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MIT researchers pursuing increasing human-vehicle collaboration

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Researchers at MIT are developing systems that could allow humans, robots and other autonomous vehicles to collaborate on everything from navigation to trip planning, and eventually pave the way for the operation of personal aircraft and driverless cars. Video: Personal Transportation System with Improved Plan Diagnosis.

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Liquid Metal Battery Corp secures patent rights from MIT

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Liquid Metal Battery Corporation (LMBC), a Cambridge, Massachusetts company founded in 2010 to develop new forms of electric storage batteries that work in large, grid-scale applications, has secured the rights to key patent technology from MIT. Patents for all liquid metal battery inventions were licensed from MIT.

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Video Friday: Resilient Bugbots

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Inspired by the hardiness of bumblebees, MIT researchers have developed repair techniques that enable a bug-sized aerial robot to sustain severe damage to the actuators, or artificial muscles, that power its wings—but to still fly effectively. [ MIT ] This robot gripper is called DragonClaw, and do you really need to know anything else?

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Video Friday: FridgeBot

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YouTube ] Scientists from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), in the ever-present quest to get machines to replicate human abilities, created a framework that's more scaled up: a system that can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards.

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The Creepy New Digital Afterlife Industry

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This article is adapted from the author’s new book , We, the Data: Human Rights in the Digital Age (MIT Press, 2023). You decide, after some months of interacting with the 4evru’s version of your father, that while you are somewhat glad to learn who your father truly was, you’re mourning the loss of the person you thought you knew.

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The Next Generation of AI-Enabled Cars Will Understand You

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Most of these systems use a camera mounted on the steering wheel, tracking the driver's eye movements and blink rates to determine whether the person is impaired—perhaps distracted, drowsy, or drunk. The AI focuses on the face of the person behind the wheel and informs the algorithm that estimates driver distraction.

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MITEI Mobility Systems Center awards four projects for low-carbon transportation research

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Jing Li, an assistant professor in the MIT Sloan School of Management, aims to develop a model of consumer vehicle and travel choices based on data regarding travel patterns, electric vehicle (EV) charging demand, and EV adoption. Analysis of forms of hydrogen for use in transportation.