![]() Superpod platform for $90K a monthĪrtificial intelligence has made extraordinary advances when it comes to understanding words and even being able to translate them into other languages. Read the eerily beautiful ‘synthetic scripture’ of an A.I. Nvidia lowers the barrier to entry into A.I. results prove that ARM is ready for the data center Their end goal is to integrate the system into an implant that could translates the thoughts directly into words.Ī paper detailing the research was published last month in the journal Scientific Reports.Īnalog A.I.? It sounds crazy, but it might be the future Moving forward, the researchers plan to trial more complicated words before moving on to sentences. But the researchers found that individuals could understand and repeat the sounds about 75 percent of the time. system was used to “clean up” the vocoder to more intelligible levels, vaguely recognizable. The sounds it produces are robotic and, even after an A.I. The researchers then recorded the patients’ brain activity as they listened to people count to nine, which the vocoder attempted to recite by analyzing the neural signals. The patterns in their brain activity trained the vocoder. Mesgarani and Metah asked some of Metah’s patients to listen to speech recordings and measured their brain activity. But to train the vocoder, Mesgarani needed brain models, so he partnered with Ashesh Dinesh Metah, a neurosurgeon at Northwell Health Physician Partners Neuroscience Institute in New York who treats epilepsy patients. In their recent work, Mesgarani and his team used a computer algorithm called a vocoder, which can generate speech-like sounds when trained on recordings of human speech. For years, scientists like Mesgarani have tried to translate brain activity to intelligible thought, using tools like computer models to analyze visual representations of sound frequencies. Neural researchers have long endeavored to decode the patterns that emerge in these signals. Parts of the brain light up like a Christmas tree - neurons firing left and right - when people speak or even simply think about speaking. beat human engineers at designing microchips? Google thinks so The funny formula: Why machine-generated humor is the holy grail of A.I.
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