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machine learning
Talking Machines: Spark and ICML, with Sinead Williamson
Talking Machines
06 Jun 2016
In episode eleven of season two, we talk about the machine learning toolkit Spark and answer a listener question about the difference between Neural Information Processing Systems (NIPS) and Interna...
How friendly is your AI? It depends on the rewards
Two years after the small London-based startup DeepMind published their pioneering work on “Playing Atari with Deep Reinforcement Learning”, they have become one of the leaders in the chase for Ar...
UK Royal Society wants to hear your thoughts on machine learning
Aleks Berditchevskaia
23 Dec 2015
The UK Royal Society would like to hear your thoughts on machine learning – you are invited to answer some or all of the questions set out in a Call for Evidence here. The closing date for evidence ...
Talking Machines: Probabilistic programming, with Ben Vigoda
Talking Machines
26 Nov 2015
In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everything from his thesis, to his new company)....
Talking Machines: Digital humanities with David Mimno
Talking Machines
06 Nov 2015
In episode 23 we talk with David Mimno of Cornell University about his work in the digital humanities, and explore what machine learning can tell us about lady zombie ghosts and huge bodies of liter...
Crowdsourcing in machine learning, with Adam Kalai of Microsoft Research
Talking Machines
26 Oct 2015
In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using crowdsourcing in Machine Learning, we take a look at the workshops being presented at NIPS this ye...
Talking Machines: Treating cancer clusters, with Quaid Morris
Talking Machines
09 Oct 2015
In episode twenty one we talk with Quaid Morris of the University of Toronto, who is using machine learning to find a better way to treat cancers. ...
Teaching a brain-controlled robotic prosthetic to learn from its mistakes
NCCR Robotics
01 Oct 2015
Brain-Machine Interfaces (BMIs) -- where brain waves captured by electrodes on the skin are used to control external devices such as a robotic prosthetic -- are a promising tool for helping people w...
Talking Machines: The Master Algorithm, with UW’s Pedro Domingos
Talking Machines
25 Sep 2015
In episode 20 we chat with Pedro Domingos of the University of Washington, who has just published a book The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World....
Why we need journalism about machine learning
Talking Machines
25 Sep 2015
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Talking Machines is in the process of raising funds to defray the cost of producing our first season and to help us start production on our second season. On the show we’ve talked about h...
Talking Machines: Active learning and machine learning in neuroscience, with Microsoft’s Sham Kakade
Talking Machines
27 Aug 2015
In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work that touches on everything from neuroscience to theoretical machine learning....
Talking Machines: Machine learning in biology, with Microsoft’s Jennifer Listgarten
Talking Machines
14 Aug 2015
In episode seventeen we talk with Jennifer Listgarten of Microsoft Research New England about her work using machine learning to answer questions in biology....
Machine learning for sports & realtime predictions, w Microsoft Research’s Danny Tarlow
Talking Machines
31 Jul 2015
In episode sixteen we chat with Danny Tarlow of Microsoft Research Cambridge (in the UK not MA). Danny (along with Chris Maddison and Tom Minka) won best paper at NIPS 2014 for his paper A* Sampling. ...
Really really big data and machine learning in business, with Max Welling
Talking Machines
17 Jul 2015
In episode fifteen we talk with Max Welling, of the University of Amsterdam and University of California Irvine. We talk with him about his work with extremely large data and big business and machine ...
Talking Machines: On ‘solving intelligence’, with DeepMind’s Nando de Freitas
Talking Machines
03 Jul 2015
In episode fourteen we talk with Nando de Freitas. He’s a professor of Computer Science at the University of Oxford and a senior staff research scientist Google DeepMind. Right now he’s focusing o...
Talking Machines: Data and machine learning in advertising, with Claudia Perlich
Talking Machines
19 Jun 2015
In episode thirteen we talk with Claudia Perlich, Chief Scientist at Dstillery. We talk about her work using machine learning in digital advertising and her approach to data in competitions....
Talking Machines: The economic impact of machine learning, with Baidu’s Andrew Ng
Talking Machines
04 Jun 2015
In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is going to explode the way we use mobile devices and his approach to working on the problem....
Talking Machines: Neil Lawrence on privacy in the age of machine learning
Talking Machines
22 May 2015
In episode eleven we chat with Neil Lawrence from the University of Sheffield. We talk about the problems of privacy in the age of machine learning, and the responsibilities that come with using mach...
Talking Machines: Interdisciplinary data, with David Blei
Talking Machines
07 May 2015
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In Episode 10 we talk with David Blei of Columbia University. We talk about his work on latent dirichlet allocation, topic models, the PhD program in data that he’s helping to create at C...
Talking Machines: Developing effective medicine by predicting molecular activity, with George Dahl
Talking Machines
24 Apr 2015
In episode nine we talk with George Dahl, of the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defend...
Talking Machines: Spinning programming plates and creative algorithms, with Charles Sutton
Talking Machines
09 Apr 2015
In episode eight we talk with Charles Sutton, a professor in the School of Informatics University of Edinburgh about computer programming and using machine learning to better understand how it’s d...
Talking Machines: The automatic statistician and electrified meat, with Zoubin Ghahramani
Talking Machines
26 Mar 2015
In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Department of Engineering at the University of Cambridge. His project, The Automatic S...
While most robots are either geek or jock, CHAPPiE is a lesson in sexy
Mark Stephen Meadows
03 Mar 2015
Neill Blomkamp's new film CHAPPiE can teach us a lot about how to design robots. That, and how to be sexy. Rolling out in theatres this week....
Talking Machines: Women in Machine Learning (WiML), with Hanna Wallach
Talking Machines
12 Feb 2015
In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women ...
Talking Machines: Common sense problems & learning about machine learning with Kevin Murphy
Talking Machines
29 Jan 2015
On episode three of Talking Machines we sit down with Kevin Murphy, who is currently a research scientist at Google. We talk with him about the work he’s doing there on the Knowledge Vault, his tex...
Talking Machines: Machine learning and magical thinking, with Ilya Sutskever
Talking Machines
15 Jan 2015
Robohub is excited to bring you our newest series - the Talking Machines podcast. Hosted by Katherine Gorman and Ryan Adams, Talking Machines is your window into the world of machine learning. Yo...
Teaching a robot to ‘cook’ by showing it YouTube videos of cooking shows
Most of us have at some point watched a video in order to learn how to do something. Our research shows that a robot can learn human actions by watching videos of humans performing those actions – i...
Introducing Talking Machines: Your window into the world of machine learning
Talking Machines
01 Jan 2015
Robohub is excited to bring you our newest series - the Talking Machines podcast. Hosted by Katherine Gorman and Ryan Adams, Talking Machines is your window into the world of machine learning. Yo...
“Chappie” movie to explore human reaction to AI, machine learning
Hallie Siegel
04 Nov 2014
A new action/sci-fi thriller by Neill Blomkamp (District 9, Elysium) is due in theatres March 6, 2015. Starring Sharlto Copley, Hugh Jackman, Dev Patel, and Sigourney Weaver, Chappie follows an exper...
Artificial General Intelligence that plays Atari video games: How did DeepMind do it?
Last December, an article named “Playing Atari with Deep Reinforcement Learning” was uploaded to arXiv by employees of a small AI company called DeepMind. Two months later [tweetquote]Google bough...
On internal models, consequence engines and Popperian creatures
Alan Winfield
08 Sep 2014
So. We've been busy in the lab the last few months. Really exciting. Let me explain.
For a couple of years I've been thinking about robots with internal models. Not internal models in the classical...
ShanghAI Lectures: Rüdiger Dillmann “Programming by Demonstration”
Nathan Labhart
21 Aug 2014
Guest talk in the ShanghAI Lectures, 2011-12-15
In this guest lecture, Rüdiger Dillmann from the Karlsruhe Institute of Technology, Germany, talks about paradigms for robot learning and the proper...
Signal processing technology to extract required information from image, sound, and biometric signals
DigInfo TV
26 May 2014
At Keio University, the Mitsukura Laboratory, in the Department of System Design Engineering, researches how to extract required information from biometric, image, audio signal data. To achieve this, ...
What should a robot do? Designing robots that know right from wrong
AJung Moon and Footnote
29 Apr 2014
A large robot comes out of an office mailroom carrying a package marked “Urgent” to deliver to the boss upstairs. After navigating down the hall at maximum speed, it discovers someone is already w...
What do teachers mean when they say ‘do it like me’?
Autonomous Robots Blog
17 Feb 2014
This post is part of our ongoing efforts to make the latest papers in robotics accessible to a general audience.
Teaching robots to do tasks is useful, and teaching them in an easy and non time-i...
Three new quadrotor videos demonstrate agile control and the power of machine learning
Hallie Siegel
18 Nov 2013
Quadrocopters assembling tensile structures in the ETH Flying Machine Arena. Photo credit: Professorship for Architecture and Digital Fabrication and the Institute for Dynamic Systems and Control, ETH...
