Daily Artificial Intelligence News Roundup #149

1. This is how AI in video games will change the future of work

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2. Police across the US are training crime-predicting AIs on falsified data

The problems, said assistant attorney general Thomas Perez at the time, were “serious, wide-ranging, systemic and deeply rooted within the culture of the department. ”

Despite the disturbing findings, the city entered a secret partnership only a year later with data-mining firm Palantir to deploy a predictive policing system. The software is often touted as a way to help thinly stretched police departments make more efficient, data-driven decisions. Read More

3. This is why AI has yet to reshape most businesses

The art of making perfumes and colognes hasn’t changed much since the 1880s, when synthetic ingredients began to be used.
Daub hired IBM to design a computer system that would pore over massive amounts of information—the formulas of existing fragrances, consumer data, regulatory information, on and on—and then suggest new formulations for particular markets. Two fragrances aimed at young customers in Brazil are due to go on sale there in June. Read More

4. US researchers have found a safe way to 3D print explosives –

According to new research out of the US, yes, it is now safe to 3D print explosives, and for a moment there here was I thinking it wasn’t. Over the past couple of years it’s become increasingly evident that additive manufacturing, or to call it by its other name 3D printing, will continue to be one of the biggest ways engineers look to construct increasingly complex designs and materials, from 3D printing skyscrapers in Dubai, and homes in France, to printing completely new and alien alien space materials, and even space stations and habitats on Mars, that are now being used and explored by NASA.

See the technology in action

In short, this means that energetic materials like explosives and pyrotechnics, think everything from C4 like materials to fireworks, can now be safely 3D printed. Read More

5. Artificial Intelligence could help to foil online dating scams

14th February 2019

Artificial Intelligence could help to foil online dating scams

Dating apps and websites could soon use computing algorithms that ‘think’ like humans to pinpoint fake profiles designed to con victims out of thousands of pounds.

Algorithms with this capability have been developed as part of wide-ranging research into combating online fraud led by the University of Warwick and funded by the Engineering and Physical Sciences Research Council (EPSRC) and the Economic and Social Research Council (ESRC).

The new algorithms have been designed specifically to understand what fake dating profiles look like and then to apply this knowledge when they scan profiles submitted to online dating services. Read More

6. Two pricing AIs went rogue and formed a cartel to gouge humans

VendorBot

When the robot revolution comes, our new overlords may not be as benevolent as we’d hoped.

It turns out that AI systems can learn to gang up and cooperate against humans, without communicating or being told to do so, according to new research on algorithms that colluded to raise prices instead of competing to create better deals. But instead of competing against each other to find the lowest, most competitive price, the two warring algorithms in an experiment by scientists from Italy’s University of Bologna decided to gouge their customers and returned to the original, high price — in a move reminiscent of when companies in the same industry fix their prices instead of trying to out-sell each other. Read More

7. Gerd Leonhard | Futurist | Author | Speaker » Team Human vs Team AI: when Rushkoff meets Morozov

Guest post by The Futures Agency curator Peter Van

Rushkoff has a new book – “Team Human” – and confronts the promises of artificial intelligence with the need to understand and reframe the values implicit in technology.

“Human beings are not the problem. We are the solution”

“To a hammer, everything is a nail. Read More

8. Using Global Localization to Improve Navigation

In this post, we’ll discuss some of the limitations of navigation in urban environments and how global localization can help overcome them.

Where GPS Falls Short

The process of identifying the position and orientation of a device relative to some reference point is referred to as localization

. This can result in highly inaccurate placements on the map, meaning that your location could appear on the wrong side of the street, or even a few blocks away. Read More

9. 133: The death of Moore’s Law means spring for chip designers; TF-Replicator lets people parallelize easily; and fighting human trafficking with the Hotels 50K dataset

Administrative note: A short issue this week as I’ve spent the past few days participating in an OECD working group on AI principles and then spending time at the Global Governance of AI Summit in Dubai. Put another way: we live currently in the twilight era of Moore’s Law, as almost five decades of predictable improvements in computer power give way to more discontinuous leaps in capability as a consequence of the invention of specialized hardware platforms, rather than improvement in general chips.

Fighting human trafficking with the Hotels-50k dataset:…New dataset designed to help people match photos to specific hotels…Researchers with George Washington University, Adobe Research, and Temple University have released Hotels-50k, “a large-scale dataset designed to support research in hotel recognition for images with the long term goal of supporting robust applications to aid in criminal investigations”. Read More

10. A.I. Shows Promise Assisting Physicians

Many organizations, including Google, are developing and testing systems that analyze electronic health records in an effort to flag medical conditions such as osteoporosis, diabetes, hypertension and heart failure. s and eye scans. A neural network can learn tasks largely on its own by analyzing vast amounts of data. Read More

11. Trump Signs Executive Order Promoting Artificial Intelligence

The United States is engaged in an increasingly bitter trade war with China. And while American companies like Google and Amazon are now leaders in A. Other governments, too, began making large investments, including South Korea, Britain, France and Canada. Read More

12. The first walking robot that moves without GPS

Desert ants are extraordinary solitary navigators. Researchers were inspired by these ants as they designed AntBot, the first walking robot that can explore its environment randomly and go home automatically, without GPS or mapping. Their extraordinary navigation talent relies on two pieces of information: the heading measured using a sort of “celestial compass” to orient themselves using the sky’s polarized light, and the distance covered, measured by simply counting steps and incorporating the rate of movement relative to the sun measured optically by their eyes. Read More

13. Learning Preferences by Looking at the World

Learning Preferences by Looking at the World

It would be great if we could all have household robots do our chores for us. Unfortunately, AI systems trained with reinforcement
learning only optimize features specified in the reward function and are
indifferent to anything we might’ve inadvertently left out.

For example, consider the room to the right, where Alice asks her robot to
navigate to the purple door. Read More

14. The robot that learned how to skate on ice

Robots can walk, climb, and even open doors.

Stelian Coros, a professor at the Computational Robotics Lab at ETH Zurich, says the only thing his team did was to tell the robot how one skate behaved on the ice, and that it was free to move in the direction of the blade.

The robots could one day be used for activities as diverse as deliveries, helping people or even search and rescue work. Read More