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HPE introduces new set of artificial intelligence platforms and services - ET CIO

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Bengaluru: Hewlett Packard Enterprise (HPE) today announced new purpose-built platforms and services capabilities to help companies simplify the adoption of Artificial Intelligence, with an initial focus on a key subset of AI known as deep learning. Inspired by the human brain, deep learning is typically implemented for challenging tasks such as image and facial recognition, image classification and voice recognition. To take advantage of deep learning, enterprises need a high performance compute infrastructure to build and train learning models that can manage large volumes of data to recognize patterns in audio, images, videos, text and sensor data. Many organizations lack several integral requirements to implement deep learning, including expertise and resources; sophisticated and tailored hardware and software infrastructure; and the integration capabilities required to assimilate different pieces of hardware and software to scale AI systems. To help customers overcome these challenges and realize the potential of AI, HPE is announcing the following offerings: • HPE's Rapid Software Development for AI: HPE introduced an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications.


Send scam emails to this chatbot and it'll waste their time for you

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They're usually a waste of your time, so why not have them waste someone else's instead? Better yet: why not have them waste an email scammer's time. That's the premise behind Re:scam, an email chatbot operated by New Zealand cybersecurity firm Netsafe. Next time you get a dodgy email in your inbox, says Netsafe, forward it on to me@rescam.org, You can see a few sample dialogues in the video above, or check out a longer back-and-forth below.


How to win customers: Artificial Intelligence is the answer; see how

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There is an app for that! It is such a common phrase. From finding phone numbers to scheduling upcoming meetings and even getting directions for best routes, apps have made our lives easier, thanks to technology. Companies such as Google, Amazon, Facebook, Alibaba and Apple, often called GAFAA, are leading the charge for even more change. They are leveraging Artificial Intelligence (AI) to mine data that is being collected by them from their users.


Machine Learning Meets IC Design

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Machine Learning (ML) is one of the hot buzzwords these days, but even though EDA deals with big-data types of issues it has not made much progress incorporating ML techniques into EDA tools. Many EDA problems and solutions are statistical in nature, which would suggest a natural fit. So why is it so slow to adopt machine learning technology, while other technology areas such as vision recognition and search have embraced it so easily? "You can smell a machine learning problem," said Jeff Dyck, vice president of technical operation for Solido Design Automation. "We have a ton of data, but which methods can we apply to solve the problems?


Most businesses are about to plough cash into artificial intelligence

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Most businesses are planning to plough cash into artificial intelligence over the next two years as just one in ten leaders believes the UK to be a world leader in digital. Some 85 per cent of the more than 50 organisations surveyed by Deloitte, which collectively are worth more than £200bn, said they will invest in the technology along with the Internet of Things (IoT). AI was identified as potentially the most disruptive technology, though only 22 per cent have invested in it already. By 2020 more than half will put in more than £10m into digital technology, which also includes areas such as robotics, cloud blockchain and virtual and augmented reality, while a third will invest that much this year alone the Digital Disruption Index found. However, that amount is dwarfed by the size of overall IT budgets: a quarter of firms spend more than £75m each year.


Artificial intelligence is taking on ransomware

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Twice in the space of six weeks, the world has suffered major attacks of ransomware -- malicious software that locks up photos and other files stored on your computer, then demands money to release them. It's clear that the world needs better defenses, and fortunately those are starting to emerge, if slowly and in patchwork fashion. When they arrive, we may have artificial intelligence to thank. Ransomware isn't necessarily trickier or more dangerous than other malware that sneaks onto your computer, but it can be much more aggravating, and at times devastating. Most such infections don't get in your face about taking your digital stuff away from you the way ransomware does, nor do they shake you down for hundreds of dollars or more.


Drug Discovery AI to Scour a Universe of Molecules for Wonder Drugs

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On a dark night, away from city lights, the stars of the Milky Way can seem uncountable. Yet from any given location no more than 4,500 are visible to the naked eye. Meanwhile, our galaxy has 100–400 billion stars, and there are even more galaxies in the universe. The numbers of the night sky are humbling. And they give us a deep perspective…on drugs.


5 Ways Machine Learning Will Transform Your Marketing

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Earlier this year, we ran an article explaining why machine learning is much bigger than Google and RankBrain. The technology isn't just making our search engines and devices more intelligent; it's transforming the way we approach and manage our marketing campaigns. The machine learning revolution has already begun and things are going to get a lot more exciting over the next few years. So, to give you a taste of what's to come, here are five ways machine learning will transform your marketing workflow. As things stand, most marketers are swimming in more data than they can handle.


5 Ways Machine Learning Will Transform Your Marketing

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Earlier this year, we ran an article explaining why machine learning is much bigger than Google and RankBrain. The technology isn't just making our search engines and devices more intelligent; it's transforming the way we approach and manage our marketing campaigns. The machine learning revolution has already begun and things are going to get a lot more exciting over the next few years. So, to give you a taste of what's to come, here are five ways machine learning will transform your marketing workflow. As things stand, most marketers are swimming in more data than they can handle.


India can get self-driving cars--despite its drivers, jaywalkers and cows

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As global giants like Tesla, Uber, and Google take self-driving cars to the streets, Indian companies are still at the experimental stage. Earlier this year, local carmaker Tata Motors sought permission to test its driverless vehicle on Bengaluru's roads. Software behemoth Infosys is training its engineers in self-driving technology. A number of Indian Institutes of Technology (IIT) are also working on such automobiles tailor-made for the country. However, there's been one major hurdle to self-driving technology in India: a legion of lawbreakers, from rash drivers and jaywalkers to cattle.