Hardware for neural networks

Neuromorphic computing, rewriting Turing machines for blobby grey matter, other hybrid ideas

November 16, 2023 — November 16, 2023

computers are awful
concurrency hell
number crunching

Placeholder, for thinking about the implementation and theory of computation as it has been perturbed by our increasing dependence upon neural models for computing.

Figure 1

1 References

Aimone, and Parekh. 2023. The Brain’s Unique Take on Algorithms.” Nature Communications.
Gershenfeld, N. 1996. Signal Entropy and the Thermodynamics of Computation.” IBM Systems Journal.
Gershenfeld, Neil A. 2000. The Physics of Information Technology. Cambridge Series on Information and the Natural Sciences.
Gershenfeld, Neil. 2011. Aligning the Representation and Reality of Computation with Asynchronous Logic Automata.” Computing.
Hooker. 2020. The Hardware Lottery.” arXiv:2009.06489 [Cs].
Jaeger, Noheda, and van der Wiel. 2023. Toward a Formal Theory for Computing Machines Made Out of Whatever Physics Offers.” Nature Communications.
Zhu, Lilak, Loeffler, et al. 2023. Online Dynamical Learning and Sequence Memory with Neuromorphic Nanowire Networks.” Nature Communications.