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Electronic Machine Intelligence Lab


In this lab we implement A.I. algorithms in microelectronics (CMOS) hardware. This hardware is primarily intended for biomedical applications with a special emphasis on DNA sequencing. Secondary applications are in digital communications and computer networks.

The A.I. is usually used to extract working information from large amounts of noisy streaming signals. Thus, real-time operation is important which requires efficient hardware realization (i.e. lots of operations for little power). Since we work close to the sensors, not only digital VLSI implementations are researched but so is the analog CMOS circuitry (i.e. amplification, filtering, sampling, etc.) responsible for conditioning weak, but high-speed, measurements for digital consumption.


Sebastian Magierowski
Department of Electrical Engineering and Computer Science
Lassonde School of Engineering
York University
4700 Keele Street, LAS 1012M
Toronto, Ontario CANADA

Last modified:
2017/10/29 13:44