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Designing a 3D modeled object via user-interaction
E Mehr - US Patent 11,556,678, 2023 - Google Patents
(57) ABSTRACT A computer-implemented method for designing a 3D modeled object via
user-interaction. The method includes obtaining the 3D modeled object and a machine …
user-interaction. The method includes obtaining the 3D modeled object and a machine …
Operation-based partitioning of a parallelizable machine learning model network on accelerator hardware
GR Catron, M Wang, NR Satish… - US Patent App. 16 …, 2024 - Google Patents
A machine learning model network is analyzed to identify types of operations and
dependencies associated with different portions of the machine learning model network …
dependencies associated with different portions of the machine learning model network …
Object classification exception handling via machine learning
AV Wozniak, DP Smart - US Patent 11,922,368, 2024 - Google Patents
Techniques for classifying and processing physical objects are disclosed. In an example, a
computer system may receive first data indicating that a first machine learning model of a …
computer system may receive first data indicating that a first machine learning model of a …
Hybrid computing achitectures with specialized processors to encode/decode latent representations for controlling dynamic mechanical systems
J Kranski, C Cianci, C Wales, A Kaehler - US Patent 11,691,278, 2023 - Google Patents
Provided is a robot that includes: a first sensor having a first output and configured to sense
state of a robot or an environment of the robot; a first hardware machine-learning accelerator …
state of a robot or an environment of the robot; a first hardware machine-learning accelerator …
Load balancing using data-efficient learning
Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed.
Ground truth data are not available and a policy must be learned based on limited …
Ground truth data are not available and a policy must be learned based on limited …
Runtime reconfigurable compression format conversion
A runtime data-format optimizer for a processing element includes a sparsity-detector and a
compression-converter. The sparsity-detector selects a first compression-conversion format …
compression-converter. The sparsity-detector selects a first compression-conversion format …
Ultra-wide instantaneous bandwidth complex neuromorphic adaptive core processor
S Adl, P Petre, AV Kabakian, BH Fong - US Patent 12,057,989, 2024 - Google Patents
Described is a system for Neuromorphic Adaptive Core (NeurACore) signal processor for
ultra-wide instantaneous bandwidth denoising of a noisy signal. The NeurACore signal …
ultra-wide instantaneous bandwidth denoising of a noisy signal. The NeurACore signal …
Robust adaptive dynamic mode decomposition for modeling, prediction, and control of high dimensional physical systems
G05B13/04—Adaptive control systems, ie systems automatically adjusting themselves to
have a performance which is optimum according to some preassigned criterion electric …
have a performance which is optimum according to some preassigned criterion electric …
True Positive Transplant
IPM Bataller, PC Leger, A Greenberg - US Patent App. 17/657,464, 2022 - Google Patents
BACKGROUND [0002] In statistics or machine learning," overfitting” is when a predictive
model makes inferences that correspond too closely or exactly to a particular data set. When …
model makes inferences that correspond too closely or exactly to a particular data set. When …
End-to-end neural compression with deep reinforcement learning
End-to-end neural image compression using deep reinforcement learning (DRL) is
performed by at least one processor and includes encoding an input, generating encoded …
performed by at least one processor and includes encoding an input, generating encoded …