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machine learning
Automatic image retouching system
MIT News
03 Aug 2017
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...
Talking Machines: Bias variance dilemma for humans and the arm farm, with Jeff Dean
Talking Machines
03 Jul 2017
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...
Shrinking data for surgical training
MIT News
21 Jun 2017
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...
Talking Machines: Overfitting and asking ecological questions, with Professor (Emeritus) Tom Dietterich
Talking Machines
16 Jun 2017
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...
Giving robots a sense of touch
MIT News
05 Jun 2017
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...
Talking machines: Graphons and “inferencing”
Talking Machines
30 May 2017
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...
What is machine learning?
In this article, we explain in plain language machine learning....
Machine Learning with OpenAI Gym on ROS Development Studio
Ricardo Téllez
08 May 2017
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...
Does AI pose a threat to society?
Alan Winfield
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
The Royal Society and Will Kay
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...
Hosts of Talking Machines: Neil Lawrence and Ryan Adams
Talking Machines
28 Apr 2017
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 ...
Dr Rustam Stolkin and robots that learn: Nuclear robotics meets machine learning
The Royal Society and Susannah Odell
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...
Machine learning requires careful stewardship says Royal Society
The Royal Society
25 Apr 2017
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...
Explained: Neural networks
MIT News
18 Apr 2017
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...
Robot’s Delight: Japanese robots rap about their artificial intelligence
Dylan Glas
28 Mar 2017
"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...
Artificial intelligence: Utopia or dystopia?
Margaret Boden
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...
Artificial intelligence: Understanding how machines learn
Matt Escobar
24 Feb 2017
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 ...
At what point should an intelligent machine be considered a person?
Kyle Bowyer
22 Feb 2017
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 ...
Technical challenges in machine ethics
Yueh-Hsuan Weng
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...
Building character AI through machine learning
Brad Knox
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 Frontiers of Machine Learning: Live webcast
Robohub Editors
31 Jan 2017
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...
Artificial intelligence and ethics: Who does the thinking?
Alex Kirkpatrick
27 Jan 2017
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...
The infrastructure of life part 1: Safety
Alan Winfield
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?
Oxford Sparks
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
Robohub Editors
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...
Learning words from pictures
MIT News
16 Dec 2016
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...
Understanding the four types of AI, from reactive robots to self-aware beings
Arend Hintze
30 Nov 2016
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, ...
Artificial-intelligence system surfs web to improve its performance
MIT News
11 Nov 2016
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...
Making computers explain themselves
MIT News
28 Oct 2016
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...
Why watching Westworld’s robots should make us question ourselves
Tony Prescott
21 Oct 2016
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...
President Obama discusses artificial intelligence with Media Lab Director Joi Ito
MIT News
17 Oct 2016
When President Barack Obama agreed to guest-edit the November issue of WIRED, he selected MIT Media Lab Director Joi Ito for an exchange of ideas about artificial intelligence (AI). Their recent inter...
EQ-Radio: Detecting emotions with wireless signals
CSAIL MIT
21 Sep 2016
By measuring your heartbeat and breath, this device from MIT's Computer Science and Artificial Intelligence Lab can tell if you’re excited, happy, angry or sad
....
Machines can learn by simply observing, without being told what to look for
Roderich Gross
15 Sep 2016
We have developed a new machine learning method at the University of Sheffield called Turing Learning that allows machines to model natural or artificial systems....
Talking Machines: Machine learning and the Flint water crisis, with Jake Abernethy
Talking Machines
27 Jul 2016
In episode fourteen of season two, we discuss Perturb-and-MAP and answer a listener question about classic artificial intelligence ideas being used in modern machine learning. Plus, we speak with Ja...
Building better trust between humans and machines
MIT News
23 Jun 2016
MIT-SUTD researchers are creating improved interfaces to help machines and humans work together to complete tasks....
Talking Machines: Fantasizing cats and data numbers, with Iain Murray
Talking Machines
20 Jun 2016
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 fro...
