Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PhaseMAC: A 14 TOPS/W 8bit GRO based Phase Domain MAC Circuit for
  In-Sensor-Computed Deep Learning Accelerators   PhaseMAC (PMAC), a phase domain Gated-Ring-Oscillator (GRO) based 8bit MAC
circuit, is proposed to minimize both area and power consumption of deep
learning accelerators. PMAC composes of only digital cells and consumes
significantly smaller power than standard digital designs, owing to its
efficient analog accumulation nature. It occupies 26.6 times smaller area than
conventional analog designs, which is competitive to digital MAC circuits. PMAC
achieves a peak efficiency of 14 TOPS/W, which is best reported and 48% higher
than conventional arts. Results in anomaly detection tasks are demonstrated,
which is the hottest application in the industrial IoT scene.

17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat