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Invited Talk 3: The Pursuit of the Brain’s Ubiquitous Stochasticity
DescriptionOne of the most dramatic differences between the brain and modern computing systems is the ubiquitous stochasticity of neural circuits. The brain leverages noise in its biophysics to make its computations more powerful and efficient, whereas today’s computers are designed, at great expense, to be deterministic from the transistor up. Such determinism is assumed to be necessary for microelectronics, but it leads to high costs in both fabrication and in the design of probabilistic computing applications.

In this talk, I will describe how modern neuromorphic computing are approaching this level of widespread stochasticity, enabling the development of a new class of probabilistic neuromorphic applications. The talk will highlight our results on implementing Monte Carlo random walk applications and stochastic optimization on the Intel Loihi, SpiNNaker, and IBM TrueNorth systems, showing how today’s neuromorphic systems are increasingly competitive with CPUs and GPUs. Finally, I will describe how future neuromorphic systems that leverage true random number generation from stochastic “coinflip” devices may prove critical for realizing the full potential for neuromorphic computing for scientific applications.
Event Type
Workshop
TimeMonday, 13 November 20232pm - 2:40pm MST
Location710
Tags
Algorithms
Heterogeneous Computing
Large Scale Systems
Registration Categories
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