Nvidia corporation (20240095447). NEURAL NETWORK-BASED LANGUAGE RESTRICTION simplified abstract
Contents
- 1 NEURAL NETWORK-BASED LANGUAGE RESTRICTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NEURAL NETWORK-BASED LANGUAGE RESTRICTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
NEURAL NETWORK-BASED LANGUAGE RESTRICTION
Organization Name
Inventor(s)
Chaowei Xiao of Seattle WA (US)
Mohammad Shoeybi of Foster City CA (US)
Mostofa Patwary of Fremont CA (US)
Anima Anandkumar of Pasadena CA (US)
Bryan Catanzaro of Los Altos Hills CA (US)
NEURAL NETWORK-BASED LANGUAGE RESTRICTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095447 titled 'NEURAL NETWORK-BASED LANGUAGE RESTRICTION
Simplified Explanation
The patent application abstract describes apparatuses, systems, and techniques for identifying and preventing the generation of restricted content using neural networks.
- Neural networks are utilized to identify restricted content based solely on the content itself.
Potential Applications
This technology could be applied in:
- Content moderation on social media platforms
- Filtering out inappropriate content in search engines
Problems Solved
This technology helps in:
- Preventing the spread of harmful or inappropriate content
- Ensuring a safer online environment for users
Benefits
The benefits of this technology include:
- Automating the process of identifying restricted content
- Enhancing the efficiency of content moderation efforts
Potential Commercial Applications
The potential commercial applications of this technology could include:
- Integration into social media platforms for improved content moderation
- Licensing to search engines for enhanced filtering capabilities
Possible Prior Art
One possible prior art could be:
- Existing content moderation tools that use keyword filtering to identify restricted content
Unanswered Questions
How does this technology handle different languages and cultural contexts?
This article does not address how the neural networks can adapt to various languages and cultural nuances in identifying restricted content.
What measures are in place to prevent false positives in content identification?
The article does not mention any specific techniques or algorithms used to minimize false positives in the identification of restricted content.
Original Abstract Submitted
apparatuses, systems, and techniques are presented to identify and prevent generation of restricted content. in at least one embodiment, one or more neural networks are used to identify restricted content based only on the restricted content.
