AI development could be slowed by a huge demand for electricity
The massive amount of energy needed to power Artificial Intelligence could slow its development in the U.S., according to a Connecticut database security and privacy expert.
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The massive amount of energy needed to power Artificial Intelligence could slow its development in the U.S., according to a Connecticut database security and privacy expert.
Thomas Quinn wants to build a hyperscale data center — what would be the single largest user of electricity in Connecticut — next to the Millstone Nuclear Power plant in Waterford. The center would use more than 9% of the average power consumption in the state, enough to raise concerns among state lawmakers about the stability of the grid and serious questions about whether it’s the best use for electricity as the state transitions away from carbon-based energy. ...According to figures provided by NE Edge, the project would require a $1.6 billion in inves...
There could be lessons for CT in the region and beyond for innovative ways to tackle climate change from energy and emissions standpoints.
Illinois has banned construction of new nuclear power plants for the past 36 years, since 1987. That’s a real predicament for a state that already relies heavily on that energy source for 53% of its electricity needs.
Illinois has banned construction of new nuclear power plants for the past 36 years, since 1987. That’s a real predicament for a state that already relies heavily on that energy