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soft robotic grippers
CSAIL article

One of the hottest topics in robotics is the field of soft robots, which utilizes squishy and flexible materials rather than traditional rigid materials. But soft robots have been limited due to their lack of good sensing. A good robotic gripper needs to feel what it is touching (tactile sensing), and it needs to sense the positions of its fingers (proprioception). Such sensing has been missing from most soft robots.

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City of Boston
CSAIL article

In our current and evolving circumstances surrounding the novel coronavirus outbreak, we are advised to avoid sharing rides with other passengers as part of the effort to slow the spread of the disease. As in other markets, these necessary practices are impacting the shared transportation industry. But some businesses are rising to the challenge and rethinking how they use their existing ride-sharing technology to help during the crisis.

manufacturing
July 13-17, 2020

Registration Deadline: July 6, 2020. Fuel your organization’s ability to produce large volumes of highly integrated, complex, customized products by leveraging intelligent design and manufacturing. Over the course of five days, you’ll explore the latest smart manufacturing strategies with Professor Wojciech Matusik, head of MIT’s Computational Fabrication Group.

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computer vision
July 6-10, 2020

Registration Deadline: June 22, 2020. This course covers the latest developments in vision AI, with a sharp focus on advanced deep learning methods, specifically convolutional neural networks, that enable smart vision systems to recognize, reason, interpret and react to images with improved precision.

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deep learning
July 20-21, 2020

Registration Deadline: In this two-day course, you’ll discover how to utilize deep learning strategies to fully extract meaningful information from large amounts of data and learn to build custom hardware that makes deep learning relevant to your organization.

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engineering
June 1-5, 2020

Registration Deadline: May 27, 2020. Computer science is experiencing a fundamental shift in its approach to modeling and problem solving. In this accelerated five-day course, you’ll learn how to boil real-world challenges down to their computational essence and master cutting-edge software that automatically identifies optimal solutions to numerical problems.

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