We developed a free course for Manning liveProject. Getting Started with Google Colab Using PyTorch has got a very descriptive title, so it teaches you the very basics of using Colab with PyTorch.
(more…)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?
Blog
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Getting Started with Jupyter is freely available on Manning liveProject
We’ve been working hard on our newest liveProject, Getting Started with Jupyter Notebook during the last few months and now it is freely available!
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Content Analysis with Similarity Graphs – the talk is available on YouTube
We presented our thoughts on content analysis with similarity graphs at the Graph Data Science Conference. The full conference is available on Twitch, and Orsolya’s talk is now available on our YouTube channel. You can watch it below!
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A Diary on Information Theory – a lightweight yet rigorous intro into the field
Information Theory (IT) was born in 1948 when Claude Shannon published its a Mathematical Theory of Communication. This seminal work uses linguistic examples, so Information Theory is related to language since its inception. There were many attempts to explain IT to the general audience, but Rényi’s Diary is outstanding with its unique style, clear prose and rigor. If you read only one book on IT, read this one!
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Content Analysis with Similarity Graphs
We had the opportunity to present our thoughts on content analysis with similarity graphs at the Graph Data Science conference. Below, you can watch our presentation and other useful materials to get started with similarity graphs.
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