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D5AI LLC

Overview
  • Total Patents
    77
  • GoodIP Patent Rank
    18,772
  • Filing trend
    ⇧ 3600.0%
About

D5AI LLC has a total of 77 patent applications. It increased the IP activity by 3600.0%. Its first patent ever was published in 2017. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and China. Its main competitors in its focus markets computer technology and digital networks are H2O AI INC, NUMENTA INC and DEEPMIND TECH LTD.

Patent filings in countries

World map showing D5AI LLCs patent filings in countries

Patent filings per year

Chart showing D5AI LLCs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Baker James K 54
#2 Baker James 23
#3 Baker Bradley J 16
#4 Baker Bradley 3

Latest patents

Publication Filing date Title
US2021027163A1 Self-organizing partially ordered networks and soft-tying learned parameters, such as connection weights
WO2021061401A1 Selective training of deep learning modules
WO2021040944A1 Deep learning with judgment
US2020327414A1 Stacking multiple nodal networks
WO2020046719A1 Self-supervised back propagation for deep learning
US2020387794A1 Building a deep neural network with diverse strata
WO2020036847A1 Building deep learning ensembles with diverse targets
WO2020041026A1 Efficiently building deep neural networks
WO2020033645A1 Companion analysis network in deep learning
US2020410090A1 Robust von neumann ensembles for deep learning
WO2020018279A1 Building ensembles for deep learning by parallel data splitting
US2021027147A1 Forward propagation of secondary objective for deep learning
US2020410295A1 Analyzing and correcting vulnerabilities in neural networks
US2020394521A1 Using back propagation computation as data
EP3701351A1 Self-organizing partially ordered networks
WO2019067831A1 Multi-objective generators in deep learning
WO2019067960A1 Aggressive development with cooperative generators
US2020210812A1 Joint optimization of ensembles in deep learning
US2019095798A1 Stochastic categorical autoencoder network
EP3646252A1 Selective training for decorrelation of errors