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

Frank Hutter

City:

Freiburg

Country:

Germany

Published Applications:

6

Last publication date:

2022-07-14

Top Assignees for applications by Frank Hutter

The entities that hold a legal rights for patent applications filed by inventor Hutter Frank:

  • Robert Bosch GMBH 3 Stuttgart, Germany

Recent patent applications by Hutter Frank

Frank Hutter from Freiburg, DE has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2022-07-14
US20220222493A1
Physics

DEVICE AND METHOD TO IMPROVE REINFORCEMENT LEARNING WITH SYNTHETIC ENVIRONMENT

#2 | 2021-08-26
US20210264256A1
Physics

METHOD, DEVICE AND COMPUTER PROGRAM FOR PREDICTING A SUITABLE CONFIGURATION OF A MACHINE LEARNING SYSTEM FOR A TRAINING DATA SET

#3 | 2021-05-06
US20210133576A1
Physics

Method and apparatus for automatically producing an artificial neural network

#4 | 2021-01-14
US20210012183A1
Physics

METHOD AND DEVICE FOR ASCERTAINING A NETWORK CONFIGURATION OF A NEURAL NETWORK

#5 | 2021-01-14
US20210008718A1
Performing operations; transporting

Method, device and computer program for producing a strategy for a robot

#6 | 2020-12-31
US20200410347A1
Physics

METHOD AND DEVICE FOR ASCERTAINING A NETWORK CONFIGURATION OF A NEURAL NETWORK

InventorID:

2952085 ⎘

  1. Home
  2. Inventor
  3. H
  4. Hut…
  5. Hutter Frank

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.