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 10):
The module of  claim 9 , wherein when the same activation input of a selected layer receives an activation signal, the VMM module outputs of the bottom layer output signals that are the vector-by-matrix multiplication of weights stored in the nonvolatile memory devices of the selected layer which are proportional to the charges stored in their charge storages and the input signals received at the VMM module inputs of the top layer.

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): 0.7705883582452605
- 35 USC 102 Novelty (BERT): 0.5000035753391424
- Combined Prediction Score: 0.7435298799546488
- Mean Citation Score: 170.66295
- Max Citation Score: 182.24405
- Similarity Product: 108.470659601292

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

Dataset: test