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MIT Computer Science and Artificial Intelligence Laboratory
An ID tag that can reveal with near-perfect accuracy whether an item is real or fake
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Using a new method of crowdsourced feedback to help train robots could also lead to autonomous learning
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Is AI capable of predicting someone’s emotional response to events before they occur – today?
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Revolutionary 3D-Printed Devices Can Sense Their Movement with Built-in Sensors
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A new algorithm for the automatic assembly of products encompassing thousands of objects
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A very different machine-learning method hallucinates to improve text translation
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An easier way to teach robots new skills in only 10 to 15 minutes
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A new approach to tactile sensing is based on inexpensive components that can meet or exceed the sensitivity of human skin
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Creating realistic and predictable social interactions – in robots
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Predictive, preventive, personalized and participatory medicine, known as P4, gets a big privacy and security boost from cryptography
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The capability to integrate sensing directly into the material structure of objects: The dawn of “intelligent” furniture?
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Fast synthetic biology circuits
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A wireless sensing technology can detect errors when medication is self-administered
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A new “liquid” neural network learns on the job; not just during its training phase
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Robomorphic computing minimizes robot’s response time in complex and human interactions
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