Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.
Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...
Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
Abstract: Communal roosts are essential stopover sites for migratory birds. Monitoring the diurnal activity patterns of birds in communal roosts (DAPBCRs) is crucial for understanding their migratory ...
Power demand from US data centers is set to surge to 106 gigawatts by 2035, according to BloombergNEF, a 36% increase from the research provider’s previous outlook in April. The upward revision in ...
Sweden uses common salt to de-ice its roads in winter, contrary to online posts that say it uses a new beet extract salt, the country’s Transport Administration has said. Posts shared on social media, ...
Death to bad breath comes in cloves. Garlic — that pungent, bulb-shaped veggie that gives food a kick and vampires the ick — is now being crowned a possible cure for halitosis, per a new report.
In the world of data centers, ensuring a facility will be online 99.999 percent of the time, is everything. Access to power is the number one priority when developers are trying to figure out where to ...
I don’t use Microsoft Excel all that often, so it remains a bit of a mystery to me. I can enter text and create graphs and that’s basically it. That’s why I’ve set myself a goal to learn one new Excel ...
The industry believes AI will work its way into every corner of our lives, and so needs to build sufficient capacity to address that anticipated demand. But the hardware used to make AI work is so ...