Computer Vision News - June 2018

21 Guest: Jeff Clune - UBER which algorithm that will be. There are new arrows in our quiver or tools in our toolbox that the industrial community should be aware of that they can use to try to tackle the hard problems that they try to solve on a daily basis. Why is Uber interested in this kind of things? The short answer is that Uber has a tremendous number of fascinating, challenging engineering problems that can benefit from machine learning. Uber benefits greatly by inventing new state of the art algorithms to attack these problems. The more tools we have, the more capable we are to solve the problems we have. Machine learning will make many, many facets of any modern company better, including Uber. Also, why are you going to RE•WORK’s robotics summit in San Francisco to talk about these things? The summit is a wonderful opportunity to share the cutting-edge of research in machine learning and deep learning with the people out there in the industry looking to employ these technologies. One of the hardest things, if you’re in industry, is knowing what is possible and what is not. It’s hard to distill out of the hype of popular press articles, the things that sound really good, but aren’t really ready versus the things that you can take off the shelf now and mostly expect to help you this quarter on a problem that you are focused on. I think this is a wonderful opportunity to share with the applied machine learning community some new algorithms that we have invented and the research community has invented that they might be able to take advantage of this year. Would you like to share with our readers why you recommend they come to the RE•WORK robotics event to listen to you and other speakers? What has impressed me about the RE•WORK summit is how they marshaled some of the brightest minds in academia at the forefront of deep learning to share their expertise and innovations with the industrial community. The lineup of speakers is superb. Therefore, I would recommend that people come hear from the rockstars of academia about what technology they might not yet be aware of that could help their businesses. For a very long time there have been a lot of hype and hope surrounding artificial intelligence, machine learning, even deep learning, and especially robotics. All of those things have historically been very challenging to get working, but recently have started to actually work, not just in the academic papers, but in industrial applications and in companies. They’re being deployed, and they’re making and saving a lot of money. My guess is that most of the people who are attending RE•WORK are doing so because they are already convinced of that, but to the extent that there are skeptics, I would say that if you are not currently finishing, if not formulating, your artificial intelligence strategy, you may be left behind. This technology is working. It’s getting better, and you’ll want to be actively employing it throughout your company, or somebody else is going to take your place. Computer Vision News Guest