Algorithm AI-Cognition

What is machine learning?

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

Does AI pose a threat to society?

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...
03 May 2017, by

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

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...
01 May 2017, by and

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

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...
27 April 2017, by and

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...



bots_alive, with Bradley Knox

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...
18 March 2017, by

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Choreographing automated cars could save time, money and lives

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...
15 March 2017, by

Should an artificial intelligence be allowed to get a patent?

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...
09 March 2017, by

Mind control: Correcting robot mistakes using EEG brain signals

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...
06 March 2017, by

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

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

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 “...
21 February 2017, by

Putting data in the hands of doctors

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...
17 February 2017, by

5 global problems that AI could help us solve

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...
10 February 2017, by

Technical challenges in machine ethics

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...
08 February 2017, by

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

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...
03 February 2017, by

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

Building character AI through machine learning

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...
01 February 2017, by

The infrastructure of life part 1: Safety

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...
26 January 2017, by

What is machine learning?

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....
16 January 2017, by

Brian Cox presents Science Matters: Machine learning and artificial intelligence

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...
11 January 2017, by

How the brain recognizes faces

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...
01 December 2016, by

mROBerTO: The modular millirobot for swarm behavior studies

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...
26 October 2016, by

Automation should complement professional expertise, not replace it

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...
19 October 2016, by



ICRA 2016: Landmine Detection Challenge, with Edson Prestes

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...
16 October 2016, by



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

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



Project Ngulia: From Phone to Drone, with Fredrik Gustafsson

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 ...
06 August 2016, by

Towards building brain-like cognition and control for robots

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...
27 January 2016, by and

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

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. ...
31 July 2015, by

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

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....
04 June 2015, by

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©2021 - ROBOTS Association