Tagged With machine learning

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Machine learning is changing the way systems are being designed and how we process information. That's true in security as well. But can a ML-based approach protect us when dealing with attack vectors and exploits that haven't been seen before? I spoke with Cylance's VP for engineering, Milind Karnik.

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Artificial intelligence has been big news over the last year or so. While the idea of the technology is not new - Arthur C Clarke's HAL 9000 brought it to the fore back in 1968 when 2001: A Space Odyssey was released - we have reached a tipping point as the amount of data we have access to has exploded and the cloud has made vast amounts of computing power accessible. But we are only now starting to think about the real impacts of AI on business and society.

Predicting the future is near impossible -- but that doesn‘t stop us all from having a red hot go. Human beings have been predicting the future since the beginning of history and the results range from the hilarious to the downright uncanny.

One thing all future predictions have in common: they‘re rooted in our current understanding of how the world works. It‘s difficult to escape that mindset. We have no idea how technology will evolve, so our ideas are connected to the technology of today.

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Zendesk has developed Answer Bot - a chat bot that can deflect email support requests. And while they're not the first to do this, they are the only company I've found that has been developed a bot Ike this locally that can work at the scale Zendesk delivers. I spoke with Zendesk's Brett Adam, the managing director ANZ and VP of engineering for APAC and data scientist Chris Hausler.

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A panel hosted by the Australian Computer Society (ACS), featuring Liz Bacon (a past President British Computer Society), Marita Cheng (Founder/CEO of Aubot and winner of Young Australian of the Year), Mike Hinchey (from the International Federation for Information Processing) and Anthony Wong (current President of the ACS) discussed what AI is and how it will impact the IT industry and society.

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I have to admit to a little bit of self-interest in this story, as someone I love has Type 1 diabetes (it used to be called Juvenile Diabetes). The Juvenile Diabetes Reseach Foundation (JDRF) and IBM have commenced a new collaboration to apply machine learning in order to identify the factors leading to the onset to this autoimmune disease.

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At last week's SplunkLive! event, the company's global field leader for IT markets, Johnathon Cervelli opened the event, saying the company has continued to grow their business with a focus on more than security analytics although this continues to be an area the company is working on. Cervelli says companies are using data, not just to secure their businesses, but to also make more sense of changing environments as businesses move to an increasingly hybrid world.

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Artificial intelligence is infiltrating our daily lives, with applications that curate your phone pics, manage your email, and translate text from any language into another. Google, Facebook, Apple and Microsoft are all heavily researching how to integrate AI into their major services. Soon you'll likely interact with an AI (or its output) every time you pick up your phone. Should you trust it? Not always.

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Our world moves at a breakneck pace, making it easy to feel overwhelmed and stressed out. That's why it's important to find time to take care of yourself -- even if you only have a few minutes here and there. Thankfully, Aura's meditation teachers and therapists had our busy schedules in mind when making Aura Premium, a science-backed mindfulness tool to help you give anxiety the boot.

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Computers believe in conspiracy theories now. The New Inquiry's Francis Tseng trained a bot to recognise patterns in photos and draw links between similar pictures, forming the kind of conspiracy-theory diagram seen in the last act of a Homeland episode or the front page of Reddit. It's a cute trick that reminds us that humans are gullible (hey, maybe those photos do match!), and that the machines we train to think for us could end up just as gullible.

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In my salad days I posted some supremely unflattering selfies. I was a photo newbie, a bearded amateur mugging for the camera. I'm happy to say that the results of my self-portraits (shared below purely for educational purposes, of course) have improved through experience, but if I had a ruthless robot telling me where I was going wrong it would have been a lot easier. Luckily, the magic of machine learning is now upon us, and it's here to tell us how to take a good selfie.

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Today, a lot of high-profile deep machine learning projects in the cloud are powered by GPUs; specifically NVIDIA GPUs. Even Facebook uses them for its own machine learning work behind-the-scenes. GPUs are able to handle the massive amounts of computing power required to train deep neural networks that facilitate these projects. But Huawei deputy chairman and rotating CEO Eric Xu believes the future of machine learning lies in dedicated processors. Read on to find out more.

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Stock photos provider Shutterstock has used machine-learning to give iPhone users an easier way to find the images they want without trawling through every single picture in the company's catalogue. iOS users can now simply take a photo and use that instead of keywords to look for images on Shutterstock. Considering the company has around 80 million pictures on file, the new feature will definitely come in handy for mobile users.

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Dear Lifehacker, Last week, Microsoft's "teen girl" chatbot Tay transformed into a racist, sexist and creepily horny Holocaust denier in its first day of existence. Meanwhile, great thinkers like Elon Musk are freaking out about the dangers of machine learning. Should we be worried about the ways robots and AI software are learning to "think"?