PATENT CLAIM ANALYSIS

Application Number: 16011539
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["365", "189020"]

Abstract:
Described are memory modules that support different error detection and correction (EDC) schemes in both single- and multiple-module memory systems. The memory modules are width configurable and support the different EDC schemes for relatively wide and narrow module data widths. Data buffers on the modules support the half-width and full-width modes, and also support time-division-multiplexing to access additional memory components on each module in support of enhanced EDC.

Claim (Index 21):
A memory module with an anterior module side and a posterior module side, the memory module comprising:\n a first memory component on the anterior module side; a second memory component on the posterior module side; a data-buffer component having:\n a primary data link of a first data width; \n a first secondary data link, of a second data width, coupled to the first memory component; \n a second secondary data link, of the second data width, coupled to the second memory component; and \n means for time-division multiplexing data from the first memory component on the first secondary data link and the second memory component on the second secondary data link onto the primary data link.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 94.0
- Lexical Diversity: 1.54167
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15262741', '15610001', '15260880', '15745396', '15522182']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7822925935307306
- 35 USC 102 Novelty (BERT): 0.4951476799351679
- Combined Prediction Score: 0.7535781021711744
- Mean Citation Score: 224.227558
- Max Citation Score: 279.89938
- Similarity Product: 229.57247776507973

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