 Live from Las Vegas, it's theCUBE. Covering InterConnect 2017, brought to you by IBM. Okay, welcome back everyone. We're here live in Las Vegas, the Mandalay Bay for IBM InterConnect 2017. It's theCUBE coverage. I'm John Furrier, my co-host Dave Vellante. Our next guest is our famous CUBE alumni, Tanmay, back to theCUBE. Now you're a cognitive developer and your new business car as part of the Darwin ecosystem says, Algorithmic, Algorithmist, Algorithmist, Algorithmist. Yes, welcome back. Thank you, I'm very glad to be back on theCUBE. And yes, of course, as I said, I'm working on many new projects with artificial intelligence and of course IBM Watson, including ones that are provided by Darwin ecosystem. And of course we're working on this really interesting project called a cognitive story, which you will be seeing more about on my talks on Tuesday and Wednesday. And the cognitive story is basically this collaboration between IBM Darwin ecosystem, not rocket science and me. So basically we're working towards really using the power of cognitive in order to change people's lives in a positive way. So that's what I'm doing at the Darwin ecosystem generally with IBM Watson and AI. Last year we had a great chat. I remember talking about algorithms, the software, super fun. What's changed in the past year? Give us the update on you and two, what's changed in the code? Definitely. What are some of the things you're working on? Yeah, sure. So since last year, first of all, a lot has changed. A lot of new trends have emerged in the general topic of technology, like cyber security, something that people are starting to take a lot more seriously now with things like AI and IBM Watson starting to be incorporated in with that. And of course though, really from my side, what I've mainly been doing is not, I've actually started to work not only with IBM Watson's cognitive abilities and not only the cognitive capabilities provided by these services, but also my own custom services powered by neural networks and other machine learning algorithms. Just for example, the cognitive story is powered by my own custom coded neural networks and that's why of course I've been given the designation of Algorithmus because I love to work with algorithms, find to them, and of course design them. So that's actually what's been going on for the past year, but mainly I guess you could say now my real focus is on how we can use artificial intelligence and cognitive computing in order to first of all amplify and really augment human capability and of course how we can use it to change people's lives in a positive way, especially in fields like healthcare where we can save people's lives with this technology where we can make people's lives easier with this technology, just for example, what IBM Watson is doing for people with autism and how it's helping them with the applications that it provides, what IBM Watson's doing for the elderly in India with the new Chintu robot that IBM Watson is creating and so much that Watson's doing with healthcare, that's really what I'm focused in with cognitive computing in general. What are some of the algorithms that you've been working on, what's the intent? Sure, well I've actually been working on a lot of different algorithms, mainly in the AI space and of course how we can create neural networks to understand brainwave patterns and you'll be seeing more of that on Tuesday and Wednesday with the cognitive story. But I've also been working of course on algorithms that I've already created, as I said, Ask Tanmay, you probably remember that from last year, the NOQA system, I've been working more on Ask Tanmay and in fact in June, in Developer Connective last year, I actually open sourced Ask Tanmay so of course I've been working on that, improving it about to release version three, which is really fun and of course since it's open sourced, I love to share my knowledge with this code so other people can learn from it and learn how to use this type of AI technology in their own applications as well. As a young next generation mobile, software mobile that you'll soon be, you're already one now, but you're still young but you've got a lot more ways to go but you're living in a great time because I wish I could be your age right now because machine learning is really hot right now and it's growing because of the cloud. The cloud gives you scale and compute power and there's also a cultural vibe going on around social good. So talk about machine learning, what you're excited about there specifically and some of the things that you see from your generation of developers around this desire to provide social good. Yeah, definitely, well I guess we should start off with really my main focus of interest in fact, as you said, are really cloud computing, cognitive computing and IoT because in their respective fields they are the next level of computing and in fact we're already starting to adopt them. Cloud computing has already been adopted on a huge scale, cognitive computing, we're getting there and IoT is again starting to be accepted by a lot of different people. And you might not even get a driver's license because by the time you get your driver's license you're going to be autonomous vehicles. Exactly, exactly. So of course IoT is being used everywhere and so is cloud computing and cognitive. And so really what I've been focused on in the past year is first of all trying to get developers really interested in cognitive. But as you said, developers are really interested in doing social good with these technologies. And just imagine this, what we're doing with the cognitive story right now is we're basically, for example, I can't of course go into too much detail about this right now yet, but we are basically taking this cognitive services and we're allowing people who don't have the natural ability to be able to express themselves or communicate or move in any way really, to be able to express themselves and make their and communicate their decisions and communicate their emotion or whether or not they're comfortable and more through this cognitive system. And of course that's why it's so interesting because imagine, if you can't talk, imagine you know that, okay, I want to do this, but you're unable to express that, you're unable to communicate that to the people around you, that means you're quite literally trapped in your own body and having cognitive computing able to come in and allow you to communicate and create your own, I guess you could say, unique language using these brainwave patterns. That's something that I absolutely believe is I guess you could say the greatest gift ever to be able to give you the ability to communicate through artificial intelligence. That's really why I love working in the healthcare field. Now, am I right? You've written a book? Yes, actually. And it actually started from Last Interconnect. Last Interconnect I started and now I'm actually done writing my book called Hello Swift, iOS app programming for kids and other beginners. And it's actually currently available for pre-order on the publisher's website as well as lots of other bookstores online. And of course the final hard copy will be released soon. But basically this book is really targeted towards getting the youth and really kids interested in programming and specifically iOS programming through Swift. And of course, as you know, Swift is open source and I really support open source software. What are some of the cool things that young kids want in software these days? Because there is a lot, like I said, there's a tool chest of great stuff coming on, like composable software, Lego blocks, which people call Lego blocks. What are some of the cool things that kids want these days? Well, there are a lot of things. But I actually like to highlight the main way that I like to get the youth interested in coding. And it's by showing them something that they find really interesting. Like for example, something that they see in movies a lot. Like for example, artificial intelligence is the absolute perfect example of how you can have something like artificial intelligence that can get kids interested and the youth interested in these technologies like programming in order to start to get them programming because of course we need them to be very future. Well gaming and AI are too like sci-fi as AI, kind of it's cool, futuristic. And then gaming also is very interactive, immersion based. And in fact, that's why a lot of companies are starting to merge AI and games and of course virtual reality. Virtual reality is something else that kids and really everybody is really interested in nowadays. And in fact we are taking these AI technologies and incorporating them with these other technologies like gaming, with the virtual reality, augmented reality, mixed reality. And we're trying to create this really interesting mix especially for kids. And also one more thing here is that not only are we doing this, AI is so diverse, it's all around us, it's on your phone, it's on your smart TV, it's in your car. And that's really why we should be showing the youth that this is all around us, we need to start adopting these technologies. So last year I asked you the question, take us to the day in the life of 10 May where you had a discovery. So let's play that back this year, give us a time this year where you had a discovery, it could be super cool or maybe just a breakthrough in some small way. Sure. That was notable that you'd like to share. Yes. And it actually happened recently. And again, I'm going to take this back to just a few weeks ago actually, when I started working with, I mean I had actually been working with my own custom machine learning algorithms for quite some time since, just after last Interconnect actually, I started working with my own custom algorithms for machine learning. But a few weeks ago, I actually started working with those custom algorithms in the healthcare space. And one application that I created that I find actually quite interesting because of the capability it has to help doctors, and I'll tell you this in a moment, is that it's an application that can take 69 attributes about any patient, okay? And it can actually tell you if they have a hearing disorder and if so what's their hearing disorder. And the reason this is so great is because this can be of great help to audiologists, for example. And in fact I am actually in communication with an audiologist from the UK and I'm actually collaborating with him to try and see what this could hold in store for the future of audiology and the future of healthcare in general with artificial intelligence. Apart from that though, the Cognitive Story is another great project where of course I'm trying to combine machine learning with these extremely powerful capabilities that Watson provides in order to create a great mix in order to help people express themselves even though they don't have the natural ability to do so. So Tim, obviously you are a big supporter of open source. You said earlier you open source some of your algorithms asked handmade. What's been the response? Have you had contributors? Yes, actually. And that's the greatest part about open source because now the thing is, you see, let's just say there's some issues with Asked Handmade, this is general open source stuff. But now Asked Handmade is really, I guess you could say evolving much faster than I could ever have programmed it because there are many people coming to me collaborating with me, helping out, submitting issues, pull requests and more. And with Asked Handmade, especially now I'm actually about to release version 3.0 as well because I was able to get that help from the community. And of course, because of that, not only does the community help me, but I'm able to help the community by sharing my source code so that they can learn from that and build their own QA systems on top of it. Awesome, so give us the report card on Bluemix and Watson. And be fair now, I know you're IBM champion. Yes. Now IBM Bluemix and Watson, I can tell that especially Watson, it has evolved a lot since last Interconnect. Of course, the new services that they're providing like the natural language understanding, service and more. And really what I believe is that not only are they providing these new services, but they're also improving their existing services. Like the visual recognition service, how they're doing the image similarity, how they're improving their default classifier, how they are merging it with the alchemy vision services in order to make it even more powerful. And of course the new live training features that they're incorporating into visual recognition, how they're improving speech to text. And they're generally taking all of these Watson services that already exist and making them even more powerful so developers can really leverage them in their applications. Apart from that though, IBM Bluemix has been going great as well with the new services it provides, especially from SoftLayer. Of course, Bluemix is going great, Watson, it's been rapidly evolving as well. And let's get your IoT watch on, the Apple iWatch. I'm going to do some stuff with IoT. What are some of the wearables you think that are needed right now? Because we have the founder of Indiegogo on. We know the success of the crowdsourcing is. There's a lot of tinkers and inventors out there who now can be up and running. So we're expecting to have a big maker culture growing exponentially around new stuff. Exactly. So what do you see that's needed from your generation? Chip and plant and the brain, what's going on? Well, of course. What would you want? Well, in terms of, I guess you could say wearables. There are a lot of different things that people are doing with wearables, including virtual realities. One of the main things that I believe is I guess you could say the most trending topic in terms of wearables. Of course, watches, we've got glasses now that they're creating like a Microsoft HoloLens and all of these different products that are focused around basically being able to, I guess you could say, run, have these technologies available on your body, on yourself quite literally, and to make it so easy to use. And really what I believe is that one of the main things that's really going to power these wearables is AI, artificial intelligence. Like for example, even the Apple Watch has AI features in it. I mean, all virtual realities powered by artificial intelligence as well. And without that, it becomes extremely hard, if not impossible, for people to code in things like virtual reality. So what I believe is that we need, I guess you could say more adoption to these cognitive technologies, and we need people to adapt to it in their everyday environment and really accept that it's all around them and that it's going to be extremely hard to live without it. And of course, we need to start getting the youth involved in these technologies for them to be prepared for that future in which cognitive computing is everything. And in fact, cognitive computing isn't just the future, it's the present as well. And that's why we need to start getting prepared for it and that's why it's all around us. John was joking earlier about, you know, you getting your license. You're 14 now, is that right? 13 actually, about to be 14 in October. Okay, so soon to be 14. So you'll probably get your license and still be able to drive in two years. We're not going to have totally autonomous vehicles, but what are your thoughts on that though? You know, what's the driving age in Canada, 16? Yes, I believe 16. Okay, so 16 years old, it's a symbol of freedom. You get autonomy, you know? And what's your feeling about, you know, maybe the next generation and them inheriting autonomous vehicles and not having, you know, the stick shift to drive like when we were kids, that we all learned on a stick shift. But what do you sense that? What are your colleagues and your other friends say about that? Sure, so now driving, self-driving cars is something that, you know, is already being worked on heavily actually. It's a big research topic. Tesla, huge company that's really working towards, you know, self-driving cars, autonomous cars. They've already got like half of that done. They just need to work on the rest half. Of course, we've also got Google working on their self-driving cars and so many other companies who at least aren't creating self-driving cars right now or, you know, most are actually starting to work towards self-driving cars, including Uber. In fact, Uber's creating those self-driving taxis that can take you around the city without you having to actually have a driver. But the thing is, what I believe is that this AI technology is powerful enough to be able to, you know, work with these, you know, autonomous vehicles and more. It's just that there are a few, I guess you could say, rough edges that need to be worked out with these technologies, which I believe can be done. It's just a matter of time before we are able to get, you know, completely autonomous cars on the road. It's just that, you know, there might be a few issues with like the ethics of self-driving cars and like, you know, that's an entire topic on its own. That would require an entirely separate interview. But, you know, generally I think autonomous cars, that's a great place to go with artificial intelligence because that could completely eliminate or at least significantly reduce the amount of, for example, human error there isn't driving. And of course, get you around traffic faster and generally maybe not even have traffic jams. There's just so many advantages to having autonomous cars. And of course, that's why Cognitive Computing is all around us. So AI is hot, IOT is hot, you're hot, you got a great, great fan base. We know that from last year. The reaction from our audience was spectacular. You almost won our Cube Madness Competition because you retweeted all your followers or all your YouTube followers. Congratulations, great to see you. Come back on theCUBE. Thank you, it was great to be on theCUBE. Okay, back more from theCUBE Live here in the last space where IBM Interconnect, AI, Cognitive Computing, Collective Intelligence, all the data here on theCUBE. We'll be right back with more after this short break. Stay with us.