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ESE Spring Colloquium – “The One Learning Algorithm Hypothesis– Towards Universal Machine Learning Models and Architectures”
ESE Spring Colloquium – “The One Learning Algorithm Hypothesis– Towards Universal Machine Learning Models and Architectures”
We revisit the “One Learning Algorithm Hypothesis” of Andrew Ng (Google Brain) according to which the brain of higher-level animals and of humans processes and perceives sensory data (vision, sound, haptics) with the same abstract algorithmic architecture. We develop models, based on our earlier work on automatic target recognition with radar and other sensors, face […]