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MIT, Scripps study examines behavior of midwater sediment plumes from deep-sea nodule mining

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A region of the central Pacific—the Clarion Clipperton Fracture Zone (CCFZ)—is estimated to contain vast reserves of polymetallic nodules that are rich in nickel and cobalt—minerals that are commonly mined on land for the production of lithium-ion batteries in electric vehicles, laptops, and mobile phones. earlier post ).

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MIT Task Force on the Work of the Future suggests widespread autonomous driving at least a decade away

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The MIT Task Force on the Work of the Future has released a new research brief examining the future of autonomous vehicles. Our research explores the impact of autonomous vehicles on jobs and offers policy recommendations that will ease transitions and integration.

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MIT team proposes SCR emission control for hybrid aviation turbines; reducing NOx by 95%

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Now, MIT engineers are proposing using an ammonia-based selective catalytic reduction (SCR) system that could result in an approximately 95% reduction in NO x emissions in exchange for a ~0.5% —Steven Barrett, professor of aeronautics and astronautics at MIT and corresponding author. increase in block fuel burn.

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MIT engineers develop system to help autonomous vehicles see around corners; adapting ShadowCam

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To improve the safety of autonomous systems, MIT engineers have developed a system that can sense tiny changes in shadows on the ground to determine if there’s a moving object coming around the corner. The big dream is to provide ‘X-ray vision’ of sorts to vehicles moving fast on the streets.

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Autoliv and MIT AgeLab to collaborate in the research of autonomous vehicle systems

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is entering into a two-year research collaboration with the Massachusetts Institute of Technology AgeLab to develop a semi-autonomous vehicle prototype that demonstrates the future of human-centered artificial intelligence in the automotive space. —Bryan Reimer, MIT. Autoliv, Inc.

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MIT team develops new lane-change algorithm for autonomous cars

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Most existing lane-change algorithms for autonomous cars have one of two drawbacks: Either they rely on detailed statistical models of the driving environment, which are difficult to assemble and too complex to analyze on the fly; or they’re so simple that they can lead to impractically conservative decisions, such as never changing lanes at all.

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Venti Technologies secures $8M in seed round for autonomous mobility for logistics, supply chain and transportation markets

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Venti’s proprietary algorithms create powerful processing and fast reaction times, delivering practical advantages: Handling 30 – 40% change in the environment (compared to 5% for other leading industry players). The vehicles adapt to complex route conditions and can operate in unstructured and structured road environments.