This clever AI hid data from its creators to cheat at its appointed task

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Depending on how paranoid you are, this research from Stanford and Google will be either terrifying or fascinating. A machine learning agent intended to transform aerial images into street maps and back was found to be cheating by hiding information it would need later in “a nearly imperceptible, high-frequency signal.” Clever girl!

But in fact this occurrence, far from illustrating some kind of malign intelligence inherent to AI, simply reveals a problem with computers that has existed since they were invented: they do exactly what you tell them to do.

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AI competition is the new space race

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The technology still has a long way to go despite progress in 2018. The EU, U.S. and China are all determined not to be left behind.

It’s been another year of relentless artificial-intelligence hype and incremental AI achievement. Machines still beat humans only in carefully constructed environments or at narrow tasks. The good news is that, as the technology progresses, the race for leadership is still wide open, and even Europe, where politicians fret that the continent is lagging behind China and the U.S., is still quite competitive.

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The welfare state is committing suicide by Artificial Intelligence

 Daily Life At A Secondary School

Denmark is using algorithms to deliver benefits to citizens—and undermining its own democracy in the process.

Everyone likes to talk about the ways that liberalism might be killed off, whether by populism at home or adversaries abroad. Fewer talk about the growing indications in places like Denmark that liberal democracy might accidentally commit suicide.

As a philosophy of government, liberalism is premised on the belief that the coercive powers of public authorities should be used in service of individual freedom and flourishing, and that they should therefore be constrained by laws controlling their scope, limits, and discretion. That is the basis for historic liberal achievements such as human rights and the rule of law, which are built into the infrastructure of the Scandinavian welfare state.

Yet the idea of legal constraint is increasingly difficult to reconcile with the revolution promised by artificial intelligence and machine learning—specifically, those technologies’ promises of vast social benefits in exchange for unconstrained access to data and lack of adequate regulation on what can be done with it. Algorithms hold the allure of providing wider-ranging benefits to welfare states, and of delivering these benefits more efficiently.

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IBM fingernail sensor tracks health through your grip

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Its AI could detect the development of a disease.

The strength of your grip can frequently be a good indicator of your health, and not just for clearly linked diseases like Parkinson’s — it can gauge your cognitive abilities and even your heart health. To that end, IBM has developed a fingernail sensor that can detect your grip strength and use AI to provide insights. The device uses an array of strain gauges to detect the deformation of your nail as you grab objects, with enough subtlety to detect tasks like opening a pill bottle, turning a key or even writing with your finger.

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Google created AI that just needs a few snapshots to make 3D models of its surroundings

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The algorithm only needs a couple perspectives to figure out what objects look like.

Google’s new type of artificial intelligence algorithm can figure out what things look like from all angles — without needing to see them.

After viewing something from just a few different perspectives, the Generative Query Network was able to piece together an object’s appearance, even as it would appear from angles not analyzed by the algorithm, according to research published today in Science. And it did so without any human supervision or training. That could save a lot of time as engineers prepare increasingly advanced algorithms for technology, but it could also extend the abilities of machine learning to give robots (military or otherwise) greater awareness of their surroundings.

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How fast is artificial intelligence growing? Look at the key bellwethers

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AI & Big Data

One can intuitively surmise artificial intelligence (AI) is today’s hot commodity, gaining traction in businesses, academia and government in recent years. Now, there is data — all in one place — that documents growth across many indicators, including startups, venture capital, job openings and academic programs. These bellwethers were captured in the AI Index, produced under the auspices of was conceived within Stanford University’s Human-Centered AI Institute and the One Hundred Year Study on AI (AI100).

One key measure of AI development is startups and venture capital funding. From January 2015 to January 2018, active AI startups increased 2.1x, while all active startups increased 1.3x, the report states. “For the most part, growth in all active startups has remained relatively steady, while the number of AI startups has seen exponential growth,” the report’s authors add. The trickle of venture capital into AI startups, another bellwether, also turned into a torrent. VC funding for AI startups in the US increased 4.5x from 2013 to 2017. Meanwhile, VC funding for all active startups increased 2.08x.

Another key measure, job openings, accelerated in AI. While machine learning is the largest skill cited as a requirement, deep learning is growing at the fastest rate — from 2015 to 2017 the number of job openings requiring deep learning increased 35x, the report’s authors state.

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AI and the automation of jobs disproportionately affect women, World Economic Forum Warns

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Women are disproportionately affected by the automation of jobs and development of artificial intelligence, which could widen the gender gap if more women are not encouraged to enter the fields of science, technology and engineering, the World Economic Forum warned on Monday.

Despite statistics showing that the economic opportunity gap between men and women narrowed slightly in 2018, the report from the World Economic Forum finds there are proportionally fewer women than men joining the workforce, largely due to the growth of automation and artificial intelligence.

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These people are not real – they were created by AI

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Machine learning algorithms are getting scary-good at creating fake images that look real.

Computers are getting better at generating fake images and video of people saying or doing things they never did in real life. The latest work from chip maker Nvidia takes this a step further by generating convincing-looking images of people who never existed in the first place—they’re AI creations, but they look incredibly real.

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The AI boom is happening all over the world, and it’s accelerating quickly

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The second annual AI Index report pulls together data and expert findings on the field’s progress and acceleration.

The rate of progress in the field of artificial intelligence is one of the most hotly contested aspects of the ongoing boom in teaching computers and robots how to see the world, make sense of it, and eventually perform complex tasks both in the physical realm and the virtual one. And just how fast the industry is moving, and to what end, is typically measured not just by actual product advancements and research milestones, but also by the prognostications and voiced concerns of AI leaders, futurists, academics, economists, and policymakers. AI is going to change the world — but how and when are still open questions.

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These walking robots could help humans get back on their feet again

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Bipedal robots could explore Mars one day. But first they’re teaching scientists at Caltech’s Amber Lab important lessons about helping humans here on Earth.

Watching a robot trip and fall makes my heart sink. The worst part about it? I’m the one responsible.

I’m standing in a Pasadena, California, lab filled with bipedal (or two legged) robots. A researcher challenges me to try and trip a 5-foot, semihumanoid robot called Amber that’s walking on a treadmill. It’s attached with a rope to a railing above as it walks in place, so it’s only going to fall forward or backward if I’m too heavy-handed.

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Brain Corp to provide AI services to Walmart

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The Auto-C, powered by BrainOS, joins Walmarts technology ecosystem.

SAN DIEGO, Dec. 3, 2018 /PRNewswire/ — Brain Corp, a San Diego-based software technology company, announced today that it has entered into a relationship with Walmart to provide AI services to the world’s largest retailer.

Brain Corp’s BrainOS platform currently automates more than a hundred of Walmart’s fleet of commercial floor scrubbers across the United States. BrainOS provides the machines with autonomous navigation and data collection capabilities, all tied into a cloud-based reporting system. Walmart expects to have 360 BrainOS-powered machines in stores by the end of its fiscal year, January 31, 2019.

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