MIT engineers have developed a new technique that enables bug-sized aerial robots to handle a sizeable amount of damage and still fly, reports Andrew Paul for Popular Science. “The new repair techniques could come in handy when using flying robots for search-and-rescue missions in difficult environments like dense forests or collapsed buildings,” writes Paul.
Postdoc Saverio Cambioni speaks with Andrew Corselli of Tech Briefs about NASA’s DART mission, which was aimed at testing a method to protect Earth in case of an asteroid impact threat. “DART showed that it is technologically possible to intercept and impact a sub-kilometer asteroid, with limited prior knowledge of its shape and surface properties,” Cambioni explains.
Researchers at MIT have predicted that without improvements in hardware efficiency, energy consumption and emissions from autonomous vehicles could be “comparable to that of data centers today,” reports Sarah Wells for Popular Mechanics. “In order to reduce the future carbon footprint of AVs, scientists will need to make the computing systems of AVs, including smart sensors, far more efficient,” writes Wells.
MIT researchers have constructed a mini city to test to safely test algorithms designed for autonomous vehicles, reports Mashable. “The idea of the mini city is that we have lots of cars going at the same time and we can actually test out new algorithms in a safe environment,” says graduate student Noam Buckman.
Researchers at MIT have developed an autonomous vehicle with “mini sensors to allow it to see the world and also with an artificially intelligent computer brain that can allow it to drive,” explains postdoctoral associate Alexander Amini in an interview with Mashable. “Our autonomous vehicles are able to learn directly from humans how to drive a car so they can be deployed and interact in brand new environments that they’ve never seen before,” Amini notes.
An MIT study has found that the wide spread adoption of self-driving cars could lead to increased carbon emissions, reports Rima Sabina Aouf for Dezeen. “The study found that with a mass global take up of autonomous vehicles, the powerful onboard computers needed to run them could generate as many greenhouse gas emissions as all the data centers in operation today,” writes Aouf.
A new study by MIT researchers finds that “the energy required to run computers in a future global fleet of autonomous vehicles could produce as much greenhouse gas emissions as all the data centers in the world,” reports Sharon Udasin for The Hill. The researchers found that “1 billion such cars, each driving for an hour daily, would use enough energy to generate the same amount of emissions that data centers do today.”
Politico reporter Derek Robertson writes that a new study by MIT researchers finds the computing power required to replace the world’s auto fleet with AVs would produce about the same amount of greenhouse gas emissions as all the data centers currently operating. Robertson writes that the researchers view the experiment “as an important step in getting auto- and policymakers to pay closer attention to the unexpected ways in which the carbon footprint for new tech can increase.”
Graduate student Soumya Sudhakar speaks with BBC Digital Planet host Gareth Mitchell about her new study showing that hardware efficiency for self-driving cars will need to advance rapidly to avoid generating as many greenhouse gas emissions as all the data centers in the world.
Using statistical modeling, MIT researchers have found that the energy needed to power a fleet of fully autonomous EVs could generate as much carbon emissions as all the world’s data centers combined, reports Andrew Paul for Popular Science.
Washington Post reporter Pranshu Verma writes that a new study by MIT researchers finds the “future energy required to run just the computers on a global fleet of autonomous vehicles could generate as much greenhouse gas emissions as all the data centers in the world today.”
Researchers from MIT and the Amsterdam Institute for Advanced Metropolitan Solutions have been developing an electric autonomous trash boat, reports Sarah Holder for Bloomberg. The boats “could reduce noise, pollution, and congestion, thus improving the quality of Amsterdam’s historic cityscape.”
Prof. Fadel Adib speaks with CBC Radio about his lab’s work developing a wireless, battery-free underwater camera that runs on sound waves. "We want to be able to use them to monitor, for example, underwater currents, because these are highly related to what impacts the climate," says Adib. "Or even underwater corals, seeing how they are being impacted by climate change and how potentially intervention to mitigate climate change is helping them recover."
Loh Down on Science host Sandra Tsing Loh spotlights Prof. Cathy Wu and graduate student Vindula Jayawardana and their work developing a new method for self-driving vehicles that would help minimize idling at red lights. “In their method, self-driving can be taught to minimize stops at red lights. To make this work, traffic lights and self-driving cars would have sensors. This would let them check in with each other on their surroundings,” says Loh.
Sharing automated vehicle data with the public can fundamentally change the way regulators, police departments, insurance companies and other organization understand the risks of drive-assistance systems, report Cade Metz and Ella Koeze for The New York Times. “This can help separate crashes related to technology from crashes related to driver error,” says research engineer Bryan Reimer.