To power artificial-intelligence products, start-ups and investors are taking extraordinary measures to obtain critical chips known as graphics processing units, or GPUs.
More than money, engineering talent, hype or even profits, tech companies this year are desperate for GPUs. The hunt for the essential component was kicked off last year when online chatbots like ChatGPT set off a wave of excitement over AI, leading the entire tech industry to pile on and creating a shortage of the chips.
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As city populations boom and the need grows for sustainable energy and water, scientists and engineers with the University of Chicago and partners are looking towards artificial intelligence to build new systems to deal with wastewater. Two new projects will test out ways to make intelligent water systems to recover nutrients and clean water. Water is an indispensable resource of our society, as it is required for sustaining life and economic prosperity, said Junhong Chen, the Crown Family Professor in the Pritzker School of Molecular Engineering at the University of Chicago and lead water strategist at Argonne National Laboratory. Our future economy and national security greatly depend on the availability of clean water. However, there is a limited supply of renewable freshwater, with no substitute.