Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Low-Latency Asynchronous Logic Design for Inference at the Edge   Modern internet of things (IoT) devices leverage machine learning inference
using sensed data on-device rather than offloading them to the cloud. Commonly
known as inference at-the-edge, this gives many benefits to the users,
including personalization and security. However, such applications demand high
energy efficiency and robustness. In this paper we propose a method for reduced
area and power overhead of self-timed early-propagative asynchronous inference
circuits, designed using the principles of learning automata. Due to natural
resilience to timing as well as logic underpinning, the circuits are tolerant
to variations in environment and supply voltage whilst enabling the lowest
possible latency. Our method is exemplified through an inference datapath for a
low power machine learning application. The circuit builds on the Tsetlin
machine algorithm further enhancing its energy efficiency. Average latency of
the proposed circuit is reduced by 10x compared with the synchronous
implementation whilst maintaining similar area. Robustness of the proposed
circuit is proven through post-synthesis simulation with 0.25 V to 1.2 V
supply. Functional correctness is maintained and latency scales with gate delay
as voltage is decreased.

36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat