Twitter’s patent describes an iterative process that can be used to determine the subject matter expertise of users on a social network. User accounts are analyzed by how frequently they interact with a plurality of topic groups (TGs). As users are identified to frequently interact with multiple topic groups they are continually filtered to more specific TGs. After a certain amount of iterations, a ranking can be obtained of accounts that are an authority on the specific expertise topic.
A provisional patent application can provide a means of inexpensive patent protection and secure a priority date for a non-provisional patent. This is particularly important in the U.S. because patent rights are determined by the first inventor to disclose or file on an invention, not the first inventor to conceive of the invention.
This week, Tesla was granted a patent for a system that utilizes image data from a vehicle’s camera along with a trained machine learning model to identify the distance of an object from a vehicle.
This patent discloses a method of leveraging machine learning models to recommend media content based on user media interaction.
This patent discloses a method of leveraging machine learning models to recommend media content based on user media interaction.
The system is set up to work between multiple cloud-based computerized environments as a third party processor to process software objects.
Inventors are those who help conceive an aspect of the claimed subject matter in a patent application. Several tests can be used to determine who is a true inventor.
It is estimated that the global AI market will reach $390 billion by 2025 with spending growth of 20% annually.
Today’s Ford patent application seeks to address autonomous anxiety. Here’s the full scoop.