When will computer hardware match the human brain?
| Abstract | Computers have far to go to match human strengths, and our estimates will depend on analogy and extrapolation. Fortunately, these are grounded in the first bit of the journey, now behind us. Thirty years of computer vision reveals that 1 MIPS can extract simple features from real-time imagery--tracking a white line or a white spot on a mottled background. 10 MIPS can follow complex gray-scale patches--as smart bombs, cruise missiles and early self-driving vans attest. 100 MIPS can follow moderately unpredictable features like roads--as recent long NAVLAB trips demonstrate. 1,000 MIPS will be adequate for coarse-grained three-dimensional spatial awareness--illustrated by several mid-resolution stereoscopic vision programs, including my own. 10,000 MIPS can find three-dimensional objects in clutter--suggested by several "bin-picking" and high-resolution stereo-vision demonstrations, which accomplish the task in an hour or so at 10 MIPS. The data fades there--research careers are too short, and computer memories too small, for significantly more elaborate experiments | |||||||||
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W. Oberschelp (1998). The Sorcerer and the Apprentice. Human-Computer Interaction Today. AI and Society 12 (1-2):97-104.
Nick Bostrom (1998). How Long Before Superintelligence? International Journal of Futures Studies 2.
John R. Searle (1980). Minds, Brains and Programs. Behavioral and Brain Sciences 3:417-57.
Philip Brey (2005). The Epistemology and Ontology of Human-Computer Interaction. Minds and Machines 15 (3-4).
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