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New research might show a more sustainable future for Artificial Intelligence

Writer's picture: Igor AlcantaraIgor Alcantara

Hello, Data Explorers! 🚀


Today, we're exploring a promising study that might just change how AI systems are built. Researchers have developed a way to operate AI language models efficiently without using matrix multiplication—a core component in traditional AI processing.


What does this mean for AI? How can eliminating matrix multiplication reduce costs and environmental impacts? What are the implications for future AI technology? Join us as we delve into these questions, breaking down the study's findings and its potential to reshape AI development.


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