PATENT CLAIM ANALYSIS

Application Number: 16403676
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["711", "102000"]

Abstract:
Embedded memory subsystems in a digital integrated circuit for artificial intelligence are disclosed. A semi-conductor substrate contains CNN processing units. Each CNN processing unit includes CNN logic circuits and an embedded memory subsystem. The memory subsystem includes first embedded memory and second embedded memory. The first embedded memory contains an array of MTJ STT-RAM cells with each cell has a circular planar area with a diameter in a range of 40-120 nm. The second embedded memory contains an array of MTJ STT-RAM cells with each cell has a circular planar area having a diameter in a range of 30-75 nm.

Claim (Index 1):
A digital semi-conductor chip for artificial intelligence comprising:\n a semi-conductor substrate containing integrated circuits of a plurality of cellular neural networks (CNN) processing units; each CNN processing unit comprising CNN logic circuits, a first embedded memory, and a second embedded memory; the first embedded memory containing an array of first spin transfer torque magnetic random access memory (STT-RAM) cells with each first STT-RAM cell having a first magnetic tunnel junction (MTJ) element located on a first transistor; the second embedded memory containing an array of second STT-RAM cells with each second STT-RAM cell having a second MTJ element located on a second transistor; and the CNN logic circuits further comprising at least a metal layer that includes a plurality of copper landing pads providing as the first and the second transistors.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 100.0
- Lexical Diversity: 2.07843
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15477263', '15632200', '16403678', '15591069', '15498378']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5101823015748773
- 35 USC 102 Novelty (BERT): 0.5169731451392696
- Combined Prediction Score: 0.5108613859313166
- Mean Citation Score: 291.94553
- Max Citation Score: 318.3084
- Similarity Product: 268.1959154900551

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test