IEEE Solid-State Circuits Magazine - Winter 2015 - 32
DL Jan Rabaey Visits SSCS-New York
Presents Lecture "The Return of Neuro-Inspired Computing-Why Now?"
prof. rabaey (sixth from left), sscs-NY Founding chair prof. peter Kinget (eighth from left), and prof. Yannis tsividis (ninth from left). second
from right: sscs chapter chair Mingoo seok with Ning Guo to his right. also pictured are Jianxun Zhu, sarthak Kalani, and Joao pedro cerqueira (fourth, fifth, and 11th from left, respectively). prof. tsividis was the featured scientist in the fall 2014 issue of this magazine.
Founding sscs-New York chapter
chair peter Kinget introduced prof.
Jan rabaey of the University of
california, Berkeley to members
of the columbia University-based
chapter in November.
-Mingoo Seok
SSCS-New York Chapter Chair
Digital Object Identifier 10.1109/MSSC.2014.2369338
Date of publication: 11 February 2015
32
W i n t e r 2 0 15
IEEE SOLID-STATE CIRCUITS MAGAZINE
not amenable to make neuromorphic computing
an attractive alternative.
Today, it is realized that neuro-inspired computing may be a perfect match to the properties of
the emerging nanoscale devices (such as threedimensional integration, carbon and spin devices,
nonvolatile memory cells such as RRAM, etc.): it
thrives on randomness and variability; processing is
performed in the continuous or discrete domains; and massive parallelism, major redundancy, and adaptivity are of essence. Computational
paradigms inspired by neural information processing hence may lead
to energy-efficient, low-cost, dense and/or reliable implementations of
the functions at which the brain excels at. In this presentation, we will
explore various means on how the interaction between neuroscience
and information technology may lead to an exciting future.
iStockphoto/Andrey Volodin.
abstract
Barring technology surprises (such as the discovery of a perfect nanometer switch), alternative design strategies may be necessary if the continued
scaling of functionality in terms of size and energy is to be obtained. Neuro-inspired computing is
one possible direction to be considered. Over the
past decade, the brain has been receiving a lot of
attention (e.g., the brain initiatives in the United
States and Europe), mostly from a mapping and an understanding perspective. The brain is an amazingly complex and efficient machine.
While it may not be considered "general purpose" in terms of its computational capabilities, it performs a set of functions such as feature
extraction, classification, synthesis, recognition, learning, and higherorder decision-making amazingly well. Carver Mead already realized
this in the late 1980s, yet the technological landscape at that time was
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