Crow Intelligence

AI is just a tool.  To use it effectively, you must understand how humans think and communicate. We know the strengths of both natural and artificial intelligence and how to combine them for optimal results. By bridging cognitive science and AI, we create solutions that enhance human capabilities and ensure seamless interaction.

Our Approach

Just as a well-designed tool feels like an extension of your hand, AI should feel like an extension of human intelligence. The best AI systems are built on two key principles:

Human Cognition

Understanding human thought and language ensures AI integrates seamlessly with natural cognitive processes.

Advanced AI Engineering

Cutting-edge AI technology, designed with cognitive awareness, creates powerful and intuitive systems.

Are you interested?

✉️ hello@crowintelligence.org

Blog

  • What if you need more labeled data? Label spreading and propagation

    What if you need more labeled data? Label spreading and propagation

    Although it is commonplace that we are living in the era of big data and experiencing a data deluge, tons of projects fail because of the lack of (labeled) data. If you don’t have enough data, you can’t make a great machine learning application, even if your team has got the brightest minds of the universe. In this post, we present an example of label spreading to get more labeled data using Python. If you are not a Pythonista, scroll down for other resources on the topic.

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  • How babies acquire their first words. From babbling to talking.

    How babies acquire their first words. From babbling to talking.

    Language acquisition is one of the greatest mysteries of life. It takes only a few months to master one of the most complex phenomena in the world. Using the CHILDES database, we made an animated visualization of this process regarding English.

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  • So, you wanna learn algorithms?

    So, you wanna learn algorithms?

    The moment when one wants to learn about algorithms comes in every self-taught programmer’s life. Python can sort your lists, so learning about Quicksort algorithm seems to be wasting your time for a rookie. However at some point in your life, you encounter problems that can be solved with the algorithmic toolbox. This post presents six books, which introduce you into the world of algorithms at different levels.

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  • Which country is the best? Dealing with ranking data

    Which country is the best? Dealing with ranking data

    Who does not dream about living in the best country of the globe? But what counts the best? There are various factors, along which countries can be compared. Countries are ranked on the basis of their GDP, the well-being of their citizens, the level of their inhabitants’ freedom and on many more. Our research aims to come up with a top list of the countries, which amalgamates more aspects of ranking. This goal is achieved with rank aggregation.

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  • Math for Machine Learning and Artificial Intelligence

    Math for Machine Learning and Artificial Intelligence

    Although Machine Learning and AI is becoming more and more accessible, knowing the math behind the algorithms makes you a better practitioner. Lots of people have math anxiety, which deters them from the mathematical background of the field. In this post, we collected books that help you overcome math anxiety and pick up enough math to understand and appreciate the mathematical background of Machine Learning and Artificial Intelligence.

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