Want to fool a computer vision system? Just tweak some colors

Research into machine learning and the interesting AI models created as a consequence are popular topics these days. But there’s a sort of shadow world of scientists working to undermine these systems — not to show they’re worthless but to shore up their weaknesses. A new paper demonstrates this by showing how vulnerable image recognition models are to the simplest color manipulations of the pictures they’re meant to identify.

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The Linux Foundation launches a deep learning foundation

Despite its name, the Linux Foundation has long been about more than just Linux. These days, it’s a foundation that provides support to other open source foundations and projects like Cloud Foundry, the Automotive Grade Linux initiative and the Cloud Native Computing Foundation. Today, the Linux Foundation is adding yet another foundation to its stable: the […]

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Peer-reviewed study shows Cardiogram and Apple Watch can accurately determine atrial fibrillation

Over the past year, Cardiogram and UC San Francisco (UCSF) have presented a series of findings on how well consumer wearables like the Apple Watch and Android Wear can detect medical conditions in their users, including diabetes as well as hypertension and sleep apnea. Now, the startup is reaching a new milestone, this morning publishing […]

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IBM brings its Power9 servers with Nvidia GPUs to its cloud

IBM is hosing its annual THINK conference to packed halls in Las Vegas this week. Given how important its cloud business has become to its bottom line, it’s no surprise that this event features its fair share of cloud news. Among today’s announcements it the launch of the third generation of Power Systems servers in […]

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We need to improve the accuracy of AI accuracy discussions

 Reading the tech press, you would be forgiven for believing that AI is going to eat pretty much every industry and job. Not a day goes by without another reporter breathlessly reporting some new machine learning product that is going to trounce human intelligence. That surfeit of enthusiasm doesn’t originate just with journalists though — they are merely channeling the wild optimism… Read More

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Atomwise, which uses AI to improve drug discovery, raises $45M Series A

 Atomwise, which uses deep learning to shorten the process of discovering new drugs, has raised a $45 million Series A. The round was led by Monsanto Growth Ventures, Data Collective (DCVC) and B Capital Group. Baidu Ventures, Tencent and Dolby Fa…

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MIT’s new chip could bring neural nets to battery-powered gadgets

 MIT researchers have developed a chip designed to speed up the hard work of running neural networks, while also reducing the power consumed when doing so dramatically – by up to 95 percent, in fact. The basic concept involves simplifying the chip design so that shuttling of data between different processors on the same chip is taken out of the equation. The big advantage of this new… Read More

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A guide to ‘deepfakes,’ the internet’s latest moral crisis

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Where there’s innovation, there’s masturbation — at least in one dark corner of the internet, where nearly 80,000 people have gathered to share fabricated videos of celebrity women having sex and Nicolas Cage uncovering the Ark of the Covenant. 

These are “deepfakes,” a new kind of video featuring realistic face-swaps. In short, a computer program finds common ground between two faces and stitches one over the other. If the source footage is good enough, the transformation is nearly seamless. 

The technology is relatively easy to use, which has created an enthusiast community on Reddit, where users compare notes and swap their latest work: “Emma Watson sex tape demo ;-),” “Lela Star x Kim Kardashian,” and “Giving Putin the Trump face” among them. Read more…

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Google’s AutoML lets you train custom machine learning models without having to code

 Google today announced the alpha launch of AutoML Vision, a new service that helps developers — including those with no machine learning (ML) expertise — build custom image recognition models. While Google plans to expand this custom ML model builder under the AutoML brand to other areas, the service for now only supports computer vision models. Read More

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AI Everywhere: Surprising ways we already interact with artificial intelligence

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If someone were to say to you that you’ve spent all day interacting with artificial intelligence, you’d probably stop and try to recount any instances of accidentally running into a robot

Despite what’s constantly being hammered into our brains via science fiction movies and television, AI comes in many forms, which may surprise you. Not only has artificial intelligence become integrated within a number of industries, but it’s teaching people how to streamline business and optimize their lives.

From social media to public service, some people are interacting with artificial intelligence every single day and it may surprise you how broadly it is being adopted. Here are some ways we’re already using AI on the daily.  Read more…

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Andrew Ng’s Landing.ai wants to bring artificial intelligence to the manufacturing industry, starting with Foxconn

 AI pioneer Andrew Ng is probably best known for his work on the Google Brain project and for leading Baidu’s AI group. After leaving Baidu earlier this year, it wasn’t quite clear what exactly Ng was up to, but today he announced the launch of Landing.ai, a new startup that focuses on bringing artificial intelligence to the manufacturing industry. Read More

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Nvidia’s $2,999 Titan V is a 110 teraflop GPU for AI processing

 Nvidia cards are the de facto standard for running machine learning workloads and today, the company added yet another high-end compute-centric card to its line-up: the Titan V. This card, which is based on Nvidia’s Volta architecture, features 21.1 billion transistors on a 815 mm2 chip that can produce a full 110 teraflops of compute power. All of that power comes at a price, though.… Read More

View More Nvidia’s $2,999 Titan V is a 110 teraflop GPU for AI processing