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Highlights from the TensorFlow Developer Summit, 2018

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Today, we’re holding the second TensorFlow Developer Summit at the Computer History Museum in Mountain View, CA! The event brings together over 500 TensorFlow users in-person and thousands tuning into the livestream at TensorFlow events around the world. The day is filled with new product announcements along with technical talks from the TensorFlow team and guest speakers.

Machine learning is solving challenging problems that impact everyone around the world. Problems that we thought were impossible or too complex to solve are now possible with this technology. Using TensorFlow, we’ve already seen great advancements in many different fields. For example:

Astrophysicists are using TensorFlow to analyze large amounts of data from the Kepler mission to discover new planets.
Medical researchers are using ML techniques with TensorFlow to assess a person’s cardiovascular risk of a heart attack and stroke.
Air Traffic Controllers are using TensorFlow to predict flight routes through crowded airspace for safe and efficient landings.
Engineers are using TensorFlow to analyze auditory data in the rainforest to detect logging trucks and other illegal activities.
Scientists in Africa are using TensorFlow to detect diseases in Cassava plants to improving yield for farmers.

Sourced through Scoop.it from: medium.com

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The Facebook and Cambridge Analytica scandal, explained with a simple diagram

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There is a complicated web of relationships that explains how the Trump campaign, via the help of a political consulting firm, was able to harvest raw data from 50 million Facebook profiles to direct its messaging.

The consulting firm, Cambridge Analytica, is tangled up in several scandals, as my colleague Andrew Prokop explains in this excellent piece. But it’s hard to keep track of how all the pieces fit together.

So we decided to diagram the scandal to help make sense of it all.

1) Here’s the very simple version of the story

Facebook exposed data on 50 million Facebook users to a researcher who worked at Cambridge Analytica, which worked for the Trump campaign.

Sourced through Scoop.it from: www.vox.com

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Rainforest Connection is using Google’s TensorFlow to curb illegal deforestation

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TensorFlow is Google’s open source framework for machine learning. Rainforest Connection is using this framework to protect the rainforests, such as the Amazon. The method is ingenious and representative of a utilitarian society that we should all be lurching towards.

It’s pretty much impossible to expect investments in human guards across the entirety of the Amazon rainforest. So what’s the next best thing? The people living in the rainforest themselves. Collaborating with local tribes in the Amazon, such as the Tembé tribe from central Amazon, Rainforest Connection has come up with a solution that combines the best of the old world with the new.

Sourced through Scoop.it from: www.tapscape.com

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Chinese Police Add Facial Recognition Glasses to Their Surveillance Arsenal

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You’ve probably heard of Transitions lenses that can adapt to changing light conditions. Now, get ready for facial recognition lenses.

Police officers in Zhengzhou, China have been spotted wearing sunglasses equipped with facial recognition software that allows them to identify individuals in a crowd. These surveillance sunglasses were actually rolled out last year, but a recent report from China’s QQ published a series of photos of the glasses in action.

China has consistently been ahead of the curve in terms of utilizing artificial intelligence (AI) for surveillance. The country’s CCTV system tracked down a BBC reporter in just seven minutes during a demonstration in 2017. But this new technology, developed by LLVision, takes China’s surveillance efforts to a whole new level. Not just in theory, either — reports from the official People’s Daily newspaper seem to indicate that it’s improving police work.

Sourced through Scoop.it from: futurism.com