Machine Learnings

Awesome, not awesome.

"About a million years ago, an asteroid smacked into the normally tranquil surface of Mars. The impact released a fountain of debris, and some of the rocky fragments pierced the sky, escaping the planet’s gravity to journey through the dark.

Some of the rocks eventually found their way to Earth and survived the plunge through our planet’s atmosphere to thud into the surface–including a hefty 15-pound shard that crashed into Morocco in 2011. Now known to scientists as the depleted shergottites, this collection of more than a dozen space rocks makes up an intriguing portion of the 317 known Martian meteorites—the only material from Mars we have on Earth.

Determining what part of Mars these meteorites came from is a critical part of piecing together the planet’s history—but it’s proven to be a major scientific challenge. Now, with the assistance of a crater-counting machine learning program, a team of researchers studying the depleted shergottites may have finally cracked the case: They concluded that these geologic projectiles came from a single crater atop Tharsis, the largest volcanic feature in the solar system." - Robin George Andrews, Author Learn More from National Geographic >

#Not Awesome
"The South Korean Ministry of Justice has provided more than 100 million photos of foreign nationals who travelled through the country’s airports to facial recognition companies without their consent, according to attorneys with the non-governmental organization Lawyers for a Democratic Society. 

While the use of facial recognition technology has become common for governments across the world, advocates in South Korea are calling the practice a “human rights disaster” that is relatively unprecedented.  

“It’s unheard-of for state organizations—whose duty it is to manage and control facial recognition technology—to hand over biometric information collected for public purposes to a private-sector company for the development of technology,” six civic groups said during a press conference last week." - Ella Fassler, Contributor Learn More from VICE >

What we're reading.

1/ New York City has passed a bill barring AI hiring systems that don't pass mandatory yearly audits that are checking for race or gender based discrimination. Learn More from Engadget >

2/ Apple has pursued electric cars off and on over the years. It appears that they are now back in and focusing on full self-driving capabilities. Learn More from Bloomberg >

3/ Scientists are getting a better understanding of the human brain through the use of worms and machine learning. Learn More from Interesting Engineering >

4/ Twitter has recently been publicly sharing internal findings and plans on how to improve its AI technology. This comes months after the public became aware of Twitter's algorithms favoring faces that are “slim, young, of light or warm skin color and smooth skin texture, and with stereotypically feminine facial traits.” Learn More from Platformer >

5/ Airports and airlines are increasingly partnering with federal officials on facial recognition technology. The stated reasoning is decreased wait times and no need for boarding passes. Some are wondering if we should be worried? Learn More from Discover Magazine >

6/ [Watch] Will artificial intelligence replace human taste-testing? Learn More from CBS News >

7/ [Funding] AI writing tool Grammarly raises $200 million at a $13 billion valuation. The company plans to improve its machine learning technology in order to deliver personalized communication feedback to its users. Learn More from TechCrunch >

If you’re interested in following along in realtime, seeing the articles we read throughout the week, and chatting about the implications of artificial intelligence and machine learning…join our slack community! (we'll be chatting in the #automation channel. Come say hi!) 🤖
21/11/21 View this email in your browser
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