take a number of observations, as he suggests, and let the machine learn the code by determining the coefficients A₀ etc. by simple curvilinear regression. The duration of previous and subsequent signals and the interpretation given to prev…In speed and information theory, I really consider that speed in the classic sense of computation is so completely irrelevant to this problem - the number of binary operations one does a second - that it does not interest me very much thoug…
Christopher Strachey
scientist · 2 mentions across 1 reading
In this course
Strachey was an early British computing pioneer who worked on machine learning and adaptive systems in the mid-twentieth century, contributing foundational ideas about how machines could learn patterns from data through regression and coefficient determination. His work appears in the course readings to support arguments about computation's relationship to information and speed, suggesting that traditional metrics of computational velocity miss what matters most about how systems actually process and respond to signals. He surfaces debates about whether classical engineering concerns (raw operational speed) or adaptive learning capacity should drive our understanding of intelligent machines.
Mentioned in 1 reading
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