Patents/Inventors

Dipankar Das

PuneIN30 patents

27 Patents

US125418092026
Abstraction Library to Enable Scalable Distributed Machine Learning
INTEL CORPORATION
0 cites
US124624312025
System and Method for Automated Calibration for a Scanning System
Pramana, Inc.
0 cites
US124504842025
Communication Optimizations for Distributed Machine Learning
Intel Corporation
0 cites
US124122322025
Dynamic Precision Management for Integer Deep Learning Primitives
Intel Corporation
0 cites
US124057872025
Utilizing Structured Sparsity in Systolic Arrays
INTEL CORPORATION
0 cites
US123996852025
Systolic Array Having Support for Output Sparsity
Intel Corporation
0 cites
US123872872025
Abstraction Layers for Scalable Distributed Machine Learning
INTEL CORPORATION
0 cites
US123540012025
Hardware Implemented Point to Point Communication Primitives for Machine Learning
Intel Corporation
0 cites
US123147272025
Optimized Compute Hardware for Machine Learning Operations
Intel Corporation
0 cites
US122880622025
Instructions for Fused Multiply-add Operations with Variable Precision Input Operands
Intel Corporation
0 cites
US122178562025
Apparatus and Method for Identifying Regions of Interest During Slide Digitization
Pramana, Inc.
0 cites
US122111172025
Data Parallelism and Halo Exchange for Distributed Machine Learning
Intel Corporation
0 cites
US121980552025
Incremental Precision Networks Using Residual Inference and Fine-grain Quantization
Intel Corporation
0 cites
US121062102024
Scaling Half-precision Floating Point Tensors for Training Deep Neural Networks
Intel Corporation
0 cites
US120991842024
System and Methods for Detecting and Cleaning Contaminants from an Imaging Optical Path
0 cites
US120332372024
Dynamic Precision Management for Integer Deep Learning Primitives
Intel Corporation
0 cites
US119778852024
Utilizing Structured Sparsity in Systolic Arrays
INTEL CORPORATION
0 cites
US119001072024
Instructions for Fused Multiply-add Operations with Variable Precision Input Operands
Intel Corporation
0 cites
US118934902024
Incremental Precision Networks Using Residual Inference and Fine-grain Quantization
Intel Corporation
0 cites
US118230342023
Scaling Half-precision Floating Point Tensors for Training Deep Neural Networks
Intel Corporation
0 cites
US117981202023
Abstraction Layers for Scalable Distributed Machine Learning
INTEL CORPORATION
0 cites
US117686812023
Apparatus and Method for Vector Multiply and Accumulate of Packed Bytes
Intel Corporation
0 cites
US117045652023
Communication Optimizations for Distributed Machine Learning
Intel Corporation
0 cites
US116815292023
Apparatuses, Methods, and Systems for Access Synchronization in a Shared Memory
Intel Corporation
0 cites
US116693292023
Instructions and Logic for Vector Multiply Add with Zero Skipping
Intel Corporation
0 cites
US116699332023
Dynamic Precision Management for Integer Deep Learning Primitives
Intel Corporation
0 cites
US115567722023
Incremental Precision Networks Using Residual Inference and Fine-grain Quantization
Intel Corporation
0 cites