Hardware Podcasts

A Theoretical Framework for Neuromorphic Technology?

EE Times Current · 3 Oct 2025 · 55m

What this episode covers

Dr. Brad Aimone of Sandia National Laboratories discusses his proposed theoretical framework for neuromorphic engineering, explaining why large-scale platforms like Intel's Loihi 2 and Spinnaker 2 are suited for Monte Carlo simulations and iterative algorithms rather than dense linear algebra. He argues that the non-Von Neumann, event-driven nature of neuromorphic hardware imposes constraints that require intentional algorithm design, where the algorithm is encoded in the hardware circuitry itself. The episode also features commentary from Professor Ralph Etienne-Cummings of Johns Hopkins University on the importance of theoretical bounds and the role of adult neurogenesis in preventing catastrophic forgetting.

Most relevant to

large enterprises

Topics

Mentioned

Companies
Sandia National Laboratories, Intel, Salk Institute, Johns Hopkins University, University College London, Czech Technical University in Prague
Chips
Loihi 2, Spinnaker 2, TrueNorth, Liuhi

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