AI Patent Watch

This European patent introduces a clever way for cameras and tracking systems to better handle moments when an object temporarily disappears from view—like when a person walks behind a tree or a car passes behind a building. Instead of losing track completely, the system learns from past tracking failures. It records where objects typically vanish and where they tend to reappear, building a kind o...

This European patent describes a method for training a machine learning model, particularly in the context of communication networks like 5G. The primary focus is to improve the accuracy of machine learning models trained using federated learning (FL) by addressing the issue of data heterogeneity among the FL clients. The proposed method involves determining the similarity between the federated le...

This patent describes a method for enabling more natural conversations with automated assistants. The core problem addressed is the unnatural, turn-based nature of current automated assistant interactions, which doesn’t reflect how humans converse. The patented invention introduces a “soft endpointing” mechanism that allows the assistant to better understand when a user has paused versus completed...

This patent describes a novel system and method for image inpainting, where missing or undesirable regions of an input image are filled in using guidance from a separate "guide image." The core innovation lies in the use of machine learning models, particularly a Style Generative Adversarial Network (StyleGAN), to combine visual features from both the input image and the guide image in a deep late...

This patent discloses systems, methods and devices for prioritizing calendar events with artificial intelligence to resolve scheduling conflicts. When a request to schedule a new event clashes with an existing one, the system compares their "event priority scores," generated by a statistical machine learning model considering various factors. If the new event's score is higher, a selectable option...

This patent discloses systems and methods developed by OpenAI for automatically generating and editing text using language models (LMs). The core innovation lies in a flexible approach that takes an input text prompt and user instructions to access a language model, generate output text, and then edit the original prompt by replacing portions with the LM's output. The patent also covers systems fo...

This patent discloses techniques for adapting previously-annotated training examples into updated training examples for training machine learning models. The core idea involves identifying a specific part (the "find expression") within a targeted subset of training examples (defined by a "filtering constraint") and replacing it with a new part (the "replacement expression"). This process allows fo...

This patent describes an innovative system and method for automatically configuring electronic devices using artificial intelligence (AI). The core idea involves leveraging device usage data (telemetry data) as input for machine learning models to predict future events and proactively configure the device's operating system, applications, and hardware accordingly. This approach aims to personalize...

This patent describes a system and method for generating cyber-threat scores by leveraging machine learning (ML) and explicitly considering the quality of the sources providing the threat intelligence. The core innovation lies in training an ML model not only on the presence or absence of threat indicators and their classifications but also on "quality metrics" associated with the sources. During...