Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. Publications 1965 "A critical comparison of two kinds of adaptive classification networks", K. Steinbuch and B. Widrow, IEEE Transactions on Electronic Computers, pp. 737–740. 1985 B. Widrow and S. D. Stearns. Adaptive Signal Processing. New Jersey: Prentice-Hall, Inc., 1985. 1994 B. Widrow and E. Walach. Adaptive Inverse Control. New Jersey: Prentice-Hall, Inc., 1994. 2008 B. Widrow and I. Kollar. Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications. Cambridge University Press, 2008. Honors Elected Fellow IEEE, 1976 Elected Fellow AAAS, 1980 IEEE Centennial Medal, 1984 IEEE Alexander Graham Bell Medal, 1986 IEEE Neural Networks Pioneer Medal, 1991 Inducted into the National Academy of Engineering, 1995 IEEE Signal Processing Society Award, 1999 IEEE Millennium Medal, 2000 Benjamin Franklin Medal, 2001 International Neural Network Society (INNIS) Board member 2004 He was one of the Board of Governors of the International Neural Network Society (INNIS) in 2003. References 1929 births Artificial intelligence researchers IEEE Centennial Medal laureates Living people Members of the United States National Academy of Engineering Place of birth missing (living people) Stanford University faculty