news    views    podcast    learn    |    about    contribute     republish     crowdfunding     events

News

by   -   September 23, 2017


In episode nine of season three we chat about the difference between models and algorithms, take a listener question about summer schools and learning in person as opposed to learning digitally, and we chat with John Quinn of the United Nations Global Pulse lab in Kampala, Uganda and Makerere University’s Artificial Intelligence Research group.

by   -   September 20, 2017

“CodeCarbonCopy enables one of the holy grails of software engineering: automatic code reuse,” says Stelios Sidiroglou-Douskos, a research scientist at CSAIL. Credit: MIT News

by Larry Hardesty

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system that allows programmers to transplant code from one program into another. The programmer can select the code from one program and an insertion point in a second program, and the system will automatically make modifications necessary — such as changing variable names — to integrate the code into its new context.

by   -   September 20, 2017

This past week, a robotic first happened: ABB’s Yumi robot conducted the Lucca Philharmonic Orchestra in Pisa, Italy. The dual-armed robot overshadowed even his vocal collaborator, Italian tenor Andrea Bocelli. While many will try to hype the performance as ushering in a new new era of mechanical musicians, Yumi’s artistic career was short-lived as it was part of the opening ceremonies of Italy’s First International Festival of Robotics.

by   -   September 15, 2017

The field of drone delivery is currently a big topic in robotics. However, the reason that your internet shopping doesn’t yet arrive via drone is that current flying robots can prove a safety risk to people and are difficult to transport and store.

by   -   September 13, 2017

If you follow the robotics community on the twittersphere, you’ll have noticed that Rodney Brooks is publishing a series of essays on the future of robotics and AI which has been gathering wide attention.

by   -   September 13, 2017

A new method produces a printable structure that begins to fold itself up as soon as it’s peeled off the printing platform. Credit: MIT
by Larry Hardesty

As 3-D printing has become a mainstream technology, industry and academic researchers have been investigating printable structures that will fold themselves into useful three-dimensional shapes when heated or immersed in water.

by   -   September 12, 2017
Credit: Draper

Summer is not without its annoyances — mosquitos, wasps, and ants, to name a few. As the cool breeze of September pushes us back to work, labs across the country are reconvening tackling nature’s hardest problems. Sometimes forces that seem diametrically opposed come together in beautiful ways, like robotics infused into living organisms.

by   -   September 12, 2017

An image of some connected autonomous cars

by Peter Dizikes

This summer, a survey released by the American Automobile Association showed that 78 percent of Americans feared riding in a self-driving car, with just 19 percent trusting the technology. What might it take to alter public opinion on the issue? Iyad Rahwan, the AT&T Career Development Professor in the MIT Media Lab, has studied the issue at length, and, along with Jean-Francois Bonnefon of the Toulouse School of Economics and Azim Shariff of the University of California at Irvine, has authored a new commentary on the subject, titled, “Psychological roadblocks to the adoption of self-driving vehicles,” published today in Nature Human Behavior. Rahwan spoke to MIT News about the hurdles automakers face if they want greater public buy-in for autonomous vehicles.  

by   -   September 8, 2017

In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learning should be asking of themselves (not just their tools) and we hear a conversation with Ernest Mwebaze of Makerere University.

by   -   September 8, 2017
MIT President L. Rafael Reif, left, and John Kelly III, IBM senior vice president, Cognitive Solutions and Research, shake hands at the conclusion of a signing ceremony establishing the new MIT–IBM Watson AI Lab. Credit: Jake Belcher

IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software, and algorithms related to deep learning and other areas; increase AI’s impact on industries, such as health care and cybersecurity; and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

by   -   September 5, 2017
“The concept of my startup is, ‘Let’s use hacker tools to defeat hackers,’” PhD student Gregory Falco says. “If you don’t know how to break it, you don’t know how to fix it.”
Photo: Ian MacLellan

by Dara Farhadi

While working for the global management consulting company Accenture, Gregory Falco discovered just how vulnerable the technologies underlying smart cities and the “internet of things” — everyday devices that are connected to the internet or a network — are to cyberterrorism attacks.

by   -   September 4, 2017

Synthetic Swarm performs indoor drone show during Metallica’s European WorldWired tour

by   -   September 4, 2017

MIT engineers have devised a way to automate the process of monitoring neurons in a living brain using a computer algorithm that analyzes microscope images and guides a robotic arm to the target cell. In this image, a pipette guided by a robotic arm approaches a neuron identified with a fluorescent stain.
Credit: Ho-Jun Suk

by Anne Trafton

Recording electrical signals from inside a neuron in the living brain can reveal a great deal of information about that neuron’s function and how it coordinates with other cells in the brain. However, performing this kind of recording is extremely difficult, so only a handful of neuroscience labs around the world do it.


Mike Salem from Udacity’s Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material.

by   -   September 1, 2017
ComText allows robots to understand contextual commands such as, “Pick up the box I put down.”
Photo: Tom Buehler/MIT CSAIL

by Adam Conner-Simons & Rachel Gordon

Despite what you might see in movies, today’s robots are still very limited in what they can do. They can be great for many repetitive tasks, but their inability to understand the nuances of human language makes them mostly useless for more complicated requests.

← previous page        ·         next page →



High-Performance Autonomous Vehicles
October 14, 2017


Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign