Electrical & Computer

Toward more efficient computing, with magnetic waves

MIT researchers have devised a novel circuit design that enables precise control of computing with magnetic waves — with no electricity needed. The advance takes a step toward practical magnetic-based devices, which have the potential to compute far more efficiently than electronics. Classical computers rely on massive amounts of electricity …

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Producing better guides for medical-image analysis

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis.   One use of medical image analysis is to crunch datasets of patients’ medical images and capture structural relationships that may indicate the progression of diseases. In …

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Smart systems for semiconductor manufacturing

Integrating smart systems into manufacturing offers the potential to transform many industries. Lam Research, a founding member of the MIT.nano Consortium and a longtime member of the Microsystems Technology Lab (MTL) Microsystems Industrial Group, explored the challenges and opportunities smart systems bring to the semiconductor industry at its annual technical symposium, …

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How to design and control robots with stretchy, flexible bodies

MIT researchers have invented a way to efficiently optimize the control and design of soft robots for target tasks, which has traditionally been a monumental undertaking in computation. Soft robots have springy, flexible, stretchy bodies that can essentially move an infinite number of ways at any given moment. Computationally, this …

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Autonomous system improves environmental sampling at sea

An autonomous robotic system invented by researchers at MIT and the Woods Hole Oceanographic Institution (WHOI) efficiently sniffs out the most scientifically interesting — but hard-to-find — sampling spots in vast, unexplored waters. Environmental scientists are often interested in gathering samples at the most interesting locations, or “maxima,” in an environment. …

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Self-transforming robot blocks jump, spin, flip, and identify each other

Swarms of simple, interacting robots have the potential to unlock stealthy abilities for accomplishing complex tasks. Getting these robots to achieve a true hive-like mind of coordination, though, has proved to be a hurdle. In an effort to change this, a team from MIT’s Computer Science and Artificial Intelligence Laboratory …

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System prevents speedy drones from crashing in unfamiliar areas

Autonomous drones are cautious when navigating the unknown. They creep forward, frequently mapping unfamiliar areas before proceeding lest they crash into undetected objects. But this slowdown isn’t ideal for drones carrying out time-sensitive tasks, such as flying search-and-rescue missions through dense forests.   Now MIT researchers have developed a trajectory-planning …

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Pushy robots learn the fundamentals of object manipulation

MIT researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset — the largest and most diverse of its kind — researchers can train robots to “learn” pushing dynamics that are fundamental to many complex object-manipulation tasks, …

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