Computer science and technology

MIT researchers have developed a virtual reality environment in order to train drones, writes Logan Booker of Gizmodo. “It's a neat use of an emerging technology, one that makes a lot of sense when you think about it,” Booker concludes.

In an effort to determine how different data impacts the view of AI, Media Lab researchers used gruesome images to train a system, which ultimately created a psychopathic AI, writes BBC reporter Jane Wakefield. "It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves," says Prof. Iyad Rahwan.

Prof. Patrick Winston is teaching a computer to read a truncated version of Macbeth in an effort to determine “how to build computer systems that can simulate the human mind’s unique powers of perception and insight,” writes Andy Rosen for The Boston Globe. Winston believes understanding stories is “a fundamental differentiating capability of us humans. And machines don’t have it yet.”

CSAIL researchers have developed a new system that could be used to train machines to complete tasks, writes Patrick Lucas Austin for Gizmodo. The researchers hope the system could eventually be used to, “teach robots how to accomplish tasks simply by showing them actual instructional videos,” Austin explains.

MIT researchers have created a system that aims to teach robots how to perform household chores by breaking down activities into simple steps, reports Sean Captain for Fast Company. Captain explains that in order to simplify each chore, the researchers, “identified sub-tasks to describe thousands of duties in settings such as kitchens, dining rooms, and home offices.”

Wired reporter Matt Simon writes that CSAIL researchers have developed a new virtual system that could eventually be used to teach robots how to perform household chores. Researchers hope the system could one day help robots, “learn to anticipate future actions and be able to change the environment for the human,” explains PhD student Xavier Puig.

Wired reporter Jack Stewart highlights how MIT researchers have developed a 3-D printed autonomous boat that could be used to ferry goods or people. The boats could eventually, “use their onboard GPS sensors and inertial measurement units to precisely position themselves in packs, forming instant floating bridges, or stages, or platforms for pop-up food markets on the water.”

In this Bloomberg radio segment, Prof. Daniela Rus discusses her work developing a fleet of autonomous 3-D printed boats that could not only transport goods and people, but also self-assemble into bridges and other structures. Rus explains that she is, “very excited about the idea of taking the autonomy technologies we have in driverless cars and applying them to other vehicles.”

In an article for Inside Higher Ed, Ray Schroeder writes about a new tool developed by Media Lab researchers that allows humans to communicate with computers. After summarizing the technology and exploring its potential implications for educators, Schroeder asks: “Are you prepared to leverage this technology in teaching and learning?”

Last year, the startup Learning Machine launched a program at Sloan and the Media Lab that placed important documents, like transcripts and diplomas, on the blockchain. Now, reports Danny Crichton for TechCrunch, the company is working with the Media Lab on an initiative called BlockCerts, “an open source and open standard securing credentials on the blockchain.”

CSAIL researchers have developed a system that uses LIDAR and GPS to allow self-driving cars to navigate rural roads without detailed maps, writes Tracey Lindeman of Motherboard. Autonomous ride-hailing or car-sharing is important in rural communities because “the carless in these areas have few transportation options; many small communities don’t even have public buses,” notes Lindeman.

Eric Mack writes for Forbes about a new system from MIT researchers that uses GPS in conjunction with LIDAR and IMU sensors to power self-driving vehicle navigation. Graduate student Teddy Ort says the system “shows the potential of self-driving cars being able to actually handle roads beyond the small number that tech companies have mapped.”

Writing for The Verge, Angela Chen highlights advances in AI that are allowing researchers to discover and understand new materials at a rapid pace. Chen cites a study co-authored by Assistant Prof. Elsa Olivetti, who “developed a machine-learning system that scans academic papers to figure out which ones include instructions for making certain materials.”

Paul Solman of PBS NewsHour talks with computer scientist Neha Narula to explain how Bitcoin works. “Part of Bitcoin’s threat model is that no single entity ends up getting a majority of the processing power in the network,” says Narula. “If somebody got 51 percent of the processing power in the network, they could theoretically rewrite history and change the state of transactions in the ledger.”

After several years of experimentation, graduate student Arnav Kapur developed AlterEgo, a device to interpret subvocalization that can be used to control digital applications. Describing the implications as “exciting,” Katharine Schwab at Co.Design writes, “The technology would enable a new way of thinking about how we interact with computers, one that doesn’t require a screen but that still preserves the privacy of our thoughts.”