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BENEVOLENTAI TECH LIMITED

Overview
  • Total Patents
    59
  • GoodIP Patent Rank
    25,193
About

BENEVOLENTAI TECH LIMITED has a total of 59 patent applications. Its first patent ever was published in 2018. It filed its patents most often in United Kingdom, WIPO (World Intellectual Property Organization) and China. Its main competitors in its focus markets computer technology are NEURALMAGIC INC, NEURIC TECHNOLOGIES LLC and LIQUID BIOSCIENCES INC.

Patent filings per year

Chart showing BENEVOLENTAI TECH LIMITEDs patent filings per year from 1900 to 2020

Focus industries

# Industry
#1 Computer technology

Top inventors

# Name Total Patents
#1 Plumbley Dean 16
#2 Segler Marwin Hans Siegfried 12
#3 Creed Paidi 9
#4 Smith Daniel Paul 9
#5 Briody Joss 5
#6 Sim Aaron Jefferson Khey Jin 5
#7 Sellwood Matthew 5
#8 Spencer Stephen Thomas 4
#9 Sim Aaron 4
#10 Vaucher Alain Claude 4

Latest patents

Publication Filing date Title
GB202102948D0 Evaluation framework for target identification in precision medicine
GB202016469D0 Cohort stratification into endotypes
WO2021009493A1 Ranking biological entity pairs by evidence level
GB202006264D0 Patient stratification using latent variables
GB202002926D0 Compositions and uses thereof
GB202002586D0 Selecting a cell line for an assay
GB201919111D0 SVO entity information retrieval system
GB201919102D0 Protein families map
GB201915623D0 Designing a molecule and determining a route to its synthesis
GB201909925D0 Identifying one or more compounds for targeting a gene
WO2019220128A1 Graph neutral networks with attention
CN112154519A Search tool for knowledge discovery
GB201904161D0 Entity type identification for named entity recognition systems
GB201904167D0 Name entity recognition with deep learning
GB201819498D0 Machine learning for protein binding sites
GB201815664D0 Hierarchical relationship extraction
GB201813742D0 Automatic query construction for knowledge discovery
GB201805304D0 Active learning model validation
GB201805293D0 Attention filtering for multiple instance learning
GB201805300D0 Reinforcement Learning