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machine learning


Automatic image retouching system

The data captured by today’s digital cameras is often treated as the raw material of a final image. Before uploading pictures to social networking sites, even casual cellphone photographers might sp...
03 August 2017, by

Talking Machines: Bias variance dilemma for humans and the arm farm, with Jeff Dean

In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about how t...
03 July 2017, by

Shrinking data for surgical training

Laparoscopy is a surgical technique in which a fiber-optic camera is inserted into a patient’s abdominal cavity to provide a video feed that guides the surgeon through a minimally invasive procedure...
21 June 2017, by

Talking Machines: Overfitting and asking ecological questions, with Professor (Emeritus) Tom Dietterich

In episode three, season three of Talking Machines, we dive into overfitting, take a listener question about unbalanced data and speak with Professor (Emeritus) Tom Dietterich from Oregon State Univer...
16 June 2017, by

Giving robots a sense of touch

Eight years ago, Ted Adelson’s research group at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) unveiled a new sensor technology, called GelSight, that uses physical contact...
05 June 2017, by

Talking machines: Graphons and “inferencing”

In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It's more about context than you think!) and hear an interview with Jennifer Chay...
30 May 2017, by


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What is machine learning?

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

Machine Learning with OpenAI Gym on ROS Development Studio

Imagine how easy it would be to learn skating, if only it doesn’t hurt everytime you fall. Unfortunately, we, humans,  don’t have that option. Robots, however, can now “learn” their skills o...
08 May 2017, by

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

Hosts of Talking Machines: Neil Lawrence and Ryan Adams

Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place, Neil Lawrence of Amazon is taking over as co-host. We say thank you ...
28 April 2017, by

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

Machine learning requires careful stewardship says Royal Society

The many potential social and economic benefits from advances in AI-based technologies depend entirely on the environment in which these technologies evolve, says the Royal Society. According to a new...
25 April 2017, by

Explained: Neural networks

In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique...
18 April 2017, by

Robot’s Delight: Japanese robots rap about their artificial intelligence

"Robot’s Delight - A Lyrical Exposition on Learning by Imitation from Human-Human Interaction" is a video submission that won Best Video at the 2017 ACM/IEEE International Conference on Human-Robot...
28 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

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

At what point should an intelligent machine be considered a person?

Science fiction likes to depict robots as autonomous machines, capable of making their own decisions and often expressing their own personalities. Yet we also tend to think of robots as property, and ...
22 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

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 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

Artificial intelligence and ethics: Who does the thinking?

On the 15th November 2016, the IEEE’s AI and Ethics Summit posed the question: “Who does the thinking?” In a series of key-note speeches and lively panel discussions, leading technologists, leg...
27 January 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

Learning words from pictures

Speech recognition systems, such as those that convert speech to text on cellphones, are generally the result of machine learning. A computer pores through thousands or even millions of audio files an...
16 December 2016, by

Understanding the four types of AI, from reactive robots to self-aware beings

The common, and recurring, view of the latest breakthroughs in artificial intelligence research is that sentient and intelligent machines are just on the horizon. Machines understand verbal commands, ...
30 November 2016, by

Artificial-intelligence system surfs web to improve its performance

Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions — about, say, the correlations between the industrial use of certain che...
11 November 2016, by

Making computers explain themselves

In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classi...
28 October 2016, by

Why watching Westworld’s robots should make us question ourselves

For a sci-fi fan like me, fascinated by the nature of human intelligence and the possibility of building life-like robots, it’s always interesting to find a new angle on these questions. As a re-ima...
21 October 2016, by







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