Posts Tagged ‘ai’

Google Duplex

May 11, 2018

https://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.
“}}

AI for drug discovery – cyan

July 4, 2017

Make 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?
“}}

‘Make Pharma Great Again with Artificial Intelligence: some Challenges’

https://medium.com/@mostafab/make-pharma-great-again-with-artificial-intelligence-some-challenges-50e91ea9988d

What the Science of Touch Says About Us

June 27, 2016

Feel Me by @AdamGopnik
http://www.NewYorker.com/magazine/2016/05/16/what-the-science-of-touch-says-about-us It’s easier for AI to win at chess than move pieces on the board – cf http://www.NYTimes.com/1997/05/13/opinion/l-how-smart-can-it-be-084328.html

Sensory Studies
MAY 16, 2016 ISSUE
Feel Me
What the new science of touch says about ourselves.
BY ADAM GOPNIK

QT:{{”
““Haptic intelligence is vital to human intelligence,” she concludes. “It’s not just dexterity. It’s finding your way in the world: it’s embodiment, emotion, attack. Haptic intelligence is human
intelligence. We’re just so smart with it that we don’t know it yet. It’s actually much harder to make a chess piece move correctly—to pick up the piece and move it across the board and put it down
properly—than it is to make the right chess move.” She adds, slyly, “When I took A.I. as a student, I was so dismayed to find that most A.I. is just stupid brute force, just running through the
possibilities a machine can look at quickly. Computer chess looks intelligent, but it’s under-the-hood stupid. Reaching and elegantly picking up the right chess piece fluidly and having it land in the right place in an uncontrolled environment—that’s hard. Haptic intelligence is an almost irreproducible miracle! Because people are so good at that, they don’t appreciate it. Machines are good at finding the next move, but moving in the world still baffles them.”” “}}