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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models.

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Harnessing Silicon: How In-House Chips Are Shaping the Future of AI

Unite.AI

months, suggesting that by 2040, emissions from the Information and Communications Technology (ICT) sector could comprise 14% of global emissions. For instance, training deep learning models requires significant computational power and high throughput to handle large datasets and execute complex calculations quickly.

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AI’s Growing Power Needs: Tech Industry’s Move Towards Nuclear Power

Unite.AI

AI's applications are vast and transformative, from virtual assistants that help us manage our schedules to advanced algorithms that predict market trends and diagnose diseases. Training complex AI models, particularly deep learning models, requires significant computational power.