Tag: Artificial intelligence

Feed: All - O'Reilly Media. Author: Siddha Ganju. Cross entropy loss per epoch curve at Learning Rate 1 (source: Siddha Ganju, used with permission) Check out Siddha Ganju’s talk on embedded deep learning at the Artificial Intelligence Conference in San Francisco, Sept. 17-20, 2017. Registration is now open. Learning rate is the rate at which the accumulation of information in a neural network progresses over time. The learning rate determines how quickly (and whether at all) the network reaches the optimum, most conducive location in the network for the specific output desired. In plain Stochastic Gradient Descent (SGD), the learning ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. INL's Advanced Test Reactor (source: Idaho National Laboratory on Flickr) Learn how to build reinforcement learning applications by attending a tutorial on Ray at the Artificial Intelligence Conference in San Francisco, on September 17-20, 2017. Save 20% with the code BIGDATA20. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Robert Nishihara and Philipp Moritz, graduate students at UC Berkeley and members of ... Read More

Feed: All - O'Reilly Media. Author: Elsa Sotiriadis. A 1925 artist's conception of what Nikola Tesla's wireless power transmission system might look like in the future (source: Wikimedia Commons) Sign up for BioCoder news and updates to say on top of the biological revolution. Biology is becoming the new digital. As the engineering of biology starts delivering solutions at industrial scale while becoming more data-driven and automated, investors are getting excited to fund breakthrough biotechnologies that unlock this potential for a whole range of industries. Europe has been steadily rising as a global hub for innovation and is attracting big ... Read More

Feed: All - O'Reilly Media. Author: Yishay Carmiel. Soundwave. (source: Pixabay) To learn more about conversational AI, check out Yishay Carmiel’s session Applications of neural-based models for conversational speech at the Artificial Intelligence Conference in San Francisco, Sept. 17-20, 2017. Registration is now open. The dream of speech recognition is a system that truly understands humans speaking—in different environments, with a variety of accents and languages. For decades, people tackled this problem with no success. Pinpointing effective strategies for creating such a system seemed impossible. In the past years, however, breakthroughs in AI and deep learning have changed everything in ... Read More

Feed: All - O'Reilly Media. Author: Jon Bruner. Woolen threads being woven in a loom (source: Bea Lipson, CSIRO, on Wikimedia Commons) Download the free ebook, “Getting Data Right,” to learn more about data management and integration. As companies have embraced the idea of data-driven management, many have discovered that their hard-won stores of valuable data are badly siloed: separate troves of data live in different parts of the company on separate systems. These data sets may relate to each other in essence, but they’re often difficult to integrate because they differ slightly in schemas and data definitions. In this ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. Stockton Infinity Bridge (source: darren price on Flickr) There will back-to-back half-day tutorials on reinforcement learning at the upcoming Artificial Intelligence Conference in San Francisco: Building reinforcement learning applications with Ray and Introduction to reinforcement learning. As more companies begin to experiment with and deploy machine learning in different settings, it’s good to look ahead at what future systems might look like. Today, the typical sequence is to gather data, learn some underlying structure, and deploy an algorithm that systematically captures what you’ve learned. Gathering, preparing, and enriching the right data—particularly training ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. Anatomy. (source: Pixabay) Learn how companies are using deep learning and AI by attending the Artificial Intelligence Conference in San Francisco, September 17-20, 2017. Save 20% with the code BIGDATA20. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Soumith Chintala, AI research engineer at Facebook. Among his many research projects, Chintala was part of the team behind DCGAN (Deep Convolutional Generative Adversarial ... Read More

Feed: All - O'Reilly Media. Author: Adam Michael Wood. Pyramid pattern. (source: Pixabay) In "Learning to Love Data Science," Mike Barlow looks at how organizations are using data science to turn information into wisdom and business value. Download a collection of free chapters from "Learning to Love Data Science." We are swimming in data. Or possibly drowning in it. Organizations and individuals are generating and storing data at a phenomenal and ever-increasing rate. The volume and speed of data collection has given rise to a host of new technologies and new roles focused on dealing with this data, managing it, ... Read More

Feed: Planet big data. Author: Jaco Rossouw. Here's a blog post covering some of the most frequently asked questions we get on Machine Learning and Artificial Intelligence, or Cognitive Computing. We start off with "What is Machine Learing?" and finish off with addressing some of the fears and misconceptions of Artificial Intelligence. So, what is machine learning? A simple search on Google for the answer will yield many definitions for it that leave most non-analytical people confused and entering more "What is..." statements into Google. So, I asked our Head of Marketing to try his hand at defining Machine Learning in the most ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy,  Critical systems - automated piloting, running a power plant - usually do well with AI and automation, as considerable testing is done before deploying these systems. But for many mundane tasks, such as spam detection, chatbots, ... Read More