Awesome, not awesome.
#Awesome
“In a hospital in China, human doctors diagnosed a number of patients in a vegetative state as unlikely to ever wake up — but a second opinion from an algorithm said they would recover in less than a year. In seven cases, the algorithm was right. The AI algorithm, developed by the Chinese Academy of Sciences and PLA General Hospital in Beijing, analyzes fMRI scans of a patient’s brains to gauge how blood flows to different areas of the brain, as well as information given by doctors like the patient’s age, how long they’ve lost consciousness, and the cause of the coma, and then makes its diagnosis.” — Dave Gershgorn, Reporter Learn More from Quartz >
#Not Awesome
“Computer science researchers subtly altered stop signs to see if minor alterations could confuse self-driving cameras, even if a human driver might miss the change. Fake graffiti caused algorithms to misidentify the stop sign as a speed limit sign two-thirds of the time, while applying random tape, called an “abstract art sticker attack” by the researchers, resulted in the miscategorization 100% of the time.” — Michael J. Coren, Reporter Learn More from Quartz >
What we’re reading.
1/ In a hugely important step for the future of civil rights, Members of congress push the FBI, FTC, and the Equal Employment Opportunity Commission to share their plans on how they intend to evaluate bias in AI algorithms. Learn More from Quartz >
2/ As artificial intelligence transitions from “an age of discovery to an age of implementation,” traits unique to Chinese entrepreneurial culture — like the willingness to closely imitate successful companies — may make China, not the US, the new home to cutting edge AI advancements. Learn More from The New York Times >
3/ The Chinese government intends to lead the global conversation on artificial intelligence so their lax stance on data privacy and “AI-powered surveillance” will be adopted by others. Learn More from MIT Technology Review >
4/ The human brain is better than neural networks at seeing and detecting objects because they can do a quick “double take” when things seem off. Learn More from Quanta Magazine >
5/ Since developing countries don’t have the engineering resources to compete with the world’s AI superpowers, they’ll need to double down on industries where human warmth complements technical advancements — like tourism — to not get left behind. Learn More from Bloomberg >
6/ YouTube’s algorithms expose people interested in learning about conservatism and libertarian ideas to white nationalist ideologies. Learn More from The Guardian >
7/ Princeton creates a multi-disciplinary program to teach the fundamentals of artificial intelligence technology and explore ethical dilemmas to “emphasize AI for social good.” Learn More from Princeton University >
Links from the community.
“Artificial Intelligence Has a Strange New Muse: Our Sense of Smell” submitted by Avi Eisenberger (@aeisenberger) . Learn More from WIRED >
“Machine learning beat machine” submitted by Samiur Rahman (@samiur1204). Learn More from Twitter >
“ICML’18 and ECCV’18 highlights” by Tetianka Martyniuk(@mtmthh). Learn More from Noteworthy >
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