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#206 Krishna Rangasayee: Why Edge AI is the Next Big Thing in Tech
Eye On A.I.
Software Drives Architectural Choices
Architectural decisions in technology are primarily motivated by software capabilities rather than just the silicon itself. Concepts like neuromorphic and quantum computing have existed for a long time, but their practical application depends on software maturity that can effectively leverage the underlying hardware. Historically, advancements like neural networks and AI, while not new, require time to become industry standards, as scaling an initial proof point to widespread adoption often takes an additional 10 to 15 years longer than anticipated. The hype surrounding emerging technologies frequently underestimates this timeline and the complexities involved in achieving broader market acceptance.
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