Astronomers are increasingly using GPUs for AI-driven galaxy hunting, contributing to a global shortage of these essential computing components.
Why it matters
This article illustrates how AI is becoming indispensable in scientific discovery, pushing the boundaries of fields like astronomy. The increasing reliance on GPUs for these advanced AI applications, even in academic research, directly contributes to the global hardware shortage. This has implications for the accessibility and cost of AI development and deployment across various industries, not just in tech but also in scientific and academic institutions.
Scientists are using powerful computer chips (GPUs) to help their AI find new galaxies in space. This is making it harder for everyone to get these chips because so many people need them for AI.
MIT Technology Review's 'The Download' newsletter highlights 10 crucial developments in AI, aiming to clarify what truly matters amidst the rapid pace of launches, hype, and warnings in the field.
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