The Dynamic State of AI in Research Computing,
The research computing and data landscape is experiencing a profound transformation driven by surging demand to support Artificial Intelligence (AI) development and use. AI’s potential to augment human capabilities is immense, resulting in an escalating demand for computing power and infrastructure. Wide use of AI algorithms in research also comes with significant social and ethical implications.
AI-enabled hardware and software are becoming a necessity rather than a luxury for the research computing and data (RCD) community. Leaders and users of RCD across the nation must be aware of the challenges and opportunities of AI to facilitate a smooth, responsible, and equitable transition to a world where AI assists discovery, innovation, and education.
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The Dynamic State of AI in Research Computing,
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