• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. H
  4. Had…
  5. HADAD Netanel
🔗 Permalink
Inventor profile of:

Netanel HADAD

City:

Lod

Country:

Israel

Published Applications:

8

Last publication date:

2025-11-13

Top Assignees for applications by Netanel HADAD

The entities that hold a legal rights for patent applications filed by inventor HADAD Netanel:

  • Microsoft Technology Licensing, LLC 6 Redmond, WA United States

Recent patent applications by HADAD Netanel

Netanel HADAD from Lod, IL has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-11-13
US20250350584A1
Electricity

MACHINE LEARNING MODEL DEPLOYED TO AN ENCRYPTED COMPUTATIONAL GRAPH

#2 | 2025-06-26
US20250209216A1
Physics

SEAMLESS AND SECURE CLOUD TO COMPUTER POINTER RELAY

#3 | 2025-06-12
US20250193236A1
Electricity

PHISHING PROTECTION

#4 | 2024-10-31
US20240361867A1
Physics

NOISE COMPENSATION USING A SPATIAL NOISE MODEL

#5 | 2023-12-21
US20230409144A1
Physics

Noise compensation using a spatial noise model

#6 | 2023-10-26
US20230341974A1
Physics

Plural touch-screen sensor to pen synchronization

#7 | 2023-07-27
US20230236699A1
Physics

Handling noise interference on an interlink

#8 | 2023-02-07
US17660197
Physics

Plural touch-screen sensor to pen synchronization

InventorID:

5809754 ⎘

  1. Home
  2. Inventor
  3. H
  4. Had…
  5. HADAD Netanel

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.