17846866. NEURAL NETWORK-BASED LANGUAGE RESTRICTION simplified abstract (NVIDIA Corporation)
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 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 17846866 titled 'NEURAL NETWORK-BASED LANGUAGE RESTRICTION
Simplified Explanation
The patent application abstract describes the use of neural networks to identify and prevent the generation of restricted content.
- Neural networks are utilized to identify restricted content based solely on the content itself.
- The technology aims to prevent the creation of restricted content before it is generated.
Potential Applications
The technology could be applied in various industries such as social media platforms, online content moderation, and digital publishing to prevent the dissemination of restricted content.
Problems Solved
This technology addresses the issue of identifying and preventing the creation of restricted content, which can help in maintaining a safe and compliant online environment.
Benefits
The use of neural networks for content identification can improve the efficiency and accuracy of detecting restricted content, leading to better content moderation practices.
Potential Commercial Applications
The technology could be valuable for companies that rely on user-generated content, as it can help in maintaining a safe and compliant online platform. A potential SEO-optimized title for this section could be "Commercial Applications of Neural Network Content Identification Technology."
Possible Prior Art
One possible prior art could be existing content moderation tools that use keyword filtering or manual review processes to identify restricted content.
Unanswered Questions
How does this technology handle false positives in identifying restricted content?
The article does not address how the technology deals with false positives in the identification of restricted content. This is an important consideration as false positives can lead to unnecessary content removal or censorship.
What are the potential privacy implications of using neural networks to identify restricted content?
The article does not discuss the potential privacy implications of utilizing neural networks for content identification. It would be important to consider how user data is handled and protected in the process of identifying 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.
