21st Century Learning and Teaching

Google will allow anyone to use its custom AI chips via the cloud
Dedicated machine-learning hardware could help Google fight off rivals in an increasingly competitive cloud AI market.

Backstory: Last year, Google announced it had designed a new chip, called a tensor processing unit (TPU), built to crunch the math AI uses. At the time, it ran the chips itself and allowed just a select group of researchers to make use of them.

What's new: The New York Times reports that Google will allow other companies to make use of the hardware via the cloud. “We are trying to reach as many people as we can as quickly as we can,” Zak Stone, leader of Google’s TPU team, told the newspaper.

Why it matters: Putting AI in the cloud is big business. Google, Amazon, and Microsoft all provide AI software on their cloud servers, and China is joining the race, too. By offering dedicated hardware for AI grunt work, Google will hope to gain a competitive edge over the others.

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At Google, we think that AI can meaningfully improve people’s lives and that the biggest impact will come when everyone can access it. Learn more about our projects and tools.

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Eric Schmidt, the executive chairman of Alphabet, says AI can be harnessed to help solve major challenges like climate change, food security, and many other problems in health care, energy, and other critical sectors. Machine learning algorithms can directly analyze thousands of previous cases of different types of diseases and make their own conclusions as to what constitutes a sick individual versus a healthy individual, and consequently help diagnose dangerous conditions including cancer. Also, the technology is being fed big data to help scientists understand and predict the effects of climate change.

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