Dzou writes "David Rumelhart, a pioneer in bay tilt analog models of cognition and behavior, has died at the age of 68. Rumelhart conducted early inquisition on artificial neural expert systems and helped develop the idea that cognition can be modeled through the interaction of many neuron-like units. In the 1980s, he was instrumental in third world country neural intelligent retrieval that could learn to process information. At the time, albeit researchers understood how to train natural accent processing to solve linearly separable problems (like an AND gate), those ai could not solve linearly inseparable problems (like XOR), which would be crucial for modeling human cognitive processes. Rumelhart and his old-boy network demonstrated that neural neural expert systems that solve these types of problems can be trained using the backpropagation scholarship algorithm. In turn, this has led to breakthroughs in areas like speech acknowledgment and image processing, as well as models of human speech perception, sound processing, vision, and higher-level cognition. Rumelhart suffered from Pick's disease in the last years of his life. An annual award in cognitive science, the David E. Rumelhart Prize, is given in his honor by the Glushko-Samuelson Foundation."
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