Canadian AI Patents

Canadian AI Patents

This PowerBI dashboard visualizes Canadian-related AI patent activity by categorizing patents into various AI technology components. The classification is based on Cooperative Patent Classification (CPC) codes, USPTO’s Artificial Intelligence Patent Dataset (AIPD) 2023, systematically grouping patents under distinct AI categories. Each category highlights a specific aspect of AI technology:

1. Machine Learning: Encompasses patents involving algorithms and computational models that enable systems to improve tasks over time without explicit programming.

2. Evolutionary Computation: Focuses on patents employing optimization techniques inspired by natural evolution, such as genetic algorithms.

3. Natural Language Processing (NLP): Includes patents in language-related AI, covering technologies that allow machines to interpret and generate human language.

4. Vision: Relates to AI patents aimed at visual perception, including image recognition and computer vision systems.

5. Speech: Covers patents in technologies enabling machines to recognize, process, and produce human speech.

6. Knowledge Processing: Encompasses patents focused on organizing, processing, and utilizing knowledge for AI reasoning and decision-making tasks.

7. AI Hardware, Part 1: Involves specialized hardware designed to optimize AI computation, including processors like GPUs or TPUs, critical for high-performance AI tasks.

8. AI Hardware, Part 2: Represents more general-purpose hardware components that support AI but may not be exclusively dedicated to AI tasks.

Source of data used in this Dashboard: United States Patent and Trademark Office (USPTO)

The dashboard presents a detailed trend analysis of Canadian-related AI patent filings across various AI subfields from 1990 to the present. The data indicates a significant increase in patent filings since 2010, with a particularly sharp rise in certain categories in recent years. AI Hardware, Part 1 and Machine Learning, AI Hardware Part 1, and Vision categories show the most substantial growth, reflecting Canada's advancements in foundational AI infrastructure and algorithmic development. These categories surpass others by a notable margin, underscoring a focus on building the core computational and learning systems essential for AI applications. Knowledge Processing and Natural Language Processing patents also exhibit a steady upward trend, highlighting Canada's contributions to AI-driven knowledge systems and an emphasis on language and speech-related innovations, which are key to chatbots such as ChatGPT. Overall, the trends suggest that Canadian inventors are increasingly focusing on AI hardware and algorithmic areas, establishing a robust foundation for AI applications across multiple domains