Wall Street Journal reporter Robert Lee Hotz writes that scientists from the Laser Interferometer Gravitational-Wave Observatory (LIGO) have successfully detected two black holes merging for the third time. MIT’s David Shoemaker, spokesperson for the LIGO Scientific Collaboration, explains that the discovery shows, “we are really moving to a new astronomy of gravitational waves.”
In this article and video, CNBC reporter Anmar Frangoul explores Prof. Vladimir Bulović’s work developing ultra-light and thin solar cells that could be used to power electronic devices and could eventually be scaled to power buildings. Bulović explains that over the next decade, “a very significant fraction of the world’s electricity will be provided by solar.”
The Economist writes about new research from Prof. Chris Voigt, in which “he and his colleagues demonstrate how to control customised cells with coloured light.”
STAT reporter Eric Boodman writes that MIT researchers have engineered living materials that glow when they detect certain chemicals. Boodman notes that the researchers hope the living sensors “could at some point be used to pick up dangerous toxins or the chemical signs of disease.”
CSAIL researchers have developed software that allows users to design and virtually test drones, writes Alex Davies for Wired. Graduate student Tao Du explains that the software can help users “explore and try different shapes and different controllers.”
Reporting for the PBS NewsHour, Nsikan Akpan highlights a new study co-authored by MIT researchers that examines how many NIH grants lead to new patents and medications. Prof. Pierre Azoulay explains that the study, “provides evidence that the research done in the public sector is useful — it’s relevant for the research done by private-sector firms.”
Newsweek reporter Jessica Wapner writes about a new study by MIT researchers that provides evidence that NIH funding contributes to a large number of patents in the field of biomedicine. The findings indicate that NIH-funded research “is not being done in an ivory tower,” explains Prof. Pierre Azoulay. “Companies use it as input in their own discovery efforts.”
Los Angeles Times reporter Melissa Healy writes that a new study by Prof. Pierre Azoulay examining the impact of NIH-funded research shows that NIH funding, “fuels the kinds of innovations that drive the U.S. economy.” Azoulay explains, “NIH public funding expenditures have large effects on the patenting output of the private sector.”
A study by Prof. Pierre Azoulay demonstrates the significant impact of NIH funding on biomedical patents, reports Carolyn Johnson for The Washington Post. Azoulay explains, “if your view was that the research done by academics...[has] no ramifications for the real world and the development of new medicines — well, that view is not correct.”
CSAIL researchers have developed a system that allows robots to correct their mistakes based on input from the brainwaves of human operators, reports Wired’s Matt Simon. “It’s a new way of controlling the robot,” explains Prof. Daniela Rus, “in the sense that we aim to have the robot adapt to what the human would like to do.”
Anthony Cuthbertson of Newsweek writes that CSAIL researchers have developed a system that allows robots to change their actions based on feedback from the brain waves of a human operator. “Imagine robots or smartphones that could immediately correct themselves when you realize they’re making a mistake,” says PhD candidate Joseph DelPreto.
CSAIL researchers have developed a system that allows robots to detect brain signals generated by human operators, writes Oscar Williams of Huffington Post. The researchers hope the new system could “pave the way for more seamless interactions between robots and humans.”
A feedback system developed by CSAIL researchers allows humans to correct a robot’s mistakes using brain signals, writes Janet Burns for Forbes. The system could be used as a “communication method for those who can't use verbal means, such as immobilized or even 'locked in' victims of paralysis,” explains Burns.
MIT researchers have developed a device that allows humans to guide robots using brainwaves, reports Clive Cookson for the Financial Times. The prototype brain-computer interface “enables a human observer to transmit an immediate error message to a robot, telling it to fix a mistake when it does something wrong.”
New Scientist reporter Matt Reynolds writes that MIT researchers have developed a new brain-computer interface that enables people to correct robots’ mistakes using brain signals. “We’re taking baby steps towards having machines learn about us, and having them adjust to what we think,” explains Prof. Daniela Rus, director of CSAIL.