Humans are unique in their ability to learn from, understand the world through and communicate with language… Or are they? Perhaps not for long, if Dr. Layla El Asri, a Research Manager at Microsoft Research Montreal, has a say in it. She wants you to be able to talk to your machine just like you'd talk to another person. The hard part is getting your machine to understand and talk back to you like it's that other person. Today, Dr. El Asri talks about the particular challenges she and other scientists face in building sophisticated dialogue systems that lay the foundation for talking machines. She also explains how reinforcement learning, in the form of a text game generator called TextWorld, is helping us get there, and relates a fascinating story from more than fifty years ago that reveals some of the safeguards necessary to ensure that when we design machines specifically to pass the Turing test, we design them in an ethical and responsible way. Layla El Asri: In a video game, most of the time you only have a few actions that you can take. You just need to learn when you should go right, when you should go left, when you should go up, when you should go down. But when it comes to dialogue, you need to learn how to make a sentence that is grammatically correct, and then you need to learn how to make a sentence that makes sense in the global context of the dialogue, or a sentence that brings new information in the dialogue that is going to make the person you are talking to satisfied with the sentence. Your action space is just huge because it's not just up/down, right/left, it's all the sentences you could imagine! Host: You're listening to the Microsoft Research Podcast, a show that brings you closer to the cutting-edge of technology research and the scientists behind it. Host: Humans are unique in their ability to learn from, understand the world through and communicate with language… Or are they? Perhaps not for long, if Dr. Layla El Asri, a Research Manager at Microsoft Research Montreal, has a say in it. She wants you to be able to talk to your machine just like you'd talk to another person.
Levi Strauss & Co. is naming a veteran analytical technology executive to the newly created position of senior VP and chief strategy and artificial intelligence officer. Katia Walsh will join Levi Strauss in this role effective April 29, 2019. The position is designed to help the company translate data analytics into decisions that drive business value and competitive advantage. Walsh will be responsible for building the data, analytics and artificial intelligence enablers to support innovation, new business, new business models and strategic growth initiatives. She will report to Chip Bergh, president and CEO, and will be a member of the global leadership team.
Edge computing has a very bright future - it is absolutely inevitable. If you are unconvinced, we invite you to read until the end. For the sake of this post - we will use edge and fog computing interchangeably. This is becoming a less controversial position based on a recent exclusive interview with Chuck Byers, OpenFog CTO. The OpenFog Consortium announced at an IoT Evolution Expo keynote in Fort Lauderdale, Florida last month, that their merger with the Industrial Internet Consortium or IIC was finalized.
As customers become more digitally fluent, they quickly learn to leverage new channels at their disposal to make engaging with business as convenient as possible in different situations. That inherently means they will use multiple channels throughout their relationships, even within the context of a single issue. As this happens, relationships with customers take a turn towards increased complexity, with a need to monitor, track, react and respond to, record and report on these interactions across multiple channels. It can be a daunting challenge. But, it doesn't have to be.
Drill into your head that a customer has a lot of brands to pick from. He thinks from a heart that throbs for a particular one. That brand might have put its 110 per cent in getting connected with its customers emotionally. So, it's up to you to come with a blockbuster upselling and cross-selling idea. What I mean to say is that the knowledge economy is offbeat.
"AI will automate everything and put people out of work." "AI is a science-fiction technology." "Robots will take over the world." The hype around artificial intelligence (AI) has produced many myths, in mainstream media, in board meetings and across organizations. Some worry about an "almighty" AI that will take over the world, and some think that AI is nothing more than a buzzword.
Artificial intelligence is taking over more and more jobs. The NYT reports that more and more journalism is actually being written by robots including nearly 1/3 of Bloomberg articles. "robot reporters have been prolific producers of articles on minor league baseball for The Associated Press, high school football for The Washington Post and earthquakes for The Los Angeles Times… Last week, The Guardian's Australia edition published its first machine-assisted article, an account of annual political donations to the country's political parties. And Forbes recently announced that it was testing a tool called Bertie to provide reporters with rough drafts and story templates… The Wall Street Journal and Dow Jones are experimenting with the technology to help with various tasks, including the transcription of interviews… Patch [is] a nationwide news organization devoted to local news, [with] 110 staff reporters and numerous freelancers who cover about 800 communities… In a given week, more than 3,000 posts on Patch -- 5 to 10 percent of its output -- are machine-generated… "One thing I've noticed," Mr. St. John said, "is that our A.I.-written articles have zero typos."
If you've been keeping up with the news lately, reading blogs or the occasional legal industry related tweets on twitter, you've heard the deafening cries and dizzying excitement about artificial intelligence, machine learning and chatbots. You see, it all started with Alan Turing, the original computer scientist on which the movie The Imitation Game was based. Turing developed his test in 1950 for intelligence in a computer. The idea is if a human is unable to distinguish machine from another human being through engaging it in a dialog of questions and and replies, then the computer could be deemed to be "intelligent." Turing predicted by the year 2000, a computer would pass the test on five-minute keyboard conversations 30% of the time.