Sports


It's Sony AI vs. Facebook, Google

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Sony Corp. has launched Sony AI, a new organization to pursue advanced R&D in artificial intelligence. With this move, the Japanese consumer electronics giant intends to go head-to-head with Google and Facebook, competing for AI talent and projects, and targeting a much bigger role in an ever-accelerating global AI race. The new organization will be worldwide from day one, with research sites in Tokyo, Austin, Texas, and an unnamed city in Europe. Sony AI will formally start operation next month. Hiroaki Kitano, president and CEO, Sony Computer Science Laboratories, Inc., will run Sony AI globally.


Baltimore Ravens launch 'FlockBot' virtual assistant - The Stadium Business

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The Baltimore Ravens NFL American football team has introduced FlockBot, a new virtual assistant that gives fans the chance to ask questions about M&T Bank Stadium. FlockBot – which the Ravens stressed is not a real person – will be contactable 24 hours a day, seven days a week. The service will be accessible through the Ravens Mobile app and via the Contact Us page on the team's official website. Fans will be able to ask FlockBot what time M&T Bank Stadium opens on a specific game day, or where they can find a specific food item at the venue. The service will give an immediate response and, if necessary, connect fans to a real person who can provide extra information.


AI Delusions: A Statistics Expert Sets Us Straight

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Walter Bradley Center's director Robert J. Marks was joined for this week's podcast by economics professor Gary Smith. This episode, When I Nod My Head, Hit It! And Other Commands that Confuse AI, explores the fact that computers don't have common sense. Which means that as data gets larger and larger, nonsensical coincidences become more probable, not less. Smith, the Fletcher Jones Professor of Economics at Pomona College, is the author of The AI Delusion (Oxford University Press, 2018).


One Genius' Lonely Crusade to Teach a Computer Common Sense

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Over July 4th weekend in 1981, several hundred game nerds gathered at a banquet hall in San Mateo, California. Personal computing was still in its infancy, and the tournament was decidedly low-tech. Each match played out on a rectangular table filled with paper game pieces, and a March Madness-style tournament bracket hung on the wall. The game was called Traveller Trillion Credit Squadron, a role-playing pastime of baroque complexity. Contestants did battle using vast fleets of imaginary warships, each player guided by an equally imaginary trillion-dollar budget and a set of rules that spanned several printed volumes. If they won, they advanced to the next round of war games--until only one fleet remained. Doug Lenat, then a 29-year-old computer science professor at nearby Stanford University, was among the players. But he didn't compete alone. He entered the tournament alongside Eurisko, the artificially intelligent system he built as part of his academic research. Eurisko ran on dozens of machines inside Xerox PARC--the computer research lab just down the road from Stanford that gave rise to the graphical user interface, the laser printer, and so many other technologies that would come to define the future of computing. That year, Lenat taught Eurisko to play Traveller. Doug Lenat says his common-sense engine is a new dawn for AI. The rest of the tech world doesn't really agree with him.


Predicting balls and strikes using TensorFlow.js

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D3.js, and the power of the web to visualize the process of training a model to predict balls (blue areas) and strikes (orange areas) from baseball data. As we go, we'll visualize the strike zone the model understands throughout training. You can run this model entirely in the browser by visiting this Observable notebook. Today's professional sports environment is packed with large amounts of data. This data is being applied to all sorts of use cases by teams, hobbyists, and fans.


Professional Services: Collaboration and the Future of Work

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The bigger your company, the more important it is that every team member is on the same page. When you're as big as Genpact, with 90,000 employees and twice as many partners, then collaboration is a top priority. Sanjay Srivastava is well aware of the challenges. As Genpact's Chief Digital Officer, he is front and center at the effort to make sure the disparate teams and employees within the company are working successfully in a collaborative organizational culture, as well as offering a satisfying customer experience. For Sanjay, there are three main factors that need a strong collaboration platform within a company. It starts with the idea of the business as a connected ecosystem that drives a collective intelligence. Then there's the concept of continuous learning and innovation that requires a collaborative framework to be successful. Finally, there's the convergence of domains, the ability to pull people together from different disciplines, with different experiences, and across ...


Neural Networks in Deep Learning

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We'll explore what neural networks are, how they work, and how they're used today in today's rapidly developing machine-learning world. Before we look at different types of neural networks, we need to start with the basic building blocks.


Leon Katsnelson on LinkedIn: "I don't do Fantasy Football but if I did, I would probably look to #AI to give me an unfair advantage. #watson #datascience #machinelearning "

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I don't do Fantasy Football but if I did, I would probably look to #AI to give me an unfair advantage. Winning in Fantasy Football with help of AI? See how the experts @IBM built ESPN's Fantasy Football Application at the Digital Developer Conference: AI & Cloud https://lnkd.in/eh4nY4a


Chatbot vs. Live Chat: Which is Winning Customer Service Game and Why?

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The last time you were on a live chat, was your question answered immediately, or did you have to leave an email address and wait for them to get back to you? More than likely, you had to wait. It's very annoying when you need a quick answer but you can't get it. You may leave to find other brands, or perhaps you'll send an email, expecting a prompt reply -- but end up waiting 48 hours. Live chat is an awesome technology.


How can AI help make our roads safer?

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What does a fully autonomous, electric, high-performance race car have to do with the United Nations Sustainable Development Goals (SDGs)? For starters, the vehicle, developed by Roborace, is providing a testing ground for new efforts to build public trust in how next-generation vehicles could improve road safety and reduce the 1.35 million annual road deaths worldwide (SDG 3.6). Increased use of autonomous, electric, connected vehicles could also reduce emissions, improve traffic flows -- and provide affordable, safe and sustainable transport systems to underdeveloped nations (SDG 11.2). But how do we go from race track to the road? A panel of experts – Bryn Balcombe, CSO at Roborace and Founder of the Autonomous Drivers Alliance; Lucas di Grassi, Formula-E World Champion and CEO at Roborace; and Fred Werner, Head of Strategic Engagement at ITU's Standardization Bureau – met at Web Summit 2019 to discuss how AI will make our roads safer, and how ITU is helping lead the charge.