Generative AI, a branch of artificial intelligence, is capable of autonomously creating new content, including designs, code, and even inventions. It has seen rapid adoption across industries like software development, drug discovery, and creative fields. While its potential for innovation is undeniable, it presents significant challenges to existing patent laws, especially regarding registration, enforcement, patentability, …
Cognitive biases are systematic patterns of deviation from norm or rationality in judgment, often influencing decision-making processes. They are tendencies or patterns of thought that consistently and predictably deviate from objective standards such as facts or rational choices. These biases can affect perceptions, interpretations, and decisions. There are numerous cognitive biases, and they have been extensively …
xxxxxxxxxx 1: SAME AS EVER (MORGAN HOUSEL) 29.01.2024: The book is seen as a continuation of Morgan Housel’s previous work, “The Psychology of Money,” with a focus on understanding the psychology of people and behaviors that endure over time. The book emphasizes that while the world is constantly changing, certain fundamental principles and human behaviors remain …
The 40 Principles of TRIZ (Theory of Inventive Problem Solving) are a set of guidelines derived from the analysis of thousands of patents across various industries. These principles serve as a systematic way to generate inventive solutions to engineering and technical problems. Here is a list of the 40 TRIZ principles: Segmentation, Taking Out, Local Quality, Asymmetry, Merging, Universality, “Nested Doll”, Anti-weight, Preliminary Anti-action, Preliminary …
Inventive Principles are a key concept within TRIZ (Theory of Inventive Problem Solving), a systematic problem-solving methodology developed by Russian inventor and scientist Genrich Altshuller. Altshuller, along with his colleagues, analyzed a vast number of patents to identify patterns and commonalities in the inventive solutions. From this analysis, they derived a set of Inventive Principles …
Artificial Intelligence (AI) and Machine Learning (ML) can significantly impact patent management by automating and optimizing various tasks. By leveraging AI and ML in these areas, patent management processes can become more efficient, accurate, and proactive, ultimately enhancing the overall effectiveness of intellectual property management strategies. There are several applications and areas where AI/ML can be applied …
Artificial Intelligence (AI) and Machine Learning (ML) can significantly impact patent management by automating and optimizing various tasks. By leveraging AI and ML in these areas, patent management processes can become more efficient, accurate, and proactive, ultimately enhancing the overall effectiveness of intellectual property management strategies. There are several applications and areas where AI/ML can be applied …
Artificial Intelligence (AI) and Machine Learning (ML) can significantly impact patent management by automating and optimizing various tasks. By leveraging AI and ML in these areas, patent management processes can become more efficient, accurate, and proactive, ultimately enhancing the overall effectiveness of intellectual property management strategies. There are several applications and areas where AI/ML can be applied …
Artificial Intelligence (AI) and Machine Learning (ML) can significantly impact patent management by automating and optimizing various tasks. By leveraging AI and ML in these areas, patent management processes can become more efficient, accurate, and proactive, ultimately enhancing the overall effectiveness of intellectual property management strategies. There are several applications and areas where AI/ML can be applied …
Artificial Intelligence (AI) and Machine Learning (ML) can significantly impact patent management by automating and optimizing various tasks. By leveraging AI and ML in these areas, patent management processes can become more efficient, accurate, and proactive, ultimately enhancing the overall effectiveness of intellectual property management strategies. There are several applications and areas where AI/ML can be applied …
