it is playlist about machine learning and artificial intelligence. I'm putting here all podcast in english in related topic. If you know something that should be here please drop me a message with link and follow me on twitter: @hyzhak_en

artificial intelligence

Radiolab-like ideas, perspectives

O'Reilly Radar tracks the technologies and people that will shape our world in the years to come. Each episode of O'Reilly Radar features an interview with an industry thought leader, with topics touching on everything from programming to data to experience design. We also take a step back from the breathless pace of the latest tech news to examine why new developments are important and what they might mean down the road.

O'Reilly Radar Podcast

With the rise of mobile phones equipped with GPS, we're meeting many more data scientists at start-ups and large companies who specialize in spatio-temporal pattern recognition. Analyzing “moving dots” requires specialized tools and techniques. A few months ago, I sat down with Rajiv Maheswaran founder and CEO of Second Spectrum, a company that applies analytics to sports tracking data. Maheswaran talks about the tools and techniques required to analyze new kinds of sports data.

For more on our interview, visit O'Reilly Radar: http://oreil.ly/1t7EcOQ

The science of moving dots

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

O'Reilly Ben Lorica chats with Ion Stoica, UC Berkeley Professor and Databricks CEO, about the rise of Apache Spark and Apache Mesos.

Apache Spark's Journey From Academia To Industry

O’Reilly’s big data guru Ben Lorica sits down with prominent data scientist DJ Patil to talk about his new ebook (written with Hilary Mason) and other topics in data science and big data.

A Brief Look At Data Science's Past And Future

Mechanobiology reveals insights into how the body’s physical forces and mechanics impact development, physiological health, and prevention and treatment of disease. The emerging field of Mechanotherapeutics leverages these insights towards the development of new types of pharmaceuticals, drug delivery systems, engineered tissues, and wearable therapeutic devices that leverage physical forces or target mechanical signaling pathways as a core part of their mechanism of action.

In this episode of Disruptive, Wyss Core Faculty members Don Ingber, Dave Mooney, and Conor Walsh discuss the latest directions in Mechanotherapeutics. Along with leading researchers from around the globe, representing diverse disciplines, Ingber, Mooney, and Walsh presented at the Wyss Institute's 7th annual symposium. Speakers provided numerous examples of how mechanics are being harnessed in ways that can transform the future of medicine – from drugs to wearables.

Transcript: https://s3-us-west-2.amazonaws.com/wyss-prod/app/uploads/2017/08/08150800/Ep009_Disruptive_Mechanotherapeutics.pdf

Disruptive: Mechanotherapeutics – From Drugs to Wearables | Wyss Institute

The book Lingo, by Dutch linguist and journalist Gaston Dorren, is an enjoyable whirlwind tour of languages throughout Europe. http://waywordradio.org

1460-Intro-Book-Recommendation

This week, I sit down with anthropologist, futurist, Intel Fellow, and director of interaction and experience research at Intel, Genevieve Bell. We talk about what she’s learning from current AI research, why the resurgence of AI is different this time, and five things that are missing from the AI conversation.

Genevieve Bell on Moving From Human-Computer Interactions to Human-Computer Relationships

This week, I sit down with Tom Davenport. Davenport is a professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a fellow at the MIT Center for Digital Business, and a senior advisor for Deloitte Analytics. He also pioneered the concept of “competing on analytics.” We talk about how his ideas have evolved since writing the seminal work on that topic, Competing on Analytics: The New Science of Winning; his new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, which looks at how AI is impacting businesses; and we talk more broadly about how AI is impacting society and what we need to do to keep ourselves on a utopian path.

Tom Davenport on Mitigating AI's Impact on Jobs and Business

In this week's Radar Podcast, O’Reilly’s Mac Slocum chats with Sara Watson, a technology critic and writer in residence at Digital Asia Hub. Watson is also a research fellow at the Tow Center for Digital Journalism at Columbia and an affiliate with the Berkman Klein Center for Internet and Society at Harvard. They talk about how to optimize personalized experience for consumers, the role of machine learning in this space, and what will drive the evolution of personalized experiences.

Sara Watson on Optimizing Personalized Experiences

The passage of the 21st Century Cures Act has drawn both applause and criticism. A sweeping bipartisan effort with multiple components, the law dramatically boosts funding for medical research, particularly in areas such as cancer and brain disease. The law also relaxes regulatory processes for pharmaceuticals and medical devices. In doing so, the law’s supporters point to the potential for faster treatments benefiting from a streamlined approval process. Critics raise concerns that safety and efficacy might be compromised, with potentially devastating consequences. And the law also has been questioned for failing to explicitly address high drug prices, a growing public issue. These debates are unfolding as the Trump administration is expected to imminently announce its choice for a new FDA commissioner, who will head an agency directly impacted by the Cures act. In this Forum, experts will explore the implications of the law for biomedicine, regulation, pharmaceuticals and patient advocacy.

This Forum event was presented jointly with STAT on February 27, 2017.

Watch the entire series at ForumHSPH.org.

The 21st Century Cures Act: Implications for Research and Drug Development

This week, I sit down with David Beyer, an investor with Amplify Partners. We talk about machine learning and artificial intelligence, the challenges he’s seeing in AI adoption, and what he thinks is missing from the AI conversation.

AI Adoption at the Atomic Level of Jobs and Work

This week, I sit down with Aman Naimat, senior vice president of technology at Demandbase, and co-founder and CTO of Spiderbook. We talk about his project to build a knowledge graph of the entire business world using natural language processing and deep learning. We also talk about the role AI is playing in those companies today and what’s going to drive AI adoption in the future.

Aman Naimat on Building a Knowlege Graph of the Entire Business World

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.