Information Theory
Subhash Kak completed his BE from NIT Srinagar and Ph.D. at the Indian Institute of Technology, Delhi in 1970. He taught there. During 1975-1976, he was a visiting faculty at Imperial College, London, and a guest researcher at Bell Laboratories, Murray Hill. In 1977, he was a visiting researcher at Tata Institute of Fundamental Research, Bombay. In 1979 joined Louisiana State University, Baton Rouge where he was the Donald C. and Elaine T. Delaune Distinguished Professor of Electrical and Computer Engineering. In 2007, he was appointed head of the Computer Science department at Oklahoma State University.
His research in the fields of cryptography, random sequences, artificial intelligence, and information theory have been published in peer-reviewed journals. He proposed a test of algorithmic randomness and a type of instantaneously trained neural networks (INNs) (which he and his students have called "Kak neural networks"). He claims to be amongst the first to apply information metrics to quantum systems.
Kak has argued that there are limits to the intelligence machines can have and it cannot equal biological intelligence. He asserts that:
- "...machines fall short on two counts as compared to brains. Firstly, unlike brains, machines do not self-organize in a recursive manner. Secondly, machines are based on classical logic, whereas Nature's intelligence may depend on quantum mechanics."
- ", if machines with consciousness are created, they would be living machines, that is, variations on life forms as we know them. Second, the material world is not causally closed, and consciousness influences its evolution. Matter and minds complement each other."
Kak has proposed the use of recurring decimals for error correction coding, cryptography and as random sequences.
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