Researchers from the Future of Data Initiative at MIT have published a white paper examining “how to design more accountable and traceable financial data systems,” reports Ben Schreckinger for Politico. Senior research scientist Daniel Weitzner says information accountability “means that uses of personal data should be visible to data subjects. And that the companies or government who use personal data should be accountable for misuse.”
Popular Science reporter Jamie Dickman writes that using liquid neural networks, MIT researchers have “trained a drone to identify and navigate toward objects in varying environments.” Dickman notes that: “These robust networks enable the drone to adapt in real-time, even after initial training, allowing it to identify a target object despite changes in their environment.”
Researchers at MIT have developed a new type of autonomous drone that uses advanced neural networks to fly, reports Tony Ho Tran for The Daily Beast. “The new design allows the drone to make better decisions when flying through completely new environments,” writes Tran, “and could have future applications in self-driving cars, search and rescue operations, wildlife monitoring, or even diagnosing medical issues.”
Prof. Marzyeh Ghassemi speaks with WBUR reporter Geoff Brumfiel about her research studying the use of artificial intelligence in healthcare. “When you take state-of-the-art machine learning methods and systems and then evaluate them on different patient groups, they do not perform equally,” says Ghassemi.
Principal Research Scientist Leo Anthony Celi co-authored a study that found “a lack of racial and gender diversity could be hindering the efforts of researchers working to improve the fairness of artificial intelligence (AI) tools in health care,” reports Carissa Wong for Nature.
MIT researchers have found that by “encouraging strategic EV charging placement, rather than allowing EV chargers to be situated merely due to charging company convenience or preferences” it may be possible to “mitigate or eliminate EV charging problems without the need for advanced technological systems of connected devices and real-time communications, which could add to costs and energy consumption,” reports Carolyn Fortuna for CleanTechnica.
MIT researchers have found that placing EV charging stations in strategic locations and setting up charging systems to initiate charging at delayed times could help reduce the impact of EVs on the electrical grid, reports Michael Schoeck for PV Magazine.
MIT scientists have found that delayed charging and strategic placement of EV charging stations could help reduce additional energy demands caused by more widespread EV adoption, reports Grace Carroll for Fast Company. “Leveraging these two strategies together significantly eliminates any additional energy demands,” writes Carroll, “and can be tailored to specific local conditions to help cities meet their decarbonization goals.”
A new study by MIT researchers finds that strategic placement of EV charging stations and creating systems to help stagger charging times could help reduce or eliminate the need for new power plants to handle the impact of EV charging on the grid, reports Sharon Udasin and Saul Elbein for The Hill. The researchers found that “better availability of charging stations at workplaces could help take advantage of peak power being produced midday by solar energy facilities.”
Popular Science reporter Andrew Paul writes that MIT engineers have developed a new chip for smart phones that blocks unwanted signals, which could “greatly reduce production costs, make devices smaller and more efficient, and potentially even improve battery life.” Graduate student Soroush Araei explains that “our research can make your devices work better with fewer dropped calls or poor connections caused by interference from other devices.”
Associate Prof. Sarah Williams speaks with Erin Langer at Metropolis about the Civic Data Design Lab’s Motivational Tapestry, a large woven art piece that uses data from the United Nations World Food Program to visually represent the individual motivations of 1,624 Central Americans who have migrated to the U.S. “By allowing a dialogue to open up and be less defensive, art allows us to understand and conceptualize an issue from a different vantage point,” explains Williams.
Prof. Sarah Williams speaks with Erin Langer at Metropolis about the Civic Data Design Lab’s Motivational Tapestry, a large woven art piece that uses data from the United Nations World Food Program to visually represent the individual motivations of 1,624 Central Americans who have migrated to the U.S. “By allowing a dialogue to open up and be less defensive, art allows us to understand and conceptualize an issue from a different vantage point,” explains Williams.
Kevin Hu SB ’13, SM ’15, PhD ’19 co-founded Metaplane, a startup aimed at providing users with data analytics-focused tools, reports Kyle Wiggers for TechCrunch. “Metaplane monitors data using anomaly detection models trained primarily on historical metadata. The monitors try to account for seasonality, trends and feedback from customers, Hu says, to minimize alert fatigue, “writes Wiggers.
A review led Prof. Marzyeh Ghassemi has found that a major issue in health-related machine learning models “is the relative scarcity of publicly available data sets in medicine,” reports Emily Sohn for Nature.
Research scientist Ryan Hamerly and his team are working to harness “the low power consumption of hybrid optical devices for smart speakers, lightweight drones and even self-driving cars,” reports The Economist.