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by Daniel Ampuero Anca

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A Tale of Innovation: Highlights From Our Recent Idea-thon

Explore the innovation behind Hyperscience’s idea-thon, where cross-disciplinary teams tackled real-world challenges. Discover what won!

by Daniel Ampuero Anca

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The Future of AI and Its Ethical Implications Through the Eyes of Middle Schoolers

Hyperscience hosted a panel with middle school students exploring AI ethics, addressing concerns like job disruption, bias in detection tools, and future career challenges.

by Jordan Hanley

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Hope is Not a Strategy - Training World Class Extraction Models to Get the Most Value From Your Enterprise Documents

Learn hoe to train a world class extraction model to get the most value from your enterprise documents, rather than relying on hope.

by Antonin Vidon

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Managing Randomness During Training in Machine Learning

Find out how managing randomness in machine learning training improves model reliability and performance, explore Hyperscience's techniques.

by Jordan Hanley

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Training AI Like an Athlete - Fuel It Correctly or Watch It Fail on Game Day

Learn why clean, accurate data is essential for AI success. This blog explains how high-quality data fuels effective AI.