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Algorithm AI-Cognition

by   -   April 9, 2015

Plates-Spinning-on-SticksIn 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 done well.

UCLA Biomechatronics Lab develops a language of touch that can be "felt" by computers and humans alike.

by   -   April 2, 2015
3D brain scans analysis by applying Deep Learning algorithms - photo : Scyfer
3D brain scans analysis by applying Deep Learning algorithms – photo : Scyfer

The technology that unlocks intelligence from big data – deep learning – is explained in this video by Max Welling, a professor at the University of Amsterdam, and a founder of the Dutch deep learning startup Scyfer.

by   -   March 26, 2015
Source: Automatic Statistician.
Source: Automatic Statistician.

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 Statistician, aims to use machine learning to take raw data and give you statistical reports and natural languages summaries of what trends that data shows.

by   -   March 20, 2015

emotion_robots2

In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.

by   -   March 17, 2015

We hear the second part of our conversation with with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU), who talk with us about the history (and future) of research on neural nets. 

by   -   February 26, 2015

mind-AI-intelligence-learning-data-brainIn episode five of Talking Machines, we hear the first part of our conversation with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU). Ryan introduces us to the ideas in tensor factorization methods for learning latent variable models (which is both a tongue twister and and one of the new tools in ML). To find out more on the topic take a look at the work of Daniel HsuAnimashree Anandkumar and Sham M. Kakade Plus we take a listener question about just where statistics stops and machine learning begins.

by   -   February 26, 2015

A new paper from Google’s DeepMind team indicates that their technology is a “novel artificial agent” that combines two existing forms of brain-inspired machine intelligence: a deep neural network and a reinforcement-learning algorithm.

by   -   February 23, 2015

Robotics and AI were important themes at the World Economic Forum in Davos this year. Ken Goldberg, who was invited to speak at the forum, shares his experience of the event. Check out his WEF talk below.

In this video lecture Fabio Bonsignorio talks about novel ideas that might just lead to a paradigm change robotics that will allow us to apply robot systems to natural environments, and not just factories where systems are operated and controlled by professionals.

by   -   February 12, 2015

wimlIn 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 in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast). 

Researchers improve artificial intelligence algorithms for semi-autonomous vehicles.

Researchers have developed a new approach that allows a robot to plan its activity to accomplish an assigned task.

by   -   January 29, 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 textbook, "Machine Learning: A Probabilistic Perspective", and how to learn about machine learning.

by   -   January 15, 2015

mind-AI-intelligence-learning-data-brainRobohub 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. You can catch new episodes every two weeks on Thursdays.

Today on Talking Machines we hear from Google researcher Ilya Sutskever about his work, how he became interested in machine learning, and why it takes a little bit of magical thinking.



Robots Podcast: Quest for computer vision, with Peter Corke
October 3, 2014



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