PATENT CLAIM ANALYSIS

Application Number: 16026480
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["345", "559000"]

Abstract:
Disclosed herein is a processor for deep learning. In one embodiment, the processor comprises: a load and store unit configured to load and store image pixel data and stencil data; a register unit, implementing a banked register file, configured to: load and store a subset of the image pixel data from the load and store unit, and concurrently provide access to image pixel values stored in a register file entry of the banked register file, wherein the subset of the image pixel data comprises the image pixel values stored in the register file entry; and a plurality of arithmetic logic units configured to concurrently perform one or more operations on the image pixel values stored in the register file entry and corresponding stencil data of the stencil data.

Claim (Index 4):
The processor of  claim 2 , wherein the plurality of banks of vectors registers comprises four banks of vector registers.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 95.0
- Lexical Diversity: 2.67308
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15201204', '14492535', '14649859', '15724142', '10357804']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6148587235936913
- 35 USC 102 Novelty (BERT): 0.510998651321025
- Combined Prediction Score: 0.6044727163664247
- Mean Citation Score: 221.856542
- Max Citation Score: 252.33566
- Similarity Product: 174.37593943081143

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

Dataset: test