Robohub.org

Algorithm AI-Cognition

What is machine learning?

In this article, we explain in plain language machine learning....

Does AI pose a threat to society?

  03 May 2017
Last week I had the pleasure of debating the question "does AI pose a threat to society?" with friends and colleagues Christian List, Maja Pantic and Samantha Payne. The event was organised by the B...

Dr Nathan Griffiths: Driverless cars? How the road to the future will be driven by machine learning

and   01 May 2017
Over the past few weeks, we’ve blogged about how machine learning is transforming research, nuclear decommissioning, and astronomy. Building on our “Ask the Experts” panel discussion on driverle...

Dr Rustam Stolkin and robots that learn: Nuclear robotics meets machine learning

and   27 Apr 2017
How can we create robots that can carry out important tasks in dangerous environments? Machine learning is supporting advances in the field of robotics. To find out more, we talked to Dr Rustam Stolki...

Engineering highly adaptable robots requires new tools for new rules

Northwestern University mechanical engineering professor Todd Murphey and his team are engineering robots that one might say could make robotic assistance as seamless as "humanly" possible. With suppo...
ep.

230

podcast

bots_alive, with Bradley Knox

  18 Mar 2017
In this episode, Audrow Nash interviews Bradley Knox, founder of bots_alive. Knox speaks about an add-on to a Hexbug, a six-legged robotic toy, that makes the bot behave more like a character. They di...

Choreographing automated cars could save time, money and lives

  15 Mar 2017
If you take humans out of the driving seat, could traffic jams, accidents and high fuel bills become a thing of the past? As cars become more automated and connected, attention is turning to how to be...

Should an artificial intelligence be allowed to get a patent?

  09 Mar 2017
Whether an A.I. ought to be granted patent rights is a timely question given the increasing proliferation of A.I. in the workplace. Examples: Daimler-Benz has tested self-driving trucks on public road...

Mind control: Correcting robot mistakes using EEG brain signals

  06 Mar 2017
For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit comm...

Artificial intelligence: Utopia or dystopia?

  02 Mar 2017
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...

Legal artificial intelligence: Can it stand up in a court of law?

  21 Feb 2017
In his book Outliers, Malcolm Gladwell repeatedly mentions what has become known as the “10,000-hour rule”, which states that to become world-class in any field you must devote 10,000 hours of “...

Putting data in the hands of doctors

  17 Feb 2017
Computer scientist Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology wor...

5 global problems that AI could help us solve

  10 Feb 2017
There’s a great deal of concern over artificial intelligence; what it means for our jobs, whether robots will one day replace us in the workplace, whether it will one day lead to robot wars. But cur...

Technical challenges in machine ethics

  08 Feb 2017
Machine ethics offers an alternative solution for artificial intelligence (AI) safety governance. In order to mitigate risks in human-robot interactions, robots will have to comply with humanity’s e...

Why artificial intelligence could be key to future-proofing the grid

  03 Feb 2017
A recent Conversation piece pointed out that the British electricity mix in 2016 was the cleanest in 60 years, with record capacity from renewable energy, mainly from wind and solar power. But one pro...

Wearable AI that can detect the tone of a conversation

  01 Feb 2017
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...

Building character AI through machine learning

  01 Feb 2017
Modern character AI could be better. I’m unaware of any NPCs or electronic toy characters that can sustain an illusion of life over more than an hour. They suffer from predictability, simplicity, a...

The infrastructure of life part 1: Safety

  26 Jan 2017
Part 1: Autonomous Systems and Safety We all rely on machines. All aspects of modern life, from transport to energy, work to welfare, play to politics depend on a complex infrastructure of physical...

What is machine learning?

  16 Jan 2017
In this fascinating animation from Oxford Sparks, we take a look at how statistics and computer science can be used to make machines that learn for themselves, without being explicitly programmed....

Brian Cox presents Science Matters: Machine learning and artificial intelligence

  11 Jan 2017
We're beginning to see more and more jobs being performed by machines, even creative tasks like writing music or painting can now be carried out by a computer. But how and when will machines be abl...

How the brain recognizes faces

  01 Dec 2016
MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models ha...

mROBerTO: The modular millirobot for swarm behavior studies

  26 Oct 2016
Developed by a team at the University of Toronto, mROBerTO (milli-ROBot TORonto) is designed for swarm-robotics researchers who might wish to test their collective-behavior algorithms with real physic...

Automation should complement professional expertise, not replace it

  19 Oct 2016
Will your next doctor be an app? A cost-cutting NHS wants more patients to act as “self-carers,” with some technologized assistance. A series of flowcharts and phone trees might tell parents whose...
ep.

219

podcast

ICRA 2016: Landmine Detection Challenge, with Edson Prestes

  16 Oct 2016
In this episode, Audrow Nash interviews Edson Prestes, Professor at Federal University of Rio Grande do Sul and an organizer of the Humanitarian Robotics and Automation Technology Challenge (HRATC) 20...
ep.

218

podcast

RSS 2016 Posters, with Gangyuan Jing, Rico Jonschkowski, Matthew Gombolay and Dorsa Sadigh

  03 Oct 2016
In this episode, Audrow Nash interviews several researchers presenting their work at the Robotics Science and Systems (RSS) 2016 conference in Ann Arbor, Michigan....
ep.

214

podcast

Project Ngulia: From Phone to Drone, with Fredrik Gustafsson

  06 Aug 2016
In this episode, Audrow Nash interviews Fredrik Gustafsson, Professor in Sensor Informatics at Department of Electrical Engineering in Linköping University, about an initiative to reduce poaching in ...

Towards building brain-like cognition and control for robots

and   27 Jan 2016
The idea of connecting brain-inspired models of computation to robots is probably as old as the discipline of robotics itself; as far back as 1950, neurophysiologist William Grey Walter had already co...

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...

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

  31 Jul 2015
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. ...

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

  04 Jun 2015
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....

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

  22 May 2015
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...

Talking Machines: Interdisciplinary data, with David Blei

  07 May 2015
[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...
ep.

181

podcast

bStem, with Todd Hylton

  01 May 2015
[clear] 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 appro...

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

  24 Apr 2015
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...

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

  09 Apr 2015
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...

Video: Giving robots and prostheses a sense of touch

The UCLA Biomechatronics Lab develops a language of touch that can be "felt" by computers and humans alike. Research engineers and students in the University of California, Los Angeles (UCLA) Biomech...







Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association