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.
MIT spinout Gaia A is developing a forest management building tool aimed at providing foresters with the resources to make data-driven decisions, reports Haje Jan Kamps and Brian Heater for TechCrunch. “The company is currently using lidar and computer vision tech to gather data but is ultimately building a data platform to tackle some of the big questions in forestry,” writes Kamps and Heater.
Wired reporter Matt Simon spotlights a study by researchers from MIT and other institutions that finds smartphones in cars could be used to track the structural integrity of bridges. The findings “could pave the way (sorry) for a future in which thousands of phones going back and forth across a bridge could collectively measure the span’s health, alerting inspectors to problems before they’re visible to the human eye,” writes Simon.
Prof. Emeritus Tim Berners-Lee spoke at Lisbon’s Web Summit conference about Solid, an “open-sourced gambit to reinvent the web through new decentralized privacy-minded tools for wrangling data,” reports Harry McCracken for Fast Company. Solid was originally started as an MIT research project.
Researchers at MIT are working on a system that can track the development of Parkinson’s disease by monitoring a person’s gait speed, reports Kyle Wiggers and Devin Coldewey for TechCrunch. “The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally,” writes Wiggers and Coldewey.
Alexander Sludds, a graduate student in MIT’s Research Lab for Electronics, joins Megan Cantwell on the Science magazine podcast to discuss his team’s new method for processing data on edge devices, which are devices that connect two networks together.
Spatial Equity NYC, an online tool developed by MIT researchers and Transportation Alternatives, uses public information to address the racial and economic disparities between neighborhoods in New York City, reports Jenna Deangelis for CBS News. “Our team has focused on fostering data transparency, making open data more accessible, legible and useable,” says research associate Daniela Coray.