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The long-standing dream of using Artificial Intelligence (AI) to build an artificial brain has taken a significant step forward, as a team led by Professor Newton Howard from the University of Oxford has successfully prototyped a nanoscale, AI-powered, artificial brain in the form factor of a high-bandwidth neural implant.

Professor Newton Howard (pictured above and below) holding parts of the implant device

In collaboration with INTENT LTD, Qualcomm Corporation, Intel Corporation, Georgetown University and the Brain Sciences Foundation, Professor Howard’s Oxford Computational Neuroscience Lab in the Nuffield Department of Surgical Sciences has developed the proprietary algorithms and the optoelectronics required for the device. Rodents’ testing is on target to begin very soon.

This achievement caps over a decade of research by Professor Howard at MIT’s Synthetic Intelligence Lab and the University of Oxford, work that resulted in several issued US patents on the technologies and algorithms that power the device, the Fundamental Code Unit of the Brain (FCU), the Brain Code (BC) and the Biological Co-Processor (BCP) are the latest advanced foundations for anyeventual merger between biological intelligence and human intelligence. Ni2o (pronounced “Nitoo”) is the entity that Professor Howard licensed to further develop, market and promote these technologies.

Read more (Nuffield Department of Surgical Sciences website) 

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