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 12):
The module of  claim 11 , wherein the VMM module inputs are drain terminals of a top 2D layer of the memory devices connected together along bit lines (BLs) along the second dimension (Y), and the VMM module outputs are source terminals of a bottom 2D layer of the memory devices connected together along source lines (SLs) along the first dimension (X).

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): 0.7753866365432455
- 35 USC 102 Novelty (BERT): 0.4735180109951644
- Combined Prediction Score: 0.7451997739884374
- Mean Citation Score: 170.66295
- Max Citation Score: 182.24405
- Similarity Product: 141.25838291774392

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