Machine learning

Autonomous vehicles may soon benefit from 100 times faster neuromorphic cameras

• With the capacity to capture 5,000 images per second while consuming up to 100 times less energy, event cameras which offer ultra-fast data transmission far surpass their traditional counterparts.
• A research team at the University of Zurich has been working on the integration of these new devices in driver assistance systems, which should pave the way for faster obstacle detection in autonomous vehicles.
• Event cameras, which continually capture changes in brightness on the level of individual pixels, benefit from vastly reduced data flows and storage requirements. In China, a research team has recently announced the development of a vision chip that can capture up to 10,000 images per second.
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AI researchers aim to boost collective organisation among workers for Uber and other platforms

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AI in video game design

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Cybersecurity: AI attacks and hijacking

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Combining Clustering and AI for Congestion-Free Mobile Networks

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Search and rescue: drones that detect human voices under collapsed buildings

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Voice without vocal cords: a machine learning assisted device that enables patients to speak

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