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Book Open access Aug 2026

Temporal Sparse Die-to-Die Communication in Heterogeneous Neuromorphic Systems

This work proposes heterogeneous neural networks that combine spiking neural networks (SNNs) and artificial neural networks (ANNs) at bandwidth-limited regions, such as chip boundaries, where spike-based communication reduces data transfer overhead.

Joshua Nardone, Rui-Jie Zhu, Ruhai Lin et al. · 0 citations
Preprint Aug 2026

Allocating Recurrent Compute in Looped Language Models

Results show that the benefits of recurrent depth can be retained without repeatedly executing the dense FFN, and view recurrence as repeated composition of a state update and argue that an application is valuable when it exposes a new cross-position influence direction that remains observable at the task readout.

Ruhai Lin, Yi Guo, Ruiming Zhu et al. · 0 citations