RESEARCH
Brain-inspired Computing
We
investigate innovative cognitive
brain-inspired circuits and systems
that mimic the mammalian brain's
information processing. We aim to
develop a reconfigurable system that
supports spike-based adaptation and
several plasticity mechanisms based on
online on-chip learning. Moreover, the
system
supports a sequence of processing
tasks (i.e., a stream of events from
sensors), produces intelligent
behavior, and adapts to the
environment. For a proof of concept,
we have prototyped a reliable
three-dimensional digital neuromorphic
system geared explicitly toward the
3D-ICs biological brain's
three-dimensional structure, named
R-NASH, where information in the
network is represented by sparse
patterns of spike timing and learning
is based on the local
spike-timing-dependent plasticity
rule. R-NASH enables real-time and
low-power solutions targeted at
full-custom VLSI and FPGA integration.
Keywords: event-driven;
stochastic;
temporal
sparsity; neuroscience;
plasticity; parallel,
scalable, spike-based on-line learning;
low-power; edge computing
Related research projects:
High-performance
Reliable On-chip Communication Networks
The complex integration of
semiconductor devices, empowered by emerging
interconnect and material innovations, has
provided us with tools to connect, analyze,
control, and efficiently make decisions.
Such complex semiconductor devices/SoCs will
contain hundreds of components made of
processor cores, DSPs, memory, etc., all
interconnected via a novel on-chip
interconnect closer to a sophisticated
network than current bus-based solutions.
This network must provide high throughput
and low latency while keeping area and power
consumption low. Our research effort is
about solving several design challenges to
enable such a new paradigm in massively
parallel many-core systems. In particular,
we are investigating fault-tolerance, 3D-TSV
integration, photonic communication,
low-power mapping techniques, low-latency
adaptive routing. We are also investigating
the interconnect scalability challenge in
large-scale neuromorphic architectures to
develop efficient interconnects that enable
complex connections between neurons to
incorporate correct spike timing into the
design.
Keywords: 2D/3D-NoC; si-Photonic;
3D-TSV; high-performance; fault-tolerance;
embedded SoCs
Related research projects:
Cyber-Physical
Systems
We
investigate adaptive cyber-physical systems
that deeply integrate sensing, computation,
control, and networking into physical
objects. This research combines research
output from our other research topics to
build cyber-physical systems that are
responsive, precise, reliable, and efficient
for applications ranging from
neuroprosthetic and BMIs to smart edge
devices in EVs and power-grid.
Keywords: cyber-physical systems;
embedded; adaptive; reliable; robotic arms;
prosthetic; rehabilitation and cognitive
augmentation
Recent related research projects:
|
|
