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AI Patent Watch

AI Patent Watch

De : Bastian Best
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 Your go-to podcast for exploring the most intriguing patents shaping the future of artificial intelligence. Each episode breaks down a fascinating AI patent—what it covers, why it matters, and how it fits into the bigger picture of innovation and intellectual property. Whether you're a patent professional, an AI enthusiast, or an inventor looking for inspiration, AI Patent Watch keeps you on the cutting edge of AI patents. Curated with ❤ by European Patent Attorney Bastian Best, narrated by AI. To learn more about the exciting intersection of patents and AI, sign up for Bastian’s mailing list for exclusive insights: https://bestpatent.eu/list/
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    Épisodes
    • A Software Patent on Seeing Through Walls?

      A Software Patent on Seeing Through Walls?
      Jun 2 2025
      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 of “map of blind spots.” Over time, this map helps the system make smarter guesses about where a hidden object is likely to go next. It can even adapt how long it waits before giving up on a lost object or decide where to focus its efforts to re-identify something. The result: smoother, more reliable object tracking, even when visibility isn’t perfect.
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      16 min
    • Federated Machine Learning Training

      Federated Machine Learning Training
      May 11 2025
      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 learning server's test data and the clients' training data and using this determination to decide whether or not to incorporate a client's model update into the global model.
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      16 min
    • Natural Conversations with AI Assistants Based on Speech Pauses

      Natural Conversations with AI Assistants Based on Speech Pauses
      Apr 26 2025
      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 their utterance, enabling more fluid and natural conversations. The system can provide natural conversational outputs like “Mmhmm” or proactively ask for clarification, rather than immediately fulfilling potentially incomplete requests, thus improving the user experience.
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      17 min
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