CEOs who can understand and identify the potential of machine learning could significantly increase their revenues or decrease their costs.
Sourced through Scoop.it from: chiefexecutive.net
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Highlights from the TensorFlow Developer Summit, 2018
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
China’s AI Awakening: how China is beating the West at the #AI reace
Artificial intelligence may have been invented in the West, but you can see its future taking shape on the other side of the world.
Sourced through Scoop.it from: www.technologyreview.com
The Facebook and Cambridge Analytica scandal, explained with a simple diagram
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
Facebook’s Zuckerberg finally responds to Cambridge Analytica scandal, announces Changes
Says apps will be audited, sets new restrictions on apps’ data access.
Sourced through Scoop.it from: marketingland.com
Rainforest Connection is using Google’s TensorFlow to curb illegal deforestation
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
Chinese Police Add Facial Recognition Glasses to Their Surveillance Arsenal
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
Machine Learning Trends and Data from CES 2018
Machine learning continues to expand and grow worldwide. CES 2018 provided excellent insight on the trends within the emerging technology.
Sourced through Scoop.it from: crescentvale.com
Morality algorithm lets machines cooperate and compromise better than humans
Over the past year, it’s become pretty clear that machines can now beat us in many straightforward zero-sum games. A new study from an international team of computer scientists set out to develop a new type of game-playing algorithm – one that can play games that rely on traits like cooperation and compromise – and the researchers have found that machines can already deploy those characteristics better than humans.
Chess, Go and Poker are all adversarial games where two or more players are in conflict with each other. Games such as these offer clear milestones to gauge the progress of AI development, allowing humans to be pitted against computers with a tangible winner. But many real-world scenarios that AI will ultimately operate in require more complex, cooperative long term relationships between humans and machines.
“The end goal is that we understand the mathematics behind cooperation with people and what attributes artificial intelligence needs to develop social skills,” says lead author on the new study Jacob Crandall. “AI needs to be able to respond to us and articulate what it’s doing. It has to be able to interact with other people.”
Sourced through Scoop.it from: newatlas.com
Are Most Machine Learning Experts Turning to Deep Learning?
Read a short opinion on what the impact of machine learning researchers focusing on deep learning will be.
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