This week on the communicators more of our vest to las vegas and the Consumer Electronics show, which is one to the alarms trade shows in the world, about 200,000 people come every year to see it. About 47 Million People visit vegas on a regular basis. Heres more from ces. [inaudible conversations] [inaudible conversations] [inaudible conversations] [inaudible conversations] adelyn zhou, what do you do for a living. Im the i work for topbots. We focus on art terrible intelligence and Machine Learning. We help executives figure out what the Artificial Intelligence is, this technology, and, two, how to actually use it and apply it within their businesses. Host how do you define Artificial Intelligence . Great question. We define it as using computers or technology to reach human or beyond home levels of abilities, which its automating different processes or different parts of our lives. Give an example. So many. I mean, you can have Artificial Intelligence in something as simple as your music play lift or your netflix queue. It can be in your internet email system and filtering out spam. That Automated System is not a person theyre marking things that are spam or not but a computer algorithm using technologies like learning when a. I. To do that. And you can have Artificial Intelligence powering selfdriving cars, using vision and learning to navigate busy streets, or my favorite and one area that most people are excited about is with health care and using Artificial Intelligence to help doctors that are diagnosed skin diseases or peoples potential of getting heart disease. Can that Artificial Intelligence teach itself, can it go beyond what humans are capable of . Not yet. In our book, we actually spend two chapters helping people understand what a. I. Is. One of the most commonly misunderstood things and in the media right now theres so much actually fake news about what Artificial Intelligence is doing and can do. When you think about a. I. Its a spectrum of out mission. At the really basic hear you have really simpling what we call rulebased systems. If youre decision tree, its to say, you say a. , and then i will respond with b. Just automation. Its not really a. I. On the other spectrum is what we call artificial general intelligence. Thats where you hear about robots being smarter than humans, having super level intelligence capability. Were not there yet. Were kind of somewhere in the middle right now. Where Artificial Intelligence is concluding able to create, create music, create pictures and things like that on its own as well as a. I. Being able to learn. So starting to learn things but its definitely not there and cant have a conversation with, like, you are i can have and jump from, say, talking about sports one minute and then talking about the news and then talking about philosophy the next. Saw one of the Robotics Company here had a big sign that said sorry, but we cant take over for you. Was that do people feel uncomfortable with a. I. I think theres a large a mix of unknowns. A lot of people are not first, a lot of people dont know what a. I. Is, and we work with a lot of the leading, like, b level executives of Major Companies and this is kind of like this nebulous thing of what is a. I. , what is it people dont know. People dont know what it is, it becomes hard for them and you scatter getting scared. The hollywood movie industry doesnt do is any help by coming out with movies like terminator, and were not there yet. Were many years to go. The exact number of years, varies. If you ask any expert its anywhere from 30 to 40, 50 years to reach the terminator level, if at all. Who founds top boston. We founded topbots with two colleagues, maria and marlene. Holiday did you fund yourselves. We decided to actually be a real business and fund ourselves with clients. So we invested initially our own capital, but from then we decided that the best proof of a girl business is getting repeat clients and client work, and so were using that. What kind of business . The best size of business for us. We have been in venture businesses but wanted to be the real business so we have clients and we have its three women. Three women. So kind of unusual. What is the reception out in Silicon Valley . We have heard a lot in the news about women in Silicon Valley. The three of us have been in technology for most of our careers. I think for us were used to it. Even at cs, jumping occupy the plane and coming here, 80 men. You get used to it. You form partnerships with other women and other men who are very supportive of women, and you try to do the best work and be recognized for your work. Now, adly zhou you cooured to other book called applied Artificial Intelligence. What the theme. Applied Artificial Intelligence is how you actually use a. I. Today in your business. People dont actually know how to use the technology and make my business grow. So we found you have really technical books that are so technical that you and i, most people, would not be able to comprehend, and then you have books that are thinking, what will happen when he robots take over for what happens with super intelligence, for a Business Leader theres no handbook on how to actually apply a. I. To my business. How do i create a strategy, and how do i as a executive get buy in from the other parts of the organization to focus on something other than quarterly returns and focus on investing in a technology that will change our company. Were going to put you on the spot here. Cspan is a media company, we come to you and say, help us use a. I. Yes. What do you tell us . Well so many opportunities for you guys. So, first of all, we look at where do you have like, one, what are your core strategic goals. What are you trying to achieve witch a. I. . Theres no point in just using a technology for technology if you dont have a problem youre trying to solve or purpose that youre trying to reach. And so if youre trying to, for example, reach more customers and you want to understand how do i do that . That would be a marketing and sales question. So theres a lot of opportunities in that space. So, first, you would look at you can use a. I. To better find the type of customers or in your case, viewers recep tonight your programming could be looking finding correlations among different audience bases and finding out even though this person didnt a political junkie yet, hey has potentials based on other interests and then use a. I. Thats one way to find the audience. Another way ious can create, for example, an Facebook Chat bot. Might use it to deliver news to different to your constituents so they can chat with a Virtual Assistant. Youre like, hey, what was the latest bill being put up for vote, and this automatic intelligent agent can say thats bill has this sport and this type of probability of being voted on. These are the other things to keep in mind. That can be thought of like a companion or advice or help viewers understand what is happening in the government right now. How much does that advice cost . It can be super simple. There are, like can products you can use outside in plug and play, and if you have the technology, sometimes is i it can even be free. Or you can spend a lot of money doing a high integrated system, but i dont think cost it depends on your scope. Like any other technology, it can be anywhere from a coup thousand dollars to millions. Really depends on what youre trying to do. Adelyn zhou, what is your biggest concern and what is the biggest drawback in your view of a. I. . I think theres my biggest concern actually right now you talked about it the lack of diversity and creating these intelligence systems. So, fundamentally, Machine Learning is based on using a lot of data. So they look at data and find correlations and find help figure out and to create kind of their output. If youre underlying data is faulty or you collected dat in the wrong way, you can have biased outcomes. Then if the algorithms you use are not robust and are skewed or biased in certain ways, then your outcomes can also be incorrect. An example would be in the judicial system, there are now starting to use Artificial Intelligence to determine whether someone should have five year or tenyear sentence and using that and giving that to the judge and the judge looks at that to help make a criminal sentence. But if the data powering the likeliness of that candidate or person to repeat the crime, the recidivism rate, is based on faulty information, its like saying papers ethnicity or gender or age is more likely to repeat the crime, then the output of that would be an incorrect or faulty or biased number. So a person who maybe shouldnt have been given a tenyear sentence, should only be fiveyear sentence, got a tenee sentence instead. So depends on the people creating the algorithms and the data that this is not biased so you take into account all the different nuances of our everyday life. What about privacy . Privacy. I think thats interesting because it changes across the internationally. In europe its different and in china, everything goes. For us, as individuals, we do need to take into it consideration, how much private information we are putting out there. I think a lot of our data is being captured and collected, and these days data is considered the new currency within extreme learning, so with our own privacy we should be careful and guard it and also be cognizant and circumspect of Different Companies that are using our data and asking for the data and seeing theyre using it in a potentially justified way. You feel that the data protections offered today are the in the Regulatory Framework should be stronger, weak center do you have an opinion . I think its hard to say. I think its really depending on the American Public and what we want. I think the thing is, even of you have prior, stronger regular layings, people never read the fine print and people are willing to give up their information for convince, and so even with higher regulation, i think its very difficult if the public doesnt really care and that they want convenience but there should be rules and regulations in place to make sure the data is protected, that its not its being safeguarded and not being hacked and used, because our data is becoming our fingerprint and its our individual identities and we do need to protect that. Do you find, especially in the where maybe an older generation do you find different Attitude Toward Technology than with the younger generation. They dont necessarily understand a. I. But most people we talk, to smooth be might be a biased group theyre interested and want to figure out how their business can use the technologies. I think they realize that with google and amazon and all these Different Companies that their company in order to stay afloat and to it needs to embody these technologies. The problem is that they have Quarterly Financial goals they need to hit and yet theyre trying to invest. So they constantly have this i guess dilemma because these investments in a. I. Might not happen and drive throughure quarterly return for another quarter. Youre a hard mba or undergrad. Is thats veeroff for you . Ive always been interested in technology and how Technology Impacts our lives. Identity been start of startups and tech firms my entire career, so for me this is just the next phase. I love and what gets me up at night is helping me understand how these fundamental technologies can be used and applied in our life today. Im trying to translate between the soup super Technical Work and try to make it accessible to the everyday Business Leader so they can use the technology and improve our businesses. As someone in this business, what technology do you you regularly and how do you safeguard your own privacy . First, i have a sticker above my camera on my computer so if youre thinking about that, i highly recommend people to something that simple. Yes. A lot of times when you see very easily hackers can access your camera remotely. Even the pope on his ipad has a sticker that hides their camera. Yes. One facing you. The one facing you, yes. That is very simple. On the privacy side there but in terms of just making our everyday lives easier, one thing that a lot of people are starting to use is speech to text. If you love texting your friends and family, its actually so much easier to use speech to text and the technology, a. I. , can do natural language transcription and its gotten so good that sometimes you can use that to tex people instead. So that could be something simple you can try and use a. I. In a way to do that. On the workfront, we use different processes to out made our systems, our when we work with clients and things like that. So we use different technologies within that. Do you find when you work with nontechnology companies that the understanding level is lower . Absolutely. I think that it is a gradual progression and people are getting smarter about the technologies. If youre not interacting every day with it, youre like, where do i enstart . That whats fundamental goal with writing this book, to help give people an access point, way to start to really understand people who are not necessarily swimming in Technology Every day to understand what it a. I. And what are the ways it can impact their lives and businesses. Applied Artificial Intelligence can be read by the general reader. Definitely. Adelyn for the general reader and hopefully have framework and strategies they can actually use. Adelyn zhou, thank you for your time. Thank you very minute. This is the Consumer Electronics show in las vegas. More from our visit coming up. [inaudible conversations] [inaudible conversations] [tires screeching] [inaudible conversations] now on the communicators we want to introduce you to deep pew talla who worked for a Company Called nvidia. We started 25 years ago in 1993. Started as a graphics and gaming company. If youre a gamer, a pc gamer, over 200 million pc gamers now. And ten years ago we decided to do the same thing which gaming technology, god the gpu. Gpu is graphic processing unit, but the difference between a gpu and a cpu which is what powers our computers, is the cpu is a serial processor, a gpu is a many things. But gpu have one processor, gpu have thousands or tens of thousands or millions of thousands. So, its running many, many, many processes at the same time. We use the gp and basically ten years ago we started expanding beyond gaming into many computer for example, almost all of the top 500 computers are driven by Gpu Technology and the last two years, gone into many different markets, selfdriving cars, and you probably see a lot of the modern a. I. Evolution happening. Were right in the middle of that a. I. Revolution. Whats the generic definition of Artificial Intelligence and what your definition . I think Artificial Intelligence is many ways to look at it. The way i look at it is in the end, it is a tool, just like electricity. So you can use it just like electricity. Hundred years ago when electricity came about it was new, but every industry uses electricity. Theres no industry that doesnt use electricity. Right . So Artificial Intelligence is going to be the same thing. Its a tool that every industry is going to use. Look at the last three years, almost every industry that we know is being transformed by Artificial Intelligence. So give you an example. Think as a consumer, all of us use iphone or android phone, doing an google or siri or alexa. All of those are using Artificial Intelligence. When you request a queriry, the queriry is send from your mobile device to the cloud and then the Artificial Intelligence is running it and the Virtual Assistant is sending you back the answer. Thats how most consumers start enjoying or feeling Artificial Intelligence, since then its being applied to every industry. Selfdriving cars is a big example here. Smart homes. Smart cities. Robotics. Medical emerging where a. I. Can help detect images, process images faster than a radiologist can and basically augment as radiologist to basically get an idea of, okay, look at this and get a skins of the cancer is there or a problem there or not. So, in your title you are Vice President and general manager of autonomous machines. What is an autonomous machine. Any device that moves you can thick of an autonomous machine, like robots. Robots for manufacturing, used for inspecting bridges in rural areas, a video Security Camera that is going to be on a police car, for example, looking out for suspects or looking out for amber alerts. So anything that potentially a machine that is moving and if you think about it, all of them will be infused with a. I. So, today so far, have i used an nvidia proticket . Most likely have indirectly. If youre using a siri or using netflix immigration engine or facebook pictures, most likely youre using you wouldnt know it but when youre trying to type in recognize something, its going into the cloud, and th