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by   -   June 26, 2015

In this episode, Ron Vanderkley speaks with Dr. Lei Cui from Curtin University about his team’s work on 3D printable hand orthosis for rehabilitation, a  task-oriented 4-DOF robotic device for upper-limb rehabilitation and a 3-DOF platform providing multi-directional perturbations for research into balance rehabilitation. They also discuss a high-speed untethered robotic fish for river monitoring and an amphibious robot for monitoring the Swan-Canning River System.

by   -   June 12, 2015

cyphy droneIn this episode, Audrow Nash speaks with Helen Greiner, CEO and founder of CyPhy Works and co-founder of iRobot, about CyPhy Work’s LVL 1 photography drone. The LVL 1 drone has six propellers that are angled up and rotated slightly, which allows the drone to fly without tilting; flying without tilting is significant because, Helen says, it makes the drone more intuitive to control, as well as removing the need for a costly and high-maintenance camera stabilizing gimbal system. 

by   -   May 15, 2015
Image: MIT d'Arbeloff Laboratory
Image: MIT d’Arbeloff Laboratory

Link to audio file (19:55). Transcript below.

In this episode, Audrow Nash interviews Federico Parietti, a PhD candidate at the Massachusetts Institute of Technology, about his research on supernumerary robotic limbs that can be used in manufacturing and for rehabilitative purposes, among other uses.

by   -   May 7, 2015

Talking Machines

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 Columbia and why exploring data is inherently multidisciplinary. We learn about Markov Chain Monte Carlo and take a listener question about how machine learning can make humans more creative.

by   -   May 1, 2015

In this episode, Audrow Nash interviews Todd Hylton, Senior Vice President at Brain Corporation, about neuromorphic computers. They discuss the robotics development board bStem, which approximates a neuromorphic computer, as well as the eyeRover: a small balancing robot that demonstrates how the bStem can be used in mobile robots.

by   -   April 24, 2015

Kaggle  The Home of Data ScienceIn 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 defended his thesis at the end of March 2015. (Congrats George!) We learn about how networks and graphs can help us understand latent properties of relationships, and we take a listener question about just how you find the right algorithm to solve a problem (Spoiler: start simple.)

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.

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 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 20, 2015

mercedes-benz-s-500-intelligent-drive-2-1-

In this episode, Audrow Nash interviews Christoph Stiller from the Karlsruhe Institute of Technology. Stiller speaks about the sensors required for various level of autonomous driving, as well as the ethics of autonomous cars, and his experience in the Defense Advanced Research Projects Agency (DARPA) Grand Challenge.

by   -   February 6, 2015

Richard_Cassinis_VirtualWorlds

In this episode, Audrow Nash interviews Professor Riccardo Cassinis from the University of Brescia in Italy about using robotics in education. Cassinis speaks about having children, from primary school through university, access and control robots remotely to learn subjects such as programming, geography, and foreign languages.

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.

by   -   January 1, 2015

AI_evolution_dataRobohub 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.

In the first episode of Talking Machines we meet our hosts, Katherine Gorman (nerd, journalist) and Ryan Adams (nerd, Harvard computer science professor), and explore some of the interviews you’ll be able to hear this season. Today we hear some short clips on big issues, we’ll get technical, but today is all about introductions.



Robots Podcast: Birdly
August 22, 2014



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