Inventor profile of:

Michael Morrison

City:

Sunnyvale, California

Country:

United States

Published Applications:

39

Last publication date:

2025-08-21

Top Assignees for applications by Michael Morrison

The entities that hold a legal rights for patent applications filed by inventor Morrison Michael:

Recent patent applications by Morrison Michael

Michael Morrison from Sunnyvale, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-08-21
US20250265225A1
Physics

TASK SYNCHRONIZATION FOR ACCELERATED DEEP LEARNING

#2 | 2025-04-24
US20250131237A1
Physics

ADVANCED WAVELET FILTERING FOR ACCELERATED DEEP LEARNING

#3 | 2025-04-03
US20250110808A1
Physics

PLACEMENT OF COMPUTE AND MEMORY FOR ACCELERATED DEEP LEARNING

#4 | 2025-03-06
US20250080477A1
Electricity

DYNAMIC ROUTING FOR ACCELERATED DEEP LEARNING

#5 | 2023-05-25
US20230162012A1
Physics

Basic wavelet filtering for accelerated deep learning

#6 | 2023-04-27
US20230125522A1
Physics

OPTIMIZED PLACEMENT FOR EFFICIENCY FOR ACCELERATED DEEP LEARNING

#7 | 2023-03-09
US20230071424A1
Physics

Placement of compute and memory for accelerated deep learning

#8 | 2023-03-02
US20230069536A1
Electricity

Dynamic routing for accelerated deep learning

#9 | 2022-12-15
US20220398443A1
Physics

Data structure descriptors for deep learning acceleration

#10 | 2022-11-24
US20220374288A1
Physics

DISTRIBUTED PLACEMENT OF LINEAR OPERATORS FOR ACCELERATED DEEP LEARNING

#11 | 2022-10-27
US20220343136A1
Physics

Advanced wavelet filtering for accelerated deep learning

#12 | 2022-09-08
US20220284275A1
Physics

Task activating for accelerated deep learning

#13 | 2022-06-02
US20220172031A1
Physics

Task synchronization for accelerated deep learning

#14 | 2022-06-02
US20220172030A1
Physics

NUMERICAL REPRESENTATION FOR NEURAL NETWORKS

#15 | 2021-08-19
US20210256362A1
Physics

Processor element redundancy for accelerated deep learning

#16 | 2021-08-19
US20210255860A1
Physics

ISA enhancements for accelerated deep learning

#17 | 2021-08-12
US20210248453A1
Physics

Scaled compute fabric for accelerated deep learning

#18 | 2021-07-22
US20210224639A1
Physics

Control wavelet for accelerated deep learning

#19 | 2021-06-03
US20210166109A1
Physics

Data structure descriptors for deep learning acceleration

#20 | 2021-05-13
US20210142167A1
Physics

Accelerated deep learning

#21 | 2021-05-13
US20210142155A1
Physics

Numerical representation for neural networks

#22 | 2021-04-01
US20210097376A1
Physics

Backpressure for Accelerated Deep Learning

#23 | 2021-02-25
US20210056400A1
Physics

Dataflow Triggered Tasks for Accelerated Deep Learning

#24 | 2021-01-07
US20210004674A1
Physics

Task activating for accelerated deep learning

#25 | 2020-12-03
US20200380370A1
Physics

Floating-point unit stochastic rounding for accelerated deep learning

#26 | 2020-12-03
US20200380344A1
Physics

Neuron smearing for accelerated deep learning

#27 | 2020-12-03
US20200380341A1
Physics

Fabric vectors for deep learning acceleration

#28 | 2020-11-19
US20200364546A1
Physics

WAVELET REPRESENTATION FOR ACCELERATED DEEP LEARNING

#29 | 2020-04-30
US20200133741A1
Physics

Task synchronization for accelerated deep learning

#30 | 2020-04-23
US20200125934A1
Physics

Microthreading for accelerated deep learning

#31 | 2020-01-02
US20200005142A1
Physics

Accelerated deep learning

#32 | 2019-10-31
US20190332926A1
Physics

Backpressure for accelerated deep learning

#33 | 2019-09-19
US20190286987A1
Physics

Dataflow triggered tasks for accelerated deep learning

#34 | 2019-08-22
US20190258921A1
Physics

Control wavelet for accelerated deep learning

#35 | 2019-08-22
US20190258920A1
Physics

Data structure descriptors for deep learning acceleration

#36 | 2019-08-22
US20190258919A1
Physics

Wavelet representation for accelerated deep learning

#37 | 2018-11-01
US20180314941A1
Physics

Accelerated deep learning

#38 | 2013-12-12
US20130332708A1
Physics

Programmable partitionable counter

#39 | 2013-12-12
US20130329555A1
Electricity

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InventorID:

565988 ⎘