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DEEPMIND TECH LTD

Overview
  • Total Patents
    507
  • GoodIP Patent Rank
    2,992
  • Filing trend
    ⇧ 65.0%
About

DEEPMIND TECH LTD has a total of 507 patent applications. It increased the IP activity by 65.0%. Its first patent ever was published in 2014. It filed its patents most often in United States, WIPO (World Intellectual Property Organization) and EPO (European Patent Office). Its main competitors in its focus markets computer technology, consumer goods and control are D5AI LLC, IZHIKEVICH EUGENE M and H2O AI INC.

Patent filings per year

Chart showing DEEPMIND TECH LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Simonyan Karen 74
#2 Vinyals Oriol 73
#3 Kavukcuoglu Koray 57
#4 Kalchbrenner Nal Emmerich 55
#5 Van Den Oord Aaron Gerard Antonius 51
#6 Heess Nicolas Manfred Otto 49
#7 Silver David 48
#8 Pascanu Razvan 46
#9 Mnih Volodymyr 34
#10 Hadsell Raia Thais 33

Latest patents

Publication Filing date Title
WO2021069574A1 Gated linear contextual bandits
US2021103815A1 Domain adaptation for robotic control using self-supervised learning
WO2021058749A1 Exploration using hypermodels
US2021089908A1 Modulating agent behavior to optimize learning progress
US2021089910A1 Reinforcement learning using meta-learned intrinsic rewards
US2021089909A1 High fidelity speech synthesis with adversarial networks
WO2021058626A1 Controlling agents using causally correct environment models
WO2021058663A1 Augmenting attention-based neural networks to selectively attend to past inputs
WO2021058588A1 Training action selection neural networks using hindsight modelling
WO2021058578A1 Fast sparse neural networks
WO2021058583A1 Training action selection neural networks using q-learning combined with look ahead search
US2021078169A1 Data-driven robot control
WO2021058270A1 Gated attention neural networks
US2021064961A1 Antisymmetric neural networks
WO2021009293A1 Training a neural network to control an agent using task-relevant adversarial imitation learning
WO2020254400A1 Robust reinforcement learning for continuous control with model misspecification
WO2020239641A1 Hierarchical policies for multitask transfer
WO2020234449A1 Generative adversarial networks with temporal and spatial discriminators for efficient video generation
WO2020234457A1 Neural network-based memory system with variable recirculation of queries using memory content
US2020372366A1 Jointly learning exploratory and non-exploratory action selection policies