Motherboard reporter Audrey Carleton writes that MIT researchers have developed a “filter-less portable desalination device that uses an electrical field generated by solar energy to repel charged particles like salt, bacteria, and viruses.” Research Scientist Junghyo Yoon explains that: “All indicators tell us that water scarcity is a growing problem for everyone due to rising sea levels. We don’t hope for a grim future, but we want to help people be prepared for it.”
CSAIL researchers have developed a robotic arm equipped with a sensorized soft brush that can untangle hair, reports Douglas Belkin for The Wall Street Journal. “The laboratory brush is outfitted with sensors that detect tension," writes Belkin. “That tension reads as pain and is used to determine whether to use long strokes or shorter ones.”
CSAIL researchers have developed a robotic glove that utilizes pneumatic actuation to serve as an assistive wearable, reports Brian Heater for TechCrunch. “Soft pneumatic actuators are intrinsically compliant and flexible, and combined with intelligent materials, have become the backbone of many robots and assistive technologies – and rapid fabrication with our design tool can hopefully increase ease and ubiquity,” says graduate student Yiyue Luo.
TechCrunch reporter Devin Coldewey spotlights how MIT researchers have developed a machine learning technique for proposing new molecules for drug discovery that ensures suggested molecules can be synthesized in a lab. Coldewey also features how MIT scientists created a new method aimed at teaching robots how to interact with everyday objects.
A new portable, solar-powered desalination device developed by MIT researchers can create potable drinking water with the push of a button, reports Tony Ho Tran for The Daily Beast. “The device doesn’t rely on any filters like traditional desalination machines,” writes Tran. “Instead, it zaps the water with electric currents to remove minerals such as salt particles from the water.”
MIT researchers have developed a new ultrathin material that can turn any rigid surface into a speaker, reports Haje Jan Kamps for TechCrunch. “The loudspeaker could be used in active noise cancellation, for example — combine the speaker tech with some electronics and microphones, and it could cancel out sound,” writes Kamps. “The inventors also envision immersive sound experiences, and other low-energy use cases such as smart devices, etc.”
During the AI Cures Conference, Prof. Regina Barzilay spoke with Food and Drug Administration senior staff fellow Amir Khan about how the agency intends to regulate artificial intelligence in medicine, reports Casey Ross for STAT. “’My thinking is that models should be regulated based on their functionality, and not necessarily on the input data they use,” said Barzilay.
Daily Beast reporter Tony Ho Tran writes that MIT researchers have created a new loudspeaker that is as thin as paper and produces high-quality sound. The paper-thin device “weighs roughly the same as a dime, and can be used to cover surfaces like walls and ceilings,” writes Tran. “The loudspeaker also uses a fraction of the energy a typical speaker requires, while producing comparable sound quality.”
MIT researchers have developed a new technique that uses deep learning to improve the process of drug discovery, reports Jonathan Vanian for Fortune. “The technique addresses a common problem that researchers face when using A.I. to develop novel molecular structures: life sciences experts can often face challenges synthesizing A.I.-created molecular structures,” writes Vanian.
MIT researchers have developed an ultrathin speaker that can be applied to surfaces like wallpaper, reports Andrew Liszewski for Gizmodo. “The applications for the thin-film speaker material are endless,” writes Liszewski. “In addition to being applied to interiors like office walls or even the inside of an airplane to cancel out unwanted noises, an entire car could be wrapped in a speaker, making it easier to alert pedestrians that an otherwise silent electric vehicle was approaching.”
TechCrunch reporter Kyle Wiggers spotlights how MIT researchers have developed a new computer vision algorithm that can identify images down to the individual pixel. The new algorithm is a “vast improvement over the conventional method of ‘teaching’ an algorithm to spot and classify objects in pictures and videos,” writes Wiggers.
MIT President L. Rafael Reif and Special Presidential Envoy for Climate John Kerry discussed the urgency of addressing climate change during the Climate Grand Challenges Showcase event, reports Chris Lisinski for the State House News Service. “Climate change has been called a ‘super wicked’ problem. In Boston, that might sound like a local way of saying ‘really hard,’ but this phrase is actually a technical term,” Reif said. “It describes any enormously complex societal problem that has no single right answer and no clear finish line as well as multiple stakeholders with conflicting priorities and no central authority empowered to solve it.”
Bloomberg News reporter Janet Wu speaks with President L. Rafael Reif and Special Presidential Envoy for Climate John Kerry during the Institute’s Climate Grand Challenges showcase event. “If you can capture the emissions -- literally, genuinely -- then you’re reducing the problem,” said Kerry of the importance of eliminating greenhouse gas emissions.
MIT announced five projects "targeting the world's toughest climate riddles" that were selected following a rigorous two-year competition, reports Benjamin Kail for Boston Business Journal. “Climate Grand Challenges represents a whole-of-MIT drive to develop game-changing advances to confront the escalating climate crisis, in time to make a difference,” says President L. Rafael Reif.
MIT researchers and two high school seniors have developed DualFair, a new technique for removing bias from a mortgage lending dataset, reports Hiawatha Bray for The Boston Globe. “When a mortgage-lending AI was trained using DualFair and tested on real-world mortgage data from seven US states,” writes Bray, “the system was less likely to reject applications of otherwise qualified borrowers because of their race, sex, or ethnicity.”