https://news.artnet.com/art-world/voynich-manuscript-artificial-intelligence-1212164
Cascone, S. (2018, January 31). AI may have just decoded a mystical 600-Year-Old manuscript that baffled humans for decades. Artnet News.
Posts Tagged ‘ai’
AI and the humanities
April 7, 2024Could AI transform science itself?
September 24, 2023How scientists are using artificial intelligence
September 24, 2023This Person Does Not Exist – Random Face Generator
April 3, 2022Give These Apps Some Notes and They’ll Write Emails for You | WIRED
November 8, 2020(129) 4k, 60 fps San Francisco, a Trip down Market Street, April 14, 1906 – YouTube
July 10, 2020Amazing “upscaling” of old movies by http://Neural.Love uses AI to colorize, de-noise & boost FPS. Video of SF 4 days before the 1906 earthquake illustrates this well
https://www.youtube.com/watch?v=VO_1AdYRGW8
Also:
Google Duplex
May 11, 2018https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html?m=
Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
Google Sells A.I. for Building A.I. (Novices Welcome) – The New York Times
January 27, 2018$GOOG Sells AI for Building #AI
https://www.NYTimes.com/2018/01/17/technology/google-sells-ai.html QT: “Humans must label the data before the system can
learn…once images…labeled…[it] operates w/o human
involvement…It can build a model from scratch.” How can one preview this? Will it be integrated into gphotos?
QT:{{”
Initially, Google will open this service only to a small group of businesses.
…
But sometimes, there is no substitute for good old human labor. With Google’s new service, humans must label the data before the system can learn from it. …
Google says that once images are labeled, its new service operates without human involvement….Given more time, it
can build a model from scratch, specifically for the problem at hand.
If you are a zoologist who wants an algorithm that identifies jaguars and giraffes, said Fei-Fei Li, chief scientist inside the Google cloud group, all you have to do is supply the right images. “You upload jaguars and giraffes,” she said. “And you are done.”
“}}
Artificial intelligence just made guessing your password a whole lot easier
September 22, 2017#AI just made guessing your password…easier
http://www.ScienceMag.org/news/2017/09/artificial-intelligence-just-made-guessing-your-password-whole-lot-easier rather Number cracked raises #security/#privacy concerns HT @Rozowsky
QT:{{”
The new study aimed to speed this up by applying deep learning, a brain-inspired approach at the cutting edge of AI. Researchers at Stevens Institute of Technology in Hoboken, New Jersey, started with a so-called generative adversarial network, or GAN, which comprises two artificial neural networks. A “generator” attempts to produce artificial outputs (like images) that resemble real examples (actual photos), while a “discriminator” tries to detect real from fake. They help refine each other until the generator becomes a skilled counterfeiter.
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AI for drug discovery – cyan
July 4, 2017Make Pharma Great Again w. AI, by @mostafabenh
https://Medium.com/@mostafab/make-pharma-great-again-with-artificial-intelligence-some-challenges-50e91ea9988d Optimism-inducing Moore’s law in tech vs. #Eroom’s law for drugs
QT:{{”
Drug discovery is getting increasingly tough and expensive. Despite technological progress, the cost of developing a new drug doubles every nine years. That’s Eroom’s law of Pharma, which mirrors Moore’s law for computer performance.
….
Drugs are getting more expensive
In the tech industry, the situation is different. Optimism prevails. Tech is fueled by Moore’s law, the fact that computer performance is doubling every 18 months.
Moore’s law
This exponential progress keeps prices low. For example, Google gives away the use of its new TPU chip for free, for some scientific projects. Tech companies are more generous due to their feeling of abundance. How can Tech help Pharma, especially at a time of expansion for Artificial Intelligence?
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‘Make Pharma Great Again with Artificial Intelligence: some Challenges’
linkstream2 microblog 