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Universities are facing a critical shortage of resources for AI research, as highlighted by Stanford's leadership. They emphasized that the current funding and infrastructure are insufficient to support basic generative AI research, with universities lagging significantly behind the private sector. The disparity is alarming, with only three significant AI breakthroughs from academia in 2022 compared to 22 from industry.
To address this issue, initiatives like Empire AI in New York are emerging, aiming to create shared resources for AI research among universities. However, these efforts still fall short of what is needed to compete with major companies like Microsoft and NVIDIA. Advocacy for the 'Create AI' act is underway, which could provide essential funding and resources to elevate university research capabilities.
• Universities lack resources to conduct significant AI research compared to industry.
• The 'Create AI' act could provide essential funding for university AI research.
Generative AI refers to algorithms that can create new content, such as text or images, based on training data.
GPUs, or Graphics Processing Units, are critical for training AI models due to their parallel processing capabilities.
AI breakthroughs are significant advancements in artificial intelligence technology or methodologies that push the field forward.
Microsoft is a leading technology company heavily invested in AI, aiming to expand its GPU resources significantly.
NVIDIA is a key player in AI hardware, providing GPUs essential for AI research and development.
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