Chandler, Arizona
United States
37
2026-04-02
The entities that hold a legal rights for patent applications filed by inventor Mathaikutty Deepak Abraham:
Deepak Abraham Mathaikutty from Chandler, US has applied for patents for these inventions. The list has both pending applications and granted patents:
LAYER-WISE PRECISION OPTIMIZATION IN ANALOG COMPUTE-IN-MEMORY ACCELERATORS
#2 | 2026-03-19SUB-TILE-BASED GRID SAMPLING IN NEURAL VIDEO CODECS
#3 | 2026-01-01REDUCING POWER CONSUMPTION OF NEURAL NETWORK ACCELERATOR THROUGH WEIGHT REORDERING
#4 | 2026-01-01HIGH PERFORMANCE EXECUTION OF STATE SPACE MODELS ON NEURAL NETWORK ACCELERATORS
#5 | 2025-12-11ENERGY-EFFICIENT PRE-ENCODED BOOTH FOR STATIONARY WEIGHTS AND ACTIVATIONS
#6 | 2025-12-04IMPLEMENTING N:M SPARSITY IN A DIGITAL COMPUTE-IN-MEMORY ACCELERATOR
#7 | 2025-10-16SYSTEM AND METHOD FOR BALANCING SPARSITY IN WEIGHTS FOR ACCELERATING DEEP NEURAL NETWORKS
#8 | 2025-10-02GRAPH NEURAL NETWORK EXECUTION ON NEURAL PROCESSING UNIT
#9 | 2025-03-13NEURAL NETWORK ACCELERATOR WITH MEMORY HAVING BANK-SPECIFIC CLOCK DOMAIN CROSSING BUFFERS
#10 | 2025-02-20NEURAL NETWORK ACCELERATOR PERFORMING OPERATION WITH MIXED-FORMAT WEIGHTS
#11 | 2024-12-05APPROXIMATING ACTIVATION FUNCTIONS IN NEURAL NETWORKS WITH PROGRAMMABLE LOOK-UP TABLE
#12 | 2024-05-16APPROXIMATING ACTIVATION FUNCTION IN NEURAL NETWORK WITH LOOK-UP TABLE HAVING HYBRID ARCHITECTURE
#13 | 2024-04-11DYNAMIC SPARSITY-BASED ACCELERATION OF NEURAL NETWORKS
#14 | 2024-04-04ACCURACY-BASED APPROXIMATION OF ACTIVATION FUNCTIONS WITH PROGRAMMABLE LOOK-UP TABLE HAVING AREA BUDGET
#15 | 2024-01-25SWITCHABLE ONE-SIDED SPARSITY ACCELERATION
#16 | 2024-01-11OUTPUT DRAIN PATH FACILITATING FLEXIBLE SCHEDULE-BASED DEEP NEURAL NETWORK ACCELERATOR
#17 | 2023-12-07PRUNING ACTIVATIONS AND WEIGHTS OF NEURAL NETWORKS WITH PROGRAMMABLE THRESHOLDS
#18 | 2023-11-23FLOATING-POINT MULTIPLY-ACCUMULATE UNIT FACILITATING VARIABLE DATA PRECISIONS
#19 | 2023-11-16BLOCK-WISE PRUNING OF WEIGHTS IN DEEP NEURAL NETWORK
#20 | 2023-11-02APPROXIMATING ACTIVATION FUNCTIONS WITH TAYLOR SERIES
#21 | 2023-10-19DEEP NEURAL NETWORK ACCELERATOR WITH MEMORY HAVING TWO-LEVEL TOPOLOGY
#22 | 2023-08-10DETECTING AND MITIGATING FAULT IN SPARSITY COMPUTATION IN DEEP NEURAL NETWORK
#23 | 2023-07-20HYBRID MULTIPY-ACCUMULATION OPERATION WITH COMPRESSED WEIGHTS
#24 | 2023-07-20SCHEDULING COMPUTATIONS IN DEEP NEURAL NETWORK BASED ON SPARSITY
#25 | 2023-07-13DYNAMIC UNCOMPRESSION FOR CHANNEL-SEPARABLE OPERATION IN NEURAL NETWORK
#26 | 2023-05-04DEEP NEURAL NETWORK (DNN) ACCELERATORS WITH HETEROGENEOUS TILING
#27 | 2023-03-09ACCELERATING DATA LOAD AND COMPUTATION IN FRONTEND CONVOLUTIONAL LAYER
#28 | 2023-02-23DEEP NEURAL NETWORK (DNN) ACCELERATOR FACILITATING QUANTIZED INFERENCE
#29 | 2023-01-19SPARSITY PROCESSING ON UNPACKED DATA
#30 | 2023-01-19DEEP NEURAL NETWORK (DNN) ACCELERATORS WITH WEIGHT LAYOUT REARRANGEMENT
#31 | 2023-01-19POWER EFFICIENT REGISTER FILES FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR
#32 | 2023-01-12Kernel Decomposition and Activation Broadcasting in Deep Neural Networks (DNNs)
#33 | 2022-08-18SYSTEM AND METHOD FOR CHANNEL-SEPARABLE OPERATIONS IN DEEP NEURAL NETWORKS
#34 | 2022-06-16DATA REUSE IN DEEP LEARNING
#35 | 2022-06-16FLOATING POINT MULTIPLY-ACCUMULATE UNIT FOR DEEP LEARNING
#36 | 2022-03-17SYSTEM AND METHOD FOR BALANCING SPARSITY IN WEIGHTS FOR ACCELERATING DEEP NEURAL NETWORKS
#37 | 2022-03-10RUNTIME CONFIGURABLE REGISTER FILES FOR ARTIFICIAL INTELLIGENCE WORKLOADS
5347258 ⎘