Room 1034 ETB (Emerging Technologies Building)
Dr. Laszlo Kish
Noise-based logic was inspired by the stochastic neural signals in the brain. Although noise-based logic shows potential advantages as reduced power dissipation and the ability of large parallel operations with low hardware and time complexity the question still persist: is randomness really needed out of orthogonality? In this talk after introducing noise-based logic we address this one and other relevant questions.
Bio: Dr. Kish received his Doctoral degree in Solid State Physics, University of Szeged, Hungary.
He received his Docent in Solid State Physics (Habilitation), Uppsala University, Sweden 1994, and a Doctor of Science (Physics), Hungarian Academy of Science, 2001. He has an honorary doctorate from Uppsala University, Sweden, as well as the University of Szeged, Hungary.
Dr. Kish is a professor at the ECE Department at Texas A&M, and is widely known for his work on noise based computing, Kirchoff-Law-Johnson-Noise (KLJN) secure key distribution, and the application of noise to areas such as chemical and biological sensing and electronics.