PATENT CLAIM ANALYSIS

Application Number: 16246353
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["365", "185180"]

Abstract:
There are disclosed devices, system and methods for a vector-by-matrix multiplier (VMM) module having a three-dimensional memory matrix of nonvolatile memory devices each having a charge storage, an activation input, a signal input and an output signal in a range that is based on a stored charge and an input signal during assertion of the activation signal. The memory devices are arranged in two dimensional (XY) layers that are vertically disposed along (Z) columns. The activation inputs of each layer are connected to a same activation signal, the memory devices of rows in a first dimension (X) of each layer have signal inputs connected to different input signals and have signal outputs connected in series to a common output. The memory devices of rows in a second dimension (Y) of each layer have signal inputs connected to a set of the same inputs along the first dimension.

Claim (Index 19):
The module of  claim 17 , wherein each two-dimensional (2D) (XY) layer that is vertically disposed along a plurality of (Z) columns can be selected by the application of a proper input to the activation inputs (WLs) of that layer and the application of a larger input to the activation inputs (WLs) of other layers.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.35714
- Patent Class: 365.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14487078', '15137284', '13680286', '14966894', '14341739']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.773461380628427
- 35 USC 102 Novelty (BERT): 0.4841831826152035
- Combined Prediction Score: 0.7445335608271046
- Mean Citation Score: 170.66295
- Max Citation Score: 182.24405
- Similarity Product: 128.04363800089658

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

Dataset: test