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machine learning


President Obama discusses artificial intelligence with Media Lab Director Joi Ito

When President Barack Obama agreed to guest-edit the November issue of WIRED, he selected MIT Media Lab Director Joi Ito for an exchange of ideas about artificial intelligence (AI). Their recent inter...
17 October 2016, by

EQ-Radio: Detecting emotions with wireless signals

By measuring your heartbeat and breath, this device from MIT's Computer Science and Artificial Intelligence Lab can tell if you’re excited, happy, angry or sad
....
21 September 2016, by

Machines can learn by simply observing, without being told what to look for

We have developed a new machine learning method at the University of Sheffield called Turing Learning that allows machines to model natural or artificial systems....
15 September 2016, by

Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy

In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Ja...
27 July 2016, by

Building better trust between humans and machines

MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks....
23 June 2016, by

Talking Machines: Fantasizing cats and data numbers, with Iain Murray

In episode twelve of season two, we discuss generative adversarial networks, take a listener question about using machine learning to improve or create products, and lastly, speak with Iain Murray fro...
20 June 2016, by



Talking Machines: Spark and ICML, with Sinead Williamson

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...
06 June 2016, by

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

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 ...
23 December 2015, by

Talking Machines: Probabilistic programming, with Ben Vigoda

In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everything from his thesis, to his new company)....
26 November 2015, by

Talking Machines: Digital humanities with David Mimno

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...
06 November 2015, by

Crowdsourcing in machine learning, with Adam Kalai of Microsoft Research

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...
26 October 2015, by

Talking Machines: Treating cancer clusters, with Quaid Morris

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. ...
09 October 2015, by

Teaching a brain-controlled robotic prosthetic to learn from its mistakes

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...
01 October 2015, by

Talking Machines: The Master Algorithm, with UW’s Pedro Domingos

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....
25 September 2015, by

Why we need journalism about machine learning

[clear] 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...
25 September 2015, by

Talking Machines: Active learning and machine learning in neuroscience, with Microsoft’s Sham Kakade

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....
27 August 2015, by

Talking Machines: Machine learning in biology, with Microsoft’s Jennifer Listgarten

In episode seventeen we talk with Jennifer Listgarten of  Microsoft Research New England about her work using machine learning to answer questions in biology....
14 August 2015, by

Machine learning for sports & realtime predictions, w Microsoft Research’s Danny Tarlow

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. ...
31 July 2015, by

Really really big data and machine learning in business, with Max Welling

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 ...
17 July 2015, by

Talking Machines: On ‘solving intelligence’, with DeepMind’s Nando de Freitas

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...
03 July 2015, by

Talking Machines: Data and machine learning in advertising, with Claudia Perlich

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....
19 June 2015, by

Talking Machines: The economic impact of machine learning, with Baidu’s Andrew Ng

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....
04 June 2015, by

Talking Machines: Neil Lawrence on privacy in the age of machine learning

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...
22 May 2015, by

Talking Machines: Interdisciplinary data, with David Blei

[clear] 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...
07 May 2015, by

Talking Machines: Developing effective medicine by predicting molecular activity, with George Dahl

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...
24 April 2015, by

Talking Machines: Spinning programming plates and creative algorithms, with Charles Sutton

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...
09 April 2015, by

Talking Machines: The automatic statistician and electrified meat, with Zoubin Ghahramani

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...
26 March 2015, by

While most robots are either geek or jock, CHAPPiE is a lesson in sexy

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....
03 March 2015, by

Talking Machines: Women in Machine Learning (WiML), with Hanna Wallach

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 ...
12 February 2015, by







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