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In this week's Top 5, learn how AI is eating software, how NVIDIA is building its own TPU, and more.
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May 24th, 2017 DEEP LEARNING TOP 5 Insights into the new computing model
DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI).
IT IS DRIVING SIGNIFICANT ADVANCEMENTS ACROSS INDUSTRIES AND ENTERPRISES.
HERE ARE THE “TOP FIVE” STORIES HIGHLIGHTING HOW DEEP LEARNING AND AI ARE ACCELERATING INNOVATION THIS WEEK … TOP 5 1. AI is Eating Software 2. Why NVIDIA is Building Its Own TPU 3. AI Podcast: Using Deep Learning to Improve the Hands-Free, Voice Experience 4. Twitter Uses Machine Learning and Deep Learning 5. What’s a Generative Adversarial Network?
1 AI IS EATING SOFTWARE “Software is eating the world, as Marc Andreessen said, but AI is eating software. The number of software developers following the leading AI frameworks on the GitHub open-source software repository has grown to more than from 75,000 from fewer than 5,000 over the past two years.” READ BLOG “Deep learning is a strategic imperative for every major tech company. It increasingly permeates every aspect of work from infrastructure, to tools, to how products are made.” -Jensen Huang, NVIDIA CEO
2 WHY NVIDIA IS BUILDING ITS OWN TPU “The blistering pace of innovation in artificial intelligence for image, voice, robotic and self-driving vehicle applications has been fueled, in large part, by NVIDIA GPU chips that deliver the massive compute power required by the underlying math required for Deep Learning.” READ ARTICLE “Now NVIDIA itself seems to have embraced this approach, albeit in a limited fashion, announcing its own ASIC technology for Deep Learning acceleration. In a surprising and bold move, the company also announced that it will open source this technology to enable others to build chips using this technology.” -Karl Freund, Moor Insights and Strategy Analyst
3 AI PODCAST: USING DEEP LEARNING TO IMPROVE THE HANDS-FREE, VOICE EXPERIENCE “What would the future of intelligent devices look like if we could bounce from using Amazon’s Alexa to order a new book to Google Assistant to schedule our next appointment, all in the course of a single conversation? The latest episode of our AI podcast dives into this question as part of a conversation with Kitt.ai founder Xuchen Yao.” LISTEN NOW “I imagine in five to 10 years, we’re going to have the personal assistant everywhere we go,” -Xuchen Yao, Kitt.ai founder
4 TWITTER USES MACHINE LEARNING & DEEP LEARNING “We’ve been applying a lot of deep learning to notifications to alert you to exactly what’s going on, what matters and kind of like being a little bird that flies on your shoulder and tells you, “Hey, this is happening, this is going on.” You go into the app and you see exactly what’s happening and, more important, see what people think about it, as well.” READ ARTICLE “It just means that we’re going to make sure that we’re honoring people’s time, and we’re delivering that content to them that matters to them as fast as possible and in a meaningful way..” -Jack Dorsey, Twitter CEO
5 WHAT’S A GENERATIVE ADVERSARIAL NETWORK? “If you haven’t yet heard of generative adversarial networks, don’t worry, you will. The hottest topic in deep learning, GANs, as they’re called, have the potential to create systems that learn more with less help from humans.” READ BLOG “Rather than train a single neural network to recognize pictures, researchers train two competing networks…You can think of this being like a competition between counterfeiters and police. Counterfeiters want to make fake money and have it look real, and police want to look at any particular bill and determine if it’s fake.” -Ian Goodfellow, Google research scientist
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