Deep Learning

Artificial intelligence: Utopia or dystopia?

Artificial intelligence (AI) already plays a major role in human economies and societies, and it will play an even bigger role in the coming years. To ponder the future of AI is thus to acknowledge th...

02 March 2017, by Margaret Boden

Artificial intelligence: Understanding how machines learn

From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But ...

24 February 2017, by Matt Escobar

Wearable AI that can detect the tone of a conversation

It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions like Asperger’s, this can make social situations extremely stressf...

01 February 2017, by CSAIL MIT

The Frontiers of Machine Learning: Live webcast

The webcast will take place on today from 9am-5:30pm EST and February 1st from 9am-5pm EST. Webcast participants are encouraged to submit questions for the presenters by e-mailing Michelle Schwalbe a...

31 January 2017, by Robohub Editors

Generating predictive videos using deep-learning

Living in a dynamic physical world, it’s easy to forget how effortlessly we understand our surroundings. With minimal thought, we can figure out how scenes change and objects interact. But what�...

28 November 2016, by CSAIL MIT

“Deep learning is the most fundamental advance in AI research since AI started in 1956”

Frank Chen, a partner at Andreessen Horowitz, the Silicon Valley venture capital and private equity firm, said, "It is absolutely non-controversial that deep learning is the most fundamental advance ...

14 July 2016, by Frank Tobe

Overview: Are the sceptics right? Limits and potentials of deep learning in robotics

John McCormac discusses his takeaways from the RSS 2016 Workshop ‘Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics' and highlights interesting themes and topics from the d...

23 June 2016, by John McCormac

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

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

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

Talking Machines: Machine learning and magical thinking, with Ilya Sutskever

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...

15 January 2015, by Talking Machines

Artificial intelligence is a tool, not a threat

Recently there has been a spate of articles in the mainstream press, and a spate of high profile people who are in tech but not AI, speculating about the dangers of malevolent AI being developed, and ...

11 November 2014, by Rodney Brooks

Google adds to DeepMind, acquiring 2 UK startups and partnering with Oxford U

In January, 2014, Google acquired London-based DeepMind Technologies for $643 million. Now it is adding to that purchase with two more companies, ten new hires and a substantial contribution to Oxford...

27 October 2014, by Frank Tobe