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AI Is Not a Library: Designing for Nondeterministic Dependencies

ai, AI (Artificial Intelligence), AI & ML, Artificial Intelligence, Commentary

For most of the history of software engineering, we’ve built systems around a simple and comforting assumption: Given the same input, a program will produce the same output. When something went wrong, it was usually because of a bug, a misconfiguration, or a dependency that wasn’t behaving as advertised. Our tools, testing strategies, and even

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ET AI Impact Forum: Redefining India’s AI ownership and infrastructure strategy

ai, AI (Artificial Intelligence), Artificial Intelligence

As India sharpens its ambition to lead in artificial intelligence, the AI Impact deliberations moved beyond rhetoric into structural strategy. From data sovereignty and federated learning to Graphics Processing Unit expansion, curriculum reform, and power-efficient infrastructure, leaders examined what it will take to build AI for many, not just for a few.

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AI Summit 2026 Live Updates: Sundar Pichai announces partnership between Central govt and Google DeepMind for frontier Al development – Moneycontrol

ai, AI (Artificial Intelligence), Artificial Intelligence

AI Summit 2026 Live Updates: Sundar Pichai announces partnership between Central govt and Google DeepMind for frontier Al development  Moneycontrol

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Infosys AI implementation framework offers business leaders guidance

ai, AI (Artificial Intelligence), AI Business Strategy, ai implementation strategies, Artificial Intelligence, business leaders, Deep Dives, infosys

As a large provider of technology services operating in multiple industries, Infosys is one of the names that quickly come to mind when decision-makers consider possible providers of consultation on and practical implementation of any AI project – discrete or organisation-wide. Infosys delivers these services through its Topaz Fabric, leveraging its partnerships with specific AI

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