Via Popular Science, March 16:
Artificial intelligence is everywhere now. This report shows how we got here.What’s AI commonly used for nowadays and how much funding does it get? All these questions and more are answered in the new Stanford index report.
Artificial intelligence is getting cheaper, better at the tasks we assign it, and more widespread—but concerns over bias, ethics, and regulatory oversight still remain. At a time when AI is becoming accessible to everyone, the Stanford Institute for Human-Centered Artificial Intelligence put together a sweeping 2022 report analyzing the ins and outs of the growing field. Here are some of the highlights.
A growing number of publications
The number of publications alone on the topic tell a story: They doubled in the last decade, from 162,444 in 2010 to 334,497 in 2021. The most popular AI categories that researchers and others published on were pattern recognition, machine learning, and algorithms.
What’s more, the number of patent filings related to AI innovations in 2021 is 30 times greater than the filings in 2015. In 2021, the majority of filed patents were from China, but the majority of patents actually granted were from the US.
The number of users participating in open-source AI software libraries on GitHub also rose from 2015 to 2021. These libraries house collections of computer codes that are used for applications and products. One called TensorFlow remains the most popular, followed by OpenCV, Keras and PyTorch (which Meta AI uses).
Computers that analyze images and understand speech....
....MUCH MORE
Highly recommend clicking through to PopSci first, the overview is nicely done. Plus some related articles.
- Deep Learning Is Hitting a Wall
- FHI: Who Gets The Benefits Of Artificial Intelligence?
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- "Researchers Build AI That Builds AI"
- Mark Zuckerberg Says Meta Will Have The World's Fastest AI Supercomputer (FB; NVDA)
- Kai-Fu Lee on Artificial Intelligence: "Why Computers Don’t Need to Match Human Intelligence"