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 32):
The module of  claim 31 , wherein the VMM module inputs are the different signal inputs of the nonvolatile memory devices in the first row along the first dimension (X) biased by input activation circuitry (called linear mode) and the output circuitry is connected to the signal outputs of the memory devices of the last row connected together along the first dimension (X); or\n wherein the VMM module output is a signal inputs of the memory devices of the first row connected together along the first dimension (X), input activation circuitry converts the VMM module input signals to voltage with an operational amplifier with a nonvolatile memory device feedback to bias the signal outputs of a last row of the memory devices connected together along the first dimension (X) (called source-coupled) and bias the activation inputs (WLs) of a nonvolatile memory devices in a selected row connected together along the first dimension (X) with a fixed voltage.

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): 0.7739965550846372
- 35 USC 102 Novelty (BERT): 0.4812230804533174
- Combined Prediction Score: 0.7447192076215052
- Mean Citation Score: 170.66295
- Max Citation Score: 182.24405
- Similarity Product: 131.70906754867136

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