COVID-19 will Accelerate High-Efficiency AI in 2021


Francisco Webber: My interest in information technology arose during my medical studies when I worked with the Vienna General Hospital and could not find relevant patient information hidden in data silos. After that experience, I spent a lot of time exploring search engine technologies, looking for the ultimate search engine. The state-of-the-art approaches and the statistical modelling-based information retrieval theories behind them did not satisfy me, and at some point, I turned towards neurosciences. The Hierarchical Temporal Memory (HTM) theory, described by Jeff Hawkins for the first time in his book On Intelligence, gave me the idea that a new interpretation of how the brain processes information could be the code breaker of all hurdles encountered by natural language understanding solutions. And if yes, will that make language computable?

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