Bernard Widrow — SPARQNOW

At-a-Glance

Professor of Electrical Engineering at Stanford University.
Co-invented the Widrow–Hoff least mean squares (LMS) adaptive algorithm with Ted Hoff.
Developed the ADALINE and MADALINE artificial neural networks.
Made fundamental contributions to digital signal processing, adaptive antennas, and adaptive filtering.
His work led to the backpropagation technique.
Namesake of "Uncle Bernie's Rule" for network training sample size.
Graduated from MIT with B.S. (1951), M.S. (1953), and Ph.D. (1956) in electrical engineering.

Biography

Bernard Widrow was an American professor of electrical engineering at Stanford University, recognized for his pioneering work in artificial neural networks. He is notably the co-inventor of the Widrow–Hoff least mean squares (LMS) adaptive algorithm, developed with his doctoral student Ted Hoff. This algorithm was foundational, leading to the creation of the ADALINE and MADALINE artificial neural networks and contributing to the development of the backpropagation technique.