Fast Company reporter Melissa Locker writes that a study by MIT researchers examines the feasibility of harnessing laser technology to try to attract the attention of aliens. Locker explains that the researchers found that if contact was made, “lasers could potentially be used to send Morse code-like message via light pulses.”
Writing for Popular Mechanics, David Grossman highlights a feasibility study by MIT researchers that provides evidence that lasers could be used to try to locate aliens. Grossman explains that the light would be targeted toward “areas like Proxima Centauri, the closest star to Earth, and TRAPPIST-1, a star around 40 light-years away with seven exoplanets in orbit.”
MIT researchers examined why a third of Wikipedia deliberations go unresolved and developed a new tool that could be used to help resolve more discussions, reports Samantha Cole for Motherboard. Cole explains that “the tool uses the data they found and analyzed in this research, to summarize threads and predict when they’re at risk of going stale.”
USA Today reporter Brett Molina writes that MIT researchers have found laser technology could be used to attract the attention of aliens. The researchers found “creating a 1- to 2-megawatt laser focused through a telescope aimed toward space could produce a light strong enough to stand out from the energy produced by the sun."
TechCrunch reporter Ingrid Lunden highlights RapidSOS, an MIT startup that “helps increase the funnel of information that is transmitted to emergency services alongside a call for help.”
UPI reporter Tauren Dyson writes that a new feasibility study by MIT researchers shows that existing laser technology could be used to create a beacon light that could attract attention from as far as 20,000 light years away.
MIT researchers have found that laser technology could be used to attract attention from alien astronomers, reports Becky Ferreira for Motherboard. The researchers found that amplifying an infrared laser could “produce a signal that would outshine the Sun’s infrared emissions tenfold, an anomaly that would stand out to a smart species observing our solar system from a distant exoplanet.”
Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
Boston Herald reporter Jordan Graham writes that MIT researchers have developed an autonomous system that allows fleets of drones to navigate without GPS and could be used to help find missing hikers. “What we’re trying to do is automate the search part of the search-and-rescue problem with a fleet of drones,” explains graduate student Yulun Tian.
In an article for Wired, research scientist Ashley Nunes writes about the need for legislation that regulates the use of human teleoperators that can assist robotaxis in emergency situations when human judgement is needed. “Self-driving technology can deliver considerable benefits to society, but realizing those benefits will require that safety and profitability go hand-in-hand,” writes Nunes.
Writing for Science, Prof. Richard Larson writes about his decision to enter semiretirement as a professor, post-tenure, a position at MIT aimed at creating more positions for rising academics. Larson writes that after investigating the impacts of eliminating the mandatory retirement age for tenured faculty he realized he was inadvertently “blocking the way of many young scholars who seek academic careers.”
Speaking with Reuters reporters Guy Faulconbridge and Paul Sandle, Prof. Tim Berners-Lee calls for disrupting the power held by giant companies over how the internet is operated. “What naturally happens is you end up with one company dominating the field so through history there is no alternative to really coming in and breaking things up,” Berners-Lee explains. “There is a danger of concentration.”
MIT researchers have developed a language translation model that operates without human annotations and guidance, reports Liangyu for Xinhua news agency. The system, which may enable computer-based translations of the thousands of languages spoken worldwide, is “a step toward one of the major goals of machine translation, which is fully unsupervised word alignment,” Liangyu explains.
Researchers from MIT are using the brittle nature of graphene to mass produce cell-sized robots, writes David Grossman of Popular Mechanics. Called “syncells” or synthetic cells, the researchers hope they can be used in biomedical testing. “Inject hundreds into the bloodstreams and let the data fly back into sensors,” explains Grossman.
Fortune reporter Aaron Pressman highlights how Prof. Julie Shah is working on making human-robot collaboration on the assembly line more effective through the use of collaborative robots, dubbed cobots. Pressman writes that Shah “is working on software algorithms developed with machine learning that will teach cobots how and when to communicate by reading signals from the humans around them.”