-fi connector house pick the vision is the tv whitespace can connect your farm. you plug it in and the entire a few muskets connected. >> host: what are some the things the farmer can do? >> guest: the other things is where merging drone dated with sensor data. you don't need, for example, usually we can do this kind of map, you put one every ten m break this approach you can have a few centers, merge it with the drone image and be able to do this. the other thing is we're doing everything writing here, it's running on a pc in the farmer sells. we don't need to ship all the data from the farm to the cloud.

we could be sending drone videos, get deep learning that way. this is trained on cows but using this deep learning, just learning on that pc. it's not running in the cloud. this is all local computation. all of a sudden we are bringing down the cost of an entire system requiring fewer centers by using the tv white spaces instead of satellites, by running a boy in the gateway rod that should be obligated to the club. you are doing machine learning, deep learning. the kind of things were doing -- >> host: before you get to the deployment, why is it important we know these are people, somebody's wearing a tie, some cows are running around? >> guest: in the context of cows, if you have these you can monitor whether there's an attorney, how the cows are doing, where some cows are static, so all that, you can do counting. are you missing some cows? all that stuff can be done using

this. this is just for demo purpose. >> host: all right. try to going back to the deployments as we see walking to the kind of scenarios we have to these are some of the diplomas, three deployments. they kind of insights we can provide are, for example, this is a four-kilometer stretch. the cows are out of pastor. this is where the cows are. this is a stray cow that needs to be heard in. this is again using drones we can collect all this data. we can flag this moisture map. this part was moist without having a sensor, if we didn't have a central using machine learning ai approach we are able to come up with these dense sensor heat maps. this is after the farmer applied to line. this needs to be fixed. once we get out to the farmers, the farmers use this for storage

monitoring. the food produced in combat. the last one is of course -- there are many more scenarios that we are running. >> host: are these being used in the real world today? >> guest: we are working with farmers, with partners on getting this deployed. we have to live deployments, three. we're stretching, document or people. there's there's a lot of interest because what this is as a complete end to. we can adjust the data from sensors, drones, cameras and provide useful services. what services would provide the specific to the farmer. we are working with each one of them to see what's the most beneficial thing done what is your background? >> guest: i have a phd in computer science from córdoba to did go up in the farm growing up.

going up in india every summer, four months a year of its been in the farm in india. i've seen farming in india, and eventual goal is somehow we can benefit the farmers, able to do something for them, to the back to them, make the more profitable. >> host: this is the farm beats display at the microsoft tech fair. and jaime burke s, what is cognitive services? >> guest: cognitive services is our collection of the microsoft brain that fits in aquatic and very specific task. so they can do things like face detection, vision. if you look over at the public website there's a list of all the services we released even in preview. we are actually pushing all these functions out as soon as it's ready to really empower them. we can see there's a group of

vision, api seeking his face detection or motion detection, speech, text, translate and is incredible. at the end of it people have the habit every time microsoft would use text, the language is irrelevant. they can be translated into any language now. this is a really -- >> host: is microsoft tool available to everybody? >> guest: yes. it's all-encompassing technology for our cloud software service and a platform. a number of our technologies live in the cloud. we can call upon these and essentially these are all very easy to set up. to give an example and a second, there are available to give leaves on a public website. you can try this very, very easily just with an outlook account for example. here's a simple example of what

of our -- of one of our cognitive services or i want to search for things to do in d.c. i found a website that is publicly available on the city. it pulls up this website. have i ever read an essay q? what i've done is i grabbed that, go to her q and a simple login putting in the url, it's captured or i'm not edit in any format. it's captured the question and answers. you can see all the text of the questions and answers. this is what it would look like if i publish it to the persons website. i can ask questions here, and i -- it will go off and find the answer and present it to be just like that. the whole process of grabbing a website or uploading a document introducing this q&a process is

about two minutes it took me. websites like that can use benefit of this technology and they start trimming down the questions. for example, it could be how can i tour the white house? what time is white house open? this is a simple example. >> host: is thei there artificil intelligence what you just did? >> guest: there's a bit of ai more towards machine one aspect. what i can do in the corner is at other ways to add questions, pick my example which was can i tour the white house? i could answer would be possible to wander around the white house? the giveaways of context i would ought to ask the question and that's what machine learning aspect comes in to offer the same solution to budget of the questions. >> host: let's work her way down to see what else microsoft has in the way of cognitive services. >> guest: another example is this the indexing service. this is really useful technology if you'r your criteria video yot to go to deliver to the masses, with the estate presentation or

a discussion. this is our ceo pick usually change the openness of our companies. a lot of things are yet to be fully released. we're still showing the route to the public so we can learn from the. what this is doing is recognizing faces some of you. it's recognizing the sentiments so we see other deliver it, whether it's positively delivered or negative delivered. this is scott guthrie who, it is recognized the face and you can see the dna looking for what scott is talking. from an accessibility standpoint what i want to create these videos i want to create a transcription because people may be hard of hearing what you may want different language. what it's done in the one hour video when i upload it, it took 50 mystical to the process and

atoll written that in text. as i mentioned before before whatever we're text, you can think of it as language irrelevant. i can very easily click on any language. tyvoltaiwan just to go back, yod a gentleman up over here, mr. humphries, scott guthrie was his point is he's not the speaker? >> guest: he's one of the speakers from the group us because we are talking. enforcement is taking a little while, while, is this connected to what we are doing. >> guest: no. that's just the conversation around 2017. it's taken a little longer. >> host: are right. >> guest: thi this is a bit of fun. let's say what if i were supermen? get ready to stand in the middle.

here is what you look like if you were supermen. the interesting thing is everyone is happy it's like we are now and laughing, if everyone is sad, frowning, the box is like that, gets upset that you don't like -- >> host: all right. >> guest: the technology behind that is pretty impressive. it knows who supermen is and knows it's taking a photo of your face and then superimposing it over the face of superman. >> host: you have your agent detector. >> guest: this is more than agent detector. first of all, you know so it is completely anonymous, no names or anything but i can train the model to add people like this chap here. there we go, harrison ford. also i can add myself and is will and knows william because i've trained a model. i got into the settings and i've added in my name. >> host: it makes people older

than they are. >> guest: sometimes to be on the lights come again. the interesting thing if you walk up and gives you low number, advocates happy and the sentiment goes up. in the real world where you would jesus is exactly this, you'd adolescent crowds if you have it and add enjoy take capture people sentiment and completely anonymously you could use. >> host: is there a privacy issue? >> guest: absolutely. privacy is one of our most important part as a security. we only would use this with proper signage and they would be informed for this is captured but it's anonymous. the interesting thing, the technology is capturing, human faces are very easy dejected what's it's doing is sending this bit of information on a round-trip to the cloud and gathering information online. sent to become my age endothelium based on that

setting. >> host: this information that you are and i are standing in front of, this is going out into the world? >> guest: not the world, the cloud. you can set this up, it's going to my set up into my environment. visiting a round-trip to might and i'm not scoring it. we are just for trying the anonymous at the bottom. >> host: when you are on your, jaime burgess, there was a percentage next to your name. >> guest: that's actually how actually it is portraying my age. even my neighbors will. they secrete the percentage is how close to the thing it is getting, it's a, stand with machine learning is you want to look at what it's trying to identify and accurately they can identify that. you see what i show harrison ford, 66%, 60% it is sure it is harrison ford. >> host: okay. i can, what's the use of this? >> guest: imagine i was delivering a speech or talking

to many people i don't want the analyst sentiments. if i have a new concept i want to lead to an audience and a talk about the concept, during the moment is difficult to get a feel come you're trying to deliver your message. what you can do is upload the video and see the summit of the speaker but not the audience. we had the new post technology that's built into one of our -- so people can vote online with emoji together aspect is i can faces to an audience and pick up their sentiments. if i was smart enough and i can also talk with an ap summit your i could have someone analyze the sentiments and be advised me what things to talk what if i'm losing an audience or if i need to gain their interest again. >> host: is a political speech element to this? >> guest: i could be doing a speech, anything where there were many people in the audience. >> host: jaime burgess of

microsoft picked this is a look at their cognitive services. thank you for your time. >> guest: no problem, thank you. >> host: kurt hunter of microsoft, what are we seeing happening right now? >> guest: we are showing 3-d printing. when does dan has built in support for 3-d printing so we're enabling the ecosystem much in same way we have in other computer peripherals like regular printing. companies that build 3-d printers can plug into windows and guys that a building application the want to 3-d print can use add that to the applications. >> host: through microsoft platform? >> guest: through microsoft. >> host: it's pretty mainstream anymore, isn't? >> guest: sure. it's fairly mainstream but it's becoming more and more accessible as a technology gets lower price point. people get get into india thing and there's innovation tapping on the high-end as well.

>> host: do you know what a printer like this would cost today? >> guest: the types of printers, what we call desktop printer, they range in price from say three, $4000 all the way down to like $200. >> host: what is your job at microsoft? >> guest: i'm a program manager and my team is responsible for building all of the technology into windows to support 3-d printing. >> host: what i was looking at on the shelf? >> guest: just a wide variety of different examples of things that were done with printing. some of them done locally. that's three parts. just eliciting different concepts. sort of three different ways in which you can get content for 3-d printing. one is you can find models online. there's a lot of different sharing types of models. most of these models are that example. some and much more clever than he actually designed that. another way you can create

content with 3-d print is to scan something, secant take a 3-d scanning device and skin summit and create a digital model. then a third way is to actually design it yourself. there are a bright and different software tools that allow you to design 3-d models ranging from entry-level, sort of basic tools although it up to high-end professional computer-aided designs. >> host: are we to the point where people putting 3-d printers in their homes as much as we did laser printer several years ago? >> guest: i think so. it really depends on your needs. i think of a 3-d printer as i can to shop toper if you have a need to have a table saw in your garage, similar kind of think if you have a need for creating 3-d objects and you might have a 3-d printer in your house. >> host: what is your background? >> guest: so i'm a software engineer by trade and i've been a microsoft for 20 years. i just think this is a fascinating technology. >> host: how user-friendly is

of this what we see on the screen? >> guest: what we are seeing is an application microsoft is grading call 3-d builders part of windows ten. represents an example of what us talking about an entry-level sort of computer design tool. it also allows you to prepare just about any digital model for 3-d printing. >> host: can somebody scanned a picture into that and make a model of it? >> guest: absolutely. that's how i created that example. >> host: thank you for your time. >> if you like to see more of c-span's communicators programs go to c-span.org and look under the series link on the homepage. >> c-span, where history unfolds daily. in 1979 c-span was great as a public service by america's cable-television companies and is brought to you today by your cable or satellite provider.

>> when you think about a one-day festival, the national book festival, and you have over 100 authors from children's authors, illustrators, graphic novelists, all of these different authors, over 100,000 people come in and celebrate books and reading. you can't have a better time i think. and i'm little prejudiced because i'm a librarian but i have to tell you if any reader anybody that wants to get inspired, the book festival is the perfect place. >> booktv's live all they covered to begin saturday featured authors including pulitzer prize-winning authors david mccullough and thomas frieden, former secretary of state condoleezza rice, best-selling authors michael lewis njd vance. the national