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.
Fast Company reporter Elissaveta Brandon writes that a team of scientists from MIT and elsewhere have developed an amphibious artificial vision system inspired by the fiddler crab’s compound eye, which has an almost 360-degree field of view and can see on both land and water. “When translated into a machine,” writes Brandon, “this could mean more versatile cameras for self-driving cars and drones, both of which can become untrustworthy in the rain.”
Research scientist Bryan Reimer and his colleagues have been collecting data from vehicles with driver-assist technology for the last seven years, writes Pete Bigelow for Automotive News. “We desperately need to understand the denominators, the frequency of events and the behaviors underlying them to understand the benefits and limitations of automated and assisted driving,” says Reimer. “We need to understand which aspects are working well and which ones need refining.”
A study by MIT AgeLab research scientist Bryan Reimer found that drivers using autopilot were “more likely to look away from the road once the system was on,” reports Aarian Marshall for Wired. “With automation comes an inherent new level of complexities. There are lots of risks and lots of rewards,” says Reimer.
TechCrunch reporters Kyle Wiggers and Devin Coldewey spotlight how MIT researchers developed a new technique for simulating an overall system of independent agents: self-driving cars. “The idea is that if you have a good amount of cars on the road, you can have them work together not just to avoid collisions but to prevent idling and unnecessary stops at lights,” write Wiggers and Coldewey.
Financial Times reporter William D. Cohan profiles Robert Joseph Scaringe SM ’07, PhD ’09 and his personal and professional career in developing Rivian, an electric vehicle technology company dedicated to building vehicles that change the way we consume fossil fuels. “Scaringe has been pining to run his own car company since he was a 17-year-old growing up on the Atlantic coast of Florida, just south of Cape Canaveral. ‘If you were to go in my bedroom as a kid, you’d find [car] hoods under the bed and windshields in the closet,’ he says.”
The driverless car industry lacks a clear business model in comparison to its competitors, reports Patrick McGee for Financial Times. “Driverless does not mean humanless,” says research scientist Ashley Nunes. “Robotaxis replace one set of human costs, the human driver, with another, inefficiency.”