1. Articles from GigaOM

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    1. Gigaom | Voices in Ai – Episode 8: A Conversation with Esther Dyson

      Gigaom | Voices in Ai – Episode 8: A Conversation with Esther Dyson

      RSS Byron Reese: Today, our guest is Esther Dyson. Esther Dyson is a living legend. She has been an angel investor, and sits on the boards of a number of companies. She is also a best-selling author, a world citizen, and a backup cosmonaut for the Russian Space Program. Now, she serves as the Executive Founder for a non-profit called Way to Wellville. Welcome to the show, Esther. Esther Dyson: Delighted to be here. Let’s start with that; that sounds like an intriguing non-profit.

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    2. Gigaom | Voices in Ai – Episode 1: A conversation with Yoshua Bengio

      Gigaom | Voices in Ai – Episode 1: A conversation with Yoshua Bengio

      RSS Guest Yoshua Bengio received a PhD in Computer Science from McGill University in Canada in 1991. After two post-doctoral years, one at MITand one at AT&T Bell Labs, he became professor at the Department of Computer Science and Operations Research at the University of Montreal. He is the author of two books and more than 200 publications.

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    3. Gigaom | Voices in Ai – Episode 2: A Conversation with Oren Etzioni

      Gigaom | Voices in Ai – Episode 2: A Conversation with Oren Etzioni

      RSS

      Byron Reese: This is Voices in AI, brought to you by Gigaom. I’m Byron Reese. Today, our guest is Oren Etzioni. He’s a professor of computer science who founded and ran University of Washington’s Turing Center. And since 2013, he’s been the CEO of the Allen Institute for Artificial Intelligence. The Institute investigates problems in data mining, natural language processing, and the semantic web.

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    4. Gigaom | Voices in Ai – Episode 4: A Conversation with Jeff Dean

      Gigaom | Voices in Ai – Episode 4: A Conversation with Jeff Dean

      RSS Byron Reese: Hello, this is Voices in AI brought to you by Gigaom. I am your host, Byron Reese. Today we welcome Jeff Dean onto the show. Jeff is a Google Senior Fellow and he leads the Google Brain project. His work probably touches my life, and maybe yours, about every hour of every day, so I can’t wait to begin the conversation. Welcome to the show Jeff. Jeff Dean: Hi Byron, this is Jeff Dean. How are you? I’m really good, Jeff, thanks for taking the time to chat.

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    5. Gigaom | Voices in Ai – Episode 5: A Conversation with Daphne Koller

      Gigaom | Voices in Ai – Episode 5: A Conversation with Daphne Koller

      RSS Byron Reese: This is Voices in AI, brought to you by Gigaom. I’m Byron Reese. Today our guest is Daphne Koller. She’s the Chief Computing Officer over at Calico. She has a PhD in Computer Science from Stanford, which she must have liked a whole lot, because she shortly thereafter became a professor there for eighteen years. And it was during that time that she founded Coursera with Andrew Ng. She is the recipient of so many awards, I would do them an injustice to try to list them all.

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    6. Review: IBM’s Watson Can Learn a lot from Marchex Speech Analytics

      Review: IBM’s Watson Can Learn a lot from Marchex Speech Analytics

      Share Most any caller to a business has heard the phrase “Your call may be monitored for training or quality assurance purposes” uttered as a pre-recorded message. However, perhaps few callers consider what consent to the recording actually means. Many assume, correctly so, that this statement is just a legal requirement that keeps callers informed that others may listen to or record the call.

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      Mentions: IBM Watson MCA IBM
    7. A chat with AI instructor Chris Mohritz

      A chat with AI instructor Chris Mohritz

      Share Christopher Mohritz is a lifelong entrepreneur and technologist with a number of successful businesses under his belt; bringing a unique blend of technology know-how coupled with creative thinking and business acumen to each of his projects. Since 2009, Chris has been building and leveraging artificial intelligence systems to cognify a wide range of business functions — marketing, sales, customer support and decision automation to name a few.

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    8. Unleashing A.I.-Powered Conversation With IBM Watson

      Unleashing A.I.-Powered Conversation With IBM Watson

      If you’d like to see the source code, here’s our fork of the application on GitHub . The End Result The steps in this guide will create an application similar to the following (You can also preview a live version of it here ): Some of the major highlights of this app include: Natural language input — Speak or type in a command, the system figures out your intent Spoken responses — Responses are audibly spoken in natural language Quick input — Select from a list of intents currently configured in the system And this is just the beginning, this application can be ...

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      Mentions: German IBM Watson IBM
    9. Baidu’s Andrew Ng talks AI with Gigaom

      Baidu’s Andrew Ng talks AI with Gigaom

      Share Dr. Andrew Ng joined Baidu in May 2014 as chief scientist. He is responsible for driving the company’s global AI strategy and infrastructure. He leads Baidu Research in Beijing and Silicon Valley as well as technical teams in the areas of speech, big data and image search. In addition to his role at Baidu, Dr. Ng is an adjunct professor in the computer science department at Stanford University.

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    10. Amazon Alexa Poised to Bring Natural Language Processing to Businesses

      Amazon Alexa Poised to Bring Natural Language Processing to Businesses

      Share Amazon’s Alexa, a voice-activated natural language processing system, has made great inroads into the home digital assistant market, proving once and for all that using natural language to command technology is no longer science fiction. Currently, Alexa is primarily available integrated into Amazon’s series of smart speakers, marketed as the Echo, the Dot, and the Tap. Three plug and play devices that connect to the cloud powered Alexa app via WiFi.

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      Mentions: Amazon NLP
    11. Four Questions For: Daniela Rus

      Four Questions For: Daniela Rus

      Share You have said before that you believe robots will be as commonplace as smartphones. How do you envision robots to be used in people’s everyday lives? Recent years have seen major advances in fields that are vital for producing useful robots. Computer vision researchers are developing algorithms that allow machines to “see” increasingly more like humans. Experts in manipulation and control are creating increasingly more agile robots that can do increasingly more dexterous tasks.

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    12. Gigaom | The Analytics of Language, Behavior, and Personality

      Gigaom | The Analytics of Language, Behavior, and Personality

      0 Comments Computational linguists and computer scientists, among them University of Texas professor Jason Baldridge , have been working for over fifty years toward algorithmic understanding of human language. They’re not there yet. They are, however, doing a pretty good job with important tasks such as entity recognition, relation extraction, topic modeling, and summarization.

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      Mentions: New York Voice Texas
    1-24 of 107 1 2 3 4 5 »
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