• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. L
  4. Lev…
  5. LEV GUY
🔗 Permalink
Inventor profile of:

GUY LEV

City:

Tel Aviv

Country:

Israel

Published Applications:

7

Last publication date:

2024-01-25

Top Assignees for applications by GUY LEV

The entities that hold a legal rights for patent applications filed by inventor LEV GUY:

  • INTERNATIONAL BUSINESS MACHINES CORPORATION 5 ARMONK, NY United States

Recent patent applications by LEV GUY

GUY LEV from Tel Aviv, IL has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2024-01-25
US20240028913A1
Physics

HEURISTIC-BASED INTER-TRAINING WITH FEW-SHOT FINE-TUNING OF MACHINE LEARNING NETWORKS

#2 | 2021-08-26
US20210264097A1
Physics

Automatic generation of training data for scientific paper summarization using videos

#3 | 2020-12-17
US20200394496A1
Physics

Detecting non-anomalous and anomalous sequences of computer-executed operations

#4 | 2020-07-02
US20200210848A1
Physics

Deep learning testing

#5 | 2019-12-19
US20190385060A1
Physics

Integration of external applications into deep neural networks

#6 | 2019-05-16
US20190147343A1
Physics

UNSUPERVISED ANOMALY DETECTION USING GENERATIVE ADVERSARIAL NETWORKS

#7 | 2018-12-06
US20180349476A1
Physics

Evaluating theses using tree structures

InventorID:

2366502 ⎘

  1. Home
  2. Inventor
  3. L
  4. Lev…
  5. LEV GUY

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.