Inventor profile of:

Marko Vitez

City:

Trieste

Country:

Italy

Published Applications:

10

Last publication date:

2026-06-04

Top Assignees for applications by Marko Vitez

The entities that hold a legal rights for patent applications filed by inventor Vitez Marko:

Recent patent applications by Vitez Marko

Marko Vitez from Trieste, IT has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2026-06-04
US20260154547A1
Physics

COMPILER CONFIGURABLE TO GENERATE INSTRUCTIONS EXECUTABLE BY DIFFERENT DEEP LEARNING ACCELERATORS FROM A DESCRIPTION OF AN ARTIFICIAL NEURAL NETWORK

#2 | 2026-02-12
US20260044734A1
Physics

COMPILER WITH AN ARTIFICIAL NEURAL NETWORK TO OPTIMIZE INSTRUCTIONS GENERATED FOR EXECUTION ON A DEEP LEARNING ACCELERATOR OF ARTIFICIAL NEURAL NETWORKS

#3 | 2025-01-30
US20250036950A1
Physics

DISCOVERY OF HARDWARE CHARACTERISTICS OF DEEP LEARNING ACCELERATORS FOR OPTIMIZATION VIA COMPILER

#4 | 2022-05-12
US20220147813A1
Physics

RUNTIME OPTIMIZATION OF COMPUTATIONS OF AN ARTIFICIAL NEURAL NETWORK COMPILED FOR EXECUTION ON A DEEP LEARNING ACCELERATOR

#5 | 2022-05-12
US20220147812A1
Physics

COMPILER WITH AN ARTIFICIAL NEURAL NETWORK TO OPTIMIZE INSTRUCTIONS GENERATED FOR EXECUTION ON A DEEP LEARNING ACCELERATOR OF ARTIFICIAL NEURAL NETWORKS

#6 | 2022-05-12
US20220147811A1
Physics

IMPLEMENT THE COMPUTATION OF AN ARTIFICIAL NEURAL NETWORK USING MULTIPLE DEEP LEARNING ACCELERATORS

#7 | 2022-05-12
US20220147810A1
Physics

Discovery of hardware characteristics of deep learning accelerators for optimization via compiler

#8 | 2022-05-12
US20220147809A1
Physics

DEEP LEARNING ACCELERATORS WITH CONFIGURABLE HARDWARE OPTIONS OPTIMIZABLE VIA COMPILER

#9 | 2022-05-12
US20220147808A1
Physics

COMPILER CONFIGURABLE TO GENERATE INSTRUCTIONS EXECUTABLE BY DIFFERENT DEEP LEARNING ACCELERATORS FROM A DESCRIPTION OF AN ARTIFICIAL NEURAL NETWORK

#10 | 2022-03-03
US20220066760A1
Physics

Deep neural networks compiler for a trace-based accelerator

InventorID:

5340256 ⎘