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interview by   -   July 23, 2016

pbo

In this episode, Audrow Nash interviews Emo Todorov, Director of Movement Control Laboratory at the University of Washington, about a physics-based optimization method for controlling robots. Todorov describes how his physics-based method can be used to solve problems and discusses results in simulation and on hardware.

by   -   July 15, 2016

Robot On A Book Shelf Law Robotics

10 years after the release of the EURON Roboethics Roadmap and we are witnessing a technology revolution. In the last 10 years, we’ve seen: Google’s self-driving car, Amazon’s KIVA system, drones, SoftBank’s Pepper, Boston Dynamics’ Atlas, ROSS System and AlphaGo technology. Artificial Intelligence (AI) is no longer a concept in science fiction but the next wave to change our society. More interestingly, the intersection of AI & law will not only affect how people think but also, what people do in their daily lives, how they will behave.

For this interview, we invited Ms. Mady Delvaux-Stehres to share her insights on European perspectives in robot law.

interview by   -   July 9, 2016

rsz_2016-01-26-nutonomy-0145-edit
In this episode, Audrow Nash interviews Karl Iagnemma, a Principal Research Scientist at the Massachusetts Institute of Technology and the CEO of nuTonomy, about autonomous vehicles in urban environments. Iagnemma discusses the market for autonomous cars, why nuTonomy is being developed and, at least initially, deployed in Singapore, and the technology of autonomous cars.

by   -   July 8, 2016
Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne
Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne

In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE), take a listener question about statistical physics, plus, speak with Hal Daume of the University of Maryland (who is great to follow on Twitter).

interview by   -   June 25, 2016

icra2016

This is the second of two episodes where Audrow Nash interviews several companies at the International Conference for Robotics and Automation (ICRA). ICRA is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work. The 2016 conference was May 16-21 in Stockholm, Sweden.

by   -   June 20, 2016
Generating faces with Torch. Photo source: torch.ch
Generating faces with Torch. Photo source: torch.ch

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 from University of Edinburgh.

interview by   -   June 12, 2016

exhibition_icra16_10

This is the first of two episodes where Audrow Nash interviews several companies at the International Conference on Robotics and Automation (ICRA). ICRA is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work. The 2016 conference was May 16-21 in Stockholm, Sweden.

by   -   June 6, 2016
Source: Pexels/CC0
Source: Pexels/CCO

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 International Conference on Machine Learning (ICML). Plus, we speak with Sinead Williamson from The University of Texas at Austin.

interview by   -   May 29, 2016

banniere-robots

In this episode, Audrow Nash interviews several companies at last year’s INNOROBO, a conference that showcases innovation in robotics.

by   -   May 24, 2016
Stem cell. Source: CC0
Stem cell. Source: CC0

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.

interview by   -   May 21, 2016

Ladybird

In this episode, Ron Vanderkley interviews James Underwood from the Australian Centre for Field Robotics. Underwood discusses his work on an autonomous vegetable harvesting robot, Ladybird.

by   -   May 9, 2016

Deep_Mind_Atari_AI_algorithm

In episode nine of season two, we talk about sparse coding, take a listener question about the next big demonstration for AI after AlphaGo. Plus we talk with Clement Farabet about MADBITS and the work he’s doing at Twitter Cortex.

interview by   -   May 1, 2016

Guido

In this episode, Abate De Mey interviews Guido De Croon about Evolutionary Robotics and its use to design behaviors for flying robots.

by   -   April 22, 2016

DavidMacKay

Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive body of work and its impacts. We’ll also talk with Philipp Hennig, a research group leader at the Max Planck Institute for Intelligent Systems, who trained in Professor MacKay’s group (with Ryan).

interview by   -   April 17, 2016

Reach-Robotics-Living-Room-Battle-Art

In this episode, Audrow Nash interviews Silas Adekunle, Co-founder and CEO of Reach Robotics. They speak about Reach Robotics’ first product, Mecha Monsters: legged, gaming robots that are controlled by a smartphone.





Stiquito
August 8, 2014


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