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Talk Neuromorphic Computing - Next generation of brain-inspired computing ai

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Beschreibung

This is the announcement of the main Research Lecture from Kwabena Boahen (Professor of Bioengineering and of Electrical Engineering at Stanford University).

Lecture Title
Scaling Knowledge Processing from 2D Chips to 3D Brains

Abstract
As a computer's processors increase in number, they process data at a higher rate and exchange results across a greater distance. Thus, the computer consumes energy at a rate that increases quadratically. In contrast, as a brain's neurons increase in number, it consumes energy at a rate that increases not quadratically but rather just linearly. Thus, an 86B-neuron human brain consumes not 2 terawatts but rather just 25 watts. To scale linearly rather than quadratically, the brain follows two design principles.

First, pack neurons in three dimensions (3D) rather than just two (2D). This principle shortens wires and thus reduces the energy a signal consumes as well as the heat it generates.

Second, scale the number of signals per second as the square-root of the number of neurons rather than linearly. This principle matches the heat generated to the surface area available and thus avoids overheating.

I will illustrate how we could apply these two principles to design AI hardware that runs not with megawatts in the cloud but rather with watts on a phone.

Weitere Angaben

Ort: (66/E34)
Zeiten: Termine am Donnerstag, 30.05.2024 19:00 - 22:00
Erster Termin: Donnerstag, 30.05.2024 19:00 - 22:00, Ort: (66/E34)
Veranstaltungsart: sonstige (Offizielle Lehrveranstaltungen)

Studienbereiche

  • Cognitive Science > Einführungsveranstaltungen für Studienanfänger
  • Cognitive Science > Bachelor-Programm
  • Cognitive Science > Master-Programm
  • Cognitive Science > Promotionsprogramm
  • Cognitive Science > Veranstaltungen

Past and Forthcoming Events

Publications

  • Asymptotics of a time-bounded cylinder model, with N. Aschenbruck and S. Bussmann, Probability in the Engineering and Informational Sciences, https://doi.org/10.1017/S0269964822000420
  • The method of cumulants for the normal approximation, with S. Jansen and K. Schubert, Probability Surveys 2022, Vol. 19, 185-270, https://doi.org/10.1214/22-PS7
  • Sedentary Random Waypoint, with C. Betken, arXiv:2009.02941
  • The Impact of Bit Errors on Intra-Session Network Coding with Heterogeneous Packet Lengths, with B. Schütz, N. Aschenbruck, S. Bussmann and M. Juhnke-Kubitzke, Proc. of the 45th IEEE LCN Symposium on Emerging Topics in Networking LCN, virtually hosted in Sydney, Australia, Nov. 16–19, 2020.
  • Stationarity for the Small World in Motion Mobility Model, with Nils Aschenbruck, Christian Heiden und Matthias Schwamborn, MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Nov 25-29, 2019, https://doi.org/10.1145/3345768.3355935
  • Crossing Numbers and Stress of Random Graphs, with Markus Chimani and Matthias Reitzner, In Proceedings 26th International Symposium, GD 2018, Barcelona, Spain, 255--268, 2018 available here and for an extended journal version here: https://arxiv.org/abs/1808.07558
  • Fluctuations in a general preferential attachment model via Stein's method, with Carina Betken and Marcel Ortgiese, Random Structures & algorithms, vol.55, no.4, 2019 available here
  • Connection times in large ad-hoc mobile networks, Bernoulli, vol.22, no.4, 2143--2176, 2016 available here
    with Gabriel Faraud, Wolfgang König
  • The random disc thrower problem, Proceedings of the 90th European Study Group Mathematics with Industry, 59-78, 2013  available here with T. van der Aalst, D. Denteneer, M. Hong Duong, R. J. Kang, M. Keane, J. Kool, I. Kryven, T. Meyfroyt, T. Müller, G. Regts, J. Tomczyk
  • Edge fluctuations of eigenvalues of Wigner matrices, High Dimensional Probability VI: the Banff volume, Progress in Probability, vol.66, 261-275, Springer, Basel, 2013 available here
    with Peter Eichelsbacher
  • Moderate deviations for the determinant of Wigner matrices, Dedicated to Friedrich Götze on the occasion of his sixtieth birthday, Limit Theorems in Probability, Statistics and Number Theory, Springer Proceedings in Mathematics & Statistics, vol.42, 253-275, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations for the eigenvalue counting function of Wigner matrices, ALEA, Lat. Am. J. Probab. Math. Stat. 10 (1), 27-44, 2013, available here
    with Peter Eichelsbacher
  • Moderate deviations via cumulants, Journal of Theor. Probability, 2012, available here
    with Peter Eichelsbacher
  • Moments of recurrence times for Markov chains, Electronic Comm. Probab., 16(28), 296-303, 2011, available here
    with Frank Aurzada, Marcel Ortgiese, Michael Scheutzow
  • Moderate deviations in a random graph and for the spectrum of Bernoulli random matrices, Electronic Journal of Probability, Vol. 14, Paper no. 92, 2636-2656, 2009, available here
    with Peter Eichelsbacher
  • Perpendicular transport of charged particles in slab turbulence: recovery of diffusion for realistic wave-spectra?, Journal of Physics G: Nuclear and Particle Physics, 35, 025202, 2008
    with Andreas Shalchi
  • Velocity correlation functions of charged test particles, Journal of Physics G: Nuclear and Particle Physics, 34, 859, 2007
    with Andreas Shalchi

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