Awesome, not awesome.

#Awesome

“If the deep-learning approach to protein folding lives up to its promise, the number of known protein structures should multiply rapidly. More importantly, so should the number that belong to human proteins. That will be of immediate value to drugmakers. It will also help biologists understand better the fundamental workings of cells — and thus what, at a molecular level, it truly means to be alive..” — Learn More on The Economist >

#Not Awesome

“An automated system designed to catch dads who were not keeping up with childcare payments targeted hundreds of innocent men in Los Angeles who had to pay up or prove their innocence. One man, Walter Vollmer, was sent a bill for more than $200,000. His wife thought he had been leading a secret life and became suicidal. More than 1000 people a week are mistakenly flagged up as terrorists by algorithms used at airports. One man, an American Airlines pilot, was detained 80 times over the course of a year because his name was similar to that of an IRA leader.” — Ian Sample, Editor. Learn More on The Guardian >

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What we’re reading.

1/ Mark Zuckerberg is hell bent on using artificial intelligence to fight ignorance, prevent suicide, and foil terrorist plots. Learn More on BuzzFeed News >

2/ Get ready to compete with an AI for your high-skilled job if you’re only decent at understanding, motivating, and interacting with humans. Learn More on Harvard Business Review >

3/ The Chinese government is dumping cash into scientific research at top universities so their tech companies and academic researchers can outcompete US counterparts in all areas of machine learning. Learn More on The Atlantic >

4/ Unless we empower communities to attack discrimination, hire more people affected by bias, introduce algorithmic auditing, and create an anti-bias certification, the AI we develop will infect our society with even worse forms of racism and bigotry. Learn More on The New York Times >

5/ The next US presidential election will be determined by a political party’s ability to gather data, analyze personalities, and mobilize trolls. Learn More on Scout >

6/ If we don’t use AI in a way that benefits as many people as possible, we will miss the opportunity to invest in some of its most impactful applications. Learn More on MIT Technology Review >

7/ The AI that just beat some of the world’s top poker players may one day find itself being used on the battlefield or for strategic business negotiations. Learn More on Quartz >

Links from the community.

“Serial Killers Should Fear This Algorithm” submitted by Christopher Decou (@chrisdecou). Learn More on Bloomberg Businessweek >

“AI’s New Age” submitted by Tom Morisse (@tmorisse). Learn More on FABERNOVEL >

“The Augmented Intelligence Explosion” submitted by Li Jiang (@gsvpioneer). Learn More on Medium >

“Machine Learning Top 10 Articles for the Past Year (v.2017) submitted by Nick Frost (@thinker). Learn More on Medium >

“Interview with Andrew Ng: Many Leading AI Technologies Were First Deployed in China” submitted by Jiaxin (@synced_global). Learn More on Medium >

Machine Learning (ML) and Artificial Intelligence (AI) are having a huge impact on our lives. We help people make sense of how AI & ML will impact their lives by curating and creating AI content that is accessible and just plain interesting.