Podcasts about o reilly ai conference

At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World. O’Reilly’s ‘AI Adoption in the Enterprise’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications.

At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World. O’Reilly’s ‘AI Adoption in the Enterprise’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications.

Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge. Our conversation begins with the origin story of the Fake News Challenge, including Delip’s initial motivations for the project, and what some of his key takeaways were from that experience. We then dive into a discussion about the generation and detection of artificial content, including “fake news” and “deep fakes.” We discuss the state of generation and detection for text, video, and audio, the key challenges in each of these modalities, the role of GANs on both sides of the equation, and other potential solutions. Finally, we discuss Delip’s new book, Natural Language Processing with PyTorch and his philosophy behind writing it. The complete show notes for this episode can be found at https://twimlai.com/talk/260. For more from the AI Conference NY series, visit twimlai.com/nyai19. Thanks to our friends at HPE for sponsoring this week's series of shows from the O’Reilly AI Conference in New York City! For more information on HPE InfoSight, visit twimlai.com/hpe.  

Today we’re joined by Joanna Bryson, Reader at the University of Bath. I was fortunate to catch up with Joanna at the AI Conference where she presented on “Maintaining Human Control of Artificial Intelligence,“ focusing on technological and policy mechanisms that could be used to achieve that goal. In our conversation, we explore our current understanding of “natural intelligence” and how it can inform the development of AI, the context in which she uses the term “human control” and its implications, and the meaning of and need to apply “DevOps” principles when developing AI systems. This was a fun one! The complete show notes for this episode can be found at https://twimlai.com/talk/259. For more from the AI Conference NY series, visit twimlai.com/nyai19. Thanks to our friends at HPE for sponsoring this week's series of shows from the O’Reilly AI Conference in New York City! For more information on HPE InfoSight, visit twimlai.com/hpe.

Today we kick off our AI conference NY series with Pankaj Goyal, VP for AI & HPC product management at HPE, and Rochna Dhand, director of product management for HPE InfoSight. Today we get things kicked off with Pankaj Goyal, VP for AI & HPC product management at HPE, and Rochna Dhand, director of product management for HPE InfoSight. In our conversation, Pankaj shares some examples of the kind of AI projects HPE is working with customers on And Rochna details hows HPE’s Infosight helps IT organizations better manage and ensure the health of an enterprise’s IT infrastructure using machine learning. We discuss the key use cases addressed by InfoSight, the types of models it uses for its analysis and some of the results seen in real-world deployments. The complete show notes for this episode can be found at https://twimlai.com/talk/258. For more from the AI Conference NY series, visit twimlai.com/nyai19. Thanks to our friends at HPE for sponsoring this week's series of shows from the O’Reilly AI Conference in New York City! For more information on HPE InfoSight, visit twimlai.com/hpe.

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on “Why AI needs human-centered design.” We had an amazing chat, in which we explored the many reasons why the human element is so important in ML and AI, along with useful ways to build algorithms and models that reflect this human element, while avoiding out problems like group-think and bias. This was a very interesting conversation. I enjoyed it a ton, and I’m sure you will too! The notes for this episode can be found at twimlai.com/talk/56

Like last week’s interview with Bruno Goncalves, this week’s interview was also recorded at the last O’Reilly AI Conference back in New York in June. Also like last week’s show, this week’s is also focused on Natural Language Processing and I think you’ll enjoy it. I’m joined by Jonathan Mugan, co-founder and CEO of Deep Grammar, a company that is building a grammar checker using deep learning and what they call deep symbolic processing. This interview is a great complement to my conversation with Bruno, and we cover a variety of topics from both the sub-symbolic and symbolic schools of NLP, such as attention mechanisms like sequence to sequence, and ontological approaches like WordNet, synsets, FrameNet, and SUMO. You can find the notes for this show at twimlai.com/talk/49

The O’Reilly Bots Podcast: Hilary Mason, Jimi Smoot, and Roger Chen on what AI means now.Something remarkable is happening in the world of artificial intelligence. At the O’Reilly AI Conference in New York, people weren’t just talking about AI as a far-off dream; they were talking about AI as something that exists in real products today. In this episode of the O’Reilly Bots podcast, I talk with three artificial-intelligence practitioners about the real practice of AI: Hilary Mason, Jimi Smoot, and Roger Chen. Hilary Mason, founder and CEO of Fast Forward Labs, a startup that conducts research on machine intelligence, says that today’s AI “gives us a capability that would have seemed like magic even five years ago, and yet that capability is not nearly as interesting as the fact that the app is actually useful.” We also talk about the potential of AI-generated content, and some products that provide a glimpse of what a new AI-written world might look like. My second conversation is with Jimi Smoot, founder and CEO of Vesper, a hybrid AI and human assistant that helps executives with tasks like scheduling and travel arrangements. AI that augments human functions is likely to be a facet of the next economy. Smoot says that “early in the process with a new user, having a human touch is critical to developing trust.” Finally, Roger Chen, co-chair of the O’Reilly AI Conference, talks about what the term AI really means, the origins of the AI Conference, and how companies can implement AI now.  “I think a lot of these interfaces that we call AI and bots are just going to be known as seamless, great experiences and interfaces,” he says. O’Reilly’s upcoming Bot Day on October 19, 2016, in San Francisco, will provide more insight on AI for bots. Other links: Google’s "Deep Dream" paper, illustrating how a neural network can be used to turn an ordinary photograph into a dream-like composite Composing classical music using neural networks Video highlights from the O’Reilly AI Conference Brief, from Fast Forward Labs, a summarization engine that uses AI to extract the most interesting sentences from long passages of text

The O’Reilly Bots Podcast: Hilary Mason, Jimi Smoot, and Roger Chen on what AI means now.Something remarkable is happening in the world of artificial intelligence. At the O’Reilly AI Conference in New York, people weren’t just talking about AI as a far-off dream; they were talking about AI as something that exists in real products today. In this episode of the O’Reilly Bots podcast, I talk with three artificial-intelligence practitioners about the real practice of AI: Hilary Mason, Jimi Smoot, and Roger Chen. Hilary Mason, founder and CEO of Fast Forward Labs, a startup that conducts research on machine intelligence, says that today’s AI “gives us a capability that would have seemed like magic even five years ago, and yet that capability is not nearly as interesting as the fact that the app is actually useful.” We also talk about the potential of AI-generated content, and some products that provide a glimpse of what a new AI-written world might look like. My second conversation is with Jimi Smoot, founder and CEO of Vesper, a hybrid AI and human assistant that helps executives with tasks like scheduling and travel arrangements. AI that augments human functions is likely to be a facet of the next economy. Smoot says that “early in the process with a new user, having a human touch is critical to developing trust.” Finally, Roger Chen, co-chair of the O’Reilly AI Conference, talks about what the term AI really means, the origins of the AI Conference, and how companies can implement AI now.  “I think a lot of these interfaces that we call AI and bots are just going to be known as seamless, great experiences and interfaces,” he says. O’Reilly’s upcoming Bot Day on October 19, 2016, in San Francisco, will provide more insight on AI for bots. Other links: Google’s "Deep Dream" paper, illustrating how a neural network can be used to turn an ordinary photograph into a dream-like composite Composing classical music using neural networks Video highlights from the O’Reilly AI Conference Brief, from Fast Forward Labs, a summarization engine that uses AI to extract the most interesting sentences from long passages of text

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week we discuss Intel’s latest deep learning acquisition, AI in the Olympics, and how you can win a free ticket to the O’Reilly AI Conference in New York City. Plus a bunch more on This Week in Machine Learning & AI. The notes for this show can be found at twimlai.com/13.