Awesome, not awesome.
#Awesome
“Researchers have developed an AI algorithm which can solve a Rubik’s Cube in a fraction of a second…the solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions.” — Aristos Georgiou, Reporter Learn More from Newsweek >
#Not Awesome
“…[A border surveillance firm] wants to “produce vehicle-specific profiles” using cameras and “unique machine learning algorithms,” allowing [New York City] to immediately recognize and build travel histories of every car in the congestion zone. Law enforcement and surveillance experts said the system described goes far beyond what would ever be necessary to mail scofflaws traffic tickets. Instead, it is an entirely new sort of surveillance apparatus that tracks deeply personal information like “customer travel patterns and travel consistency,” the number of passengers in the car, or “likely trip purpose,”” — Sam Biddle, Reporter Learn More from The Intercept >
What we’re reading.
1/ People are concerned that FaceApp, the app that uses machine learning to show you what your face could like a few decades from now, can “use your photos, your name, your username, and your likeness for any purpose including commercial purposes (like on a billboard or internet ad).” Learn More from The Washington Post >
2/ Executives at companies building autonomous cars are stepping back from their promises to get driverless vehicles on the road by 2019 — human behavior leaves to more “crazy things on the road” than they had expected. Learn More from The New York Times >
3/ Elon Musk shows off the progress made by Neuralink, the company building a brain-computer link, saying we’re getting closer to be able to “secure humanity’s future as a civilization relative to AI.” Learn More from Axios >
4/ To guard people against biased algorithmic decisions, we need to create AI systems that automatically audit other algorithms. Learn More from WIRED >
5/ While self-driving cars may take longer to reach the road than one predicted, autonomous semi trucks are ahead of schedule. Learn More from Quartz >
6/ Alphabet’s DeepMind stuns the health care world with a demonstration of its ability to predict protein shapes — a key step towards creating drugs that can treat disease. Learn More from Bloomberg >
7/ Scientists use machine learning to combine predictions of climate models, helping governments to prepare citizens for — and hopefully prevent — climate change. Learn More from National Geographic >
What we’re building.
Come build the next-generation productivity platform with us at Journal! We’re hiring frontend, fullstack, infrastructure, and ML engineers. See the opportunities >
Links from the community.
“A Differentiable Programming System to Bridge Machine Learning and Scientific Computing” submitted by Samiur Rahman (@samiur1204). Learn More from arxiv >
“This AI Makes The Mona Lisa Come To Life” submitted by Avi Eisenberger (@aeisenberger). Learn More from YouTube >
“Couscous OR not Couscous, let CoreML decides — iOS application” by Omar M’Haimdat. Learn More from Noteworthy >
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Machine learning and saying goodbye to privacy was originally published in Machine Learnings on Medium, where people are continuing the conversation by highlighting and responding to this story.
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