|
WO2021041564A1
|
|
Pure rolling cycloid transmissions with variable effective diameter rollers and roller constraints
|
|
WO2021011139A1
|
|
The conversational assistant for conversational engagement
|
|
WO2020247391A1
|
|
Photonic neural network
|
|
WO2020227557A1
|
|
Method, system and apparatus for understanding and generating human conversational cues
|
|
US2021019507A1
|
|
Centimeter human skeleton pose estimation
|
|
US2021056742A1
|
|
Align-to-ground, weakly supervised phrase grounding guided by image-caption alignment
|
|
US2020333584A1
|
|
Pointing apparatuses and methods involving magnetic-contrast bearings
|
|
US2020320435A1
|
|
Multi-level introspection framework for explainable reinforcement learning agents
|
|
US2020394446A1
|
|
Identifying fixed bits of a bitstring format
|
|
US2021088523A1
|
|
Methods for detecting circulating tumor cells in non-small cell lung cancer
|
|
US2020320272A1
|
|
Efficient Transmission of Video over Low Bandwidth Channels
|
|
US2020302339A1
|
|
Generative memory for lifelong machine learning
|
|
US2020362385A1
|
|
Biomarkers for detection of burkholderia pseudomallei
|
|
US2020356855A1
|
|
Synthetic training examples from advice for training autonomous agents
|
|
WO2020180755A1
|
|
Apparatuses and methods involving multi-modal imaging of a sample
|
|
US2020322677A1
|
|
Characteristic-based assessment for video content
|
|
US2020273375A1
|
|
Cortical steganography
|
|
US2020394588A1
|
|
Intelligent collaborative project management
|
|
US2020227161A1
|
|
Health management system
|
|
US2020193245A1
|
|
Aligning symbols and objects using co-attention for understanding visual content
|
