Book Review Python Machine Learning - Second Edition
The book Python Machine Learning, second edition by Sebastian Raschka and Vahid Mirjalili, is a tutorial to a broad range of machine learning applications with Python. It provides a practical introduction to machine learning. The main revision to the first edition is neural network practices. There are now five chapters that discuss neural networks, and their implementation in TensorFlow.
Jensen Huang Announces NVIDIA's New Projects at the GPU Technology Conference
Today the GPU Technology conference in Munich kicked off with a keynote by NVIDIA CEO Jensen Huang. NVIDIA announced the NVIDIA Holodeck, the Tensor RT 3 library, NVIDIA's Drive platform, and the Pegasus computer for autonomous taxis.
Teachable Machine: Teach a Machine Using Your Camera in Your Browser
Teachable Machine is a browser application that you can train with your webcam to recognize objects or expressions. In the demo you use your webcam as input to recognize three different classes of objects or expressions. Based on your camera input, the site shows different gifs, plays prerecorded sounds, or plays speech. The demo can be found here: teachablemachine.withgoogle.com
Microsoft Updates AI Services and Tools for Data Scientists and Developers
At the recent Ignite conference, Microsoft released several updates related to its Artificial Intelligence (AI) services and tools. These updates include the release of the Azure ML Experimentation service, Azure ML Model Management service, Azure ML Workbench and the general availability of Microsoft Cognitive Services.
Apple Details Face ID Security
Apple has described how Face ID works and how it guarantees security in a new white paper.
Q&A with Hillery Hunter: IBM Reduces Neural Network Training Times by Efficiently Scaling Training
In August 2017 IBM announced it broke the training record for image recognition capabilities. IBM research reduced their training time for the neural network layout called "ResNet-50" to only 50 minutes. On another network layout called ResNet-101, they obtained an accuracy record of 33.8 percent. Using 256 GPUs they trained their neural network on a dataset containing 7.5 million images.
TensorFlow Serving 1.0 Release Detailed at Google I/O
Google's Noah Fiedel details new programming model for TensorFlow Serving in a stable 1.0 release. Subject matter addresses common challenges with portability, servablility, and reproducibility improvements.
Apple’s iPhone X Has Custom Neural Engine Processor Built In
Speaking in the Steve Jobs Theatre at Apple Park yesterday Philip Schiller, senior vice president of worldwide marketing at Apple, described some of the technology behind the facial recognition system in the newly announced iPhone X including a dedicated neural engine built into the A11 chip.
NERSC Scales Scientific Deep Learning to 15 Petaflops
Intel, Stanford and National Energy Research Scientific Computing Center (NERSC) recently announced the first super computing cluster achieving 15 Petaflops of computing calculations power. This was achieved by a cluster of 9,622 Intel Xeon Phi processors at 1.4Ghz for a combined 2,629,696 threads of computation. In this article we will explore the hybrid approach behind achieving strong scaling.
Apple Reveals the Inner Workings of Siri's New Intonation
Apple has explained how they use deep learning to make Siri's intonation sound more natural. IPhone owners can interact with Siri by asking questions in natural language and Siri responds by voice. At WWDC 2017, Apple announced that in iOS 11 Siri would use a new text to speech engine. In August 2017, Apple's machine learning journal unveiled how they were able to make Siri sound more human.
Q&A with Movidius, a Division of Intel Who Just Launched the Neural Compute Stick
Recently Movidius (a division of Intel's New Technology Group) released the neural compute stick: a usb-based development kit that runs embedded neural networks. With this stick users can run neural network and computer vision models on devices with low computational power. InfoQ reached out to Gary Brown, marketing director for Movidius, Intel New Technology Group, and asked him a few questions.
Facebook Transitioning to Neural Machine Translation
Facebook recently announced the global rollout of NMT. Switching from phrase based translation models to NMT has been rolled out for more than 2,000 translation directions and 4.5 billion translations per day. According to Facebook this provides an 11% increase in BLEU score. We will discuss how it was achieved, what it means for machine generated translation and how it fares against competition.
Google Announces Tensor2Tensor for TensorFlow
Google Brain team open-sourced Tensor2Tensor, a set of utilities and wrappers for modularizing TensorFlow workflow components to create a more portable, and repeatable environment for TensorFlow-based deep neural network programs.
Q&A with Andrew Brust of Datameer Regarding Big Data's Role in AI
Rags Srinivas talks to Datameer's Andrew Brust about the larger role of Big Data in AI and how it's operationalized with SmartAI.
Overview of Changes in Tensorflow Version 1.3
Although it has only been a month since the release of version 1.2.1, there have been many changes to the software in version 1.3. Developers can find an extensive release report on the Github page of Tensorflow. This article will list the most important changes developers have to know about before and after upgrading to Tensorflow v1.3.
