InfoQ Homepage Deep Learning Content on InfoQ
-
Google Invests in Cognitive: Cloud Speech API Reaches General Availability
In a recent blog post, Google announced their Cloud Speech API has reached General Availability. The Cloud Speech API allows developers to include pre-trained machine learning models for cognitive tasks such as video, image and text analysis in addition to dynamic translation. The Cloud Speech API was launched, in open beta, last summer.
-
Emerging Technologies for the Enterprise Conference 2017: Day Two Recap
Day Two of the 12th annual Emerging Technologies for the Enterprise Conference was held in Philadelphia. This two-day event included keynotes by Blair MacIntyre (augmented reality pioneer) and Scott Hanselman (podcaster), and featured speakers Kyle Daigle (engineering manager at GitHub), Holden Karau (principal software engineer at IBM), and Karen Kinnear (JVM technical lead at Oracle).
-
Google Reveals Details of TensorFlow Processor Unit Architecture
Google's hardware engineering team that designed and developed the TensorFlow Processor Unit detailed the architecture and benchmarking experiment earlier this month. This is a follow up post on the initial announcement of the TPU from this time last year.
-
Using Deep Learning Technologies IBM Reaches a New Milestone in Speech Recognition
The research team at IBM recently announced they've reached a new industry record at 5.5%, using the SWITCHBOARD linguistic corpus. This brings us closer to what's considered to be the human error rate, 5.1%. They used deep learning technologies and acoustic models to accomplish this milestone.
-
TensorFlow 1.0 Released
Google recently announced TensorFlow version 1.0. Python API is now stable and experimental APIs for Java and Go have been added. XLA delivers significant performance increase. Keras can also be integrated with TensorFlow using a build-in module. tf.transform, tf.layers, tf.metrics, and tf.losses all add new features to the framework..
-
Deep Learning at Gilt
Deep Learning is a rapidly evolving subfield of Machine Learning originating from Neural Networks. Recent algorithmic advances and utilization of GPU parallelization have resulted in Deep Learning based algorithms mastering the game of Go as well as several practical applications. The fashion industry is one of the target sectors for Deep Learning. Gilt is using Deep Learning for real world apps
-
Android Things Brings TensorFlow-Based Machine Learning and Computer Vision to IoT Devices
Recently released Developer Preview 2 (DP2) for Android Things makes it easier to use TensorFlow for machine learning and computer vision on IoT devices. Additionally, it extends USB audio for several IoT platforms, adds Intel Joule support, and enables direct use of native drivers through a new Native PIO API.
-
Amazon Announces MXNet as Deep Learning Framework of Choice at AWS
Amazon's Werner Vogels announces MXNet as the deep learning toolkit of choice for internal adoption, and extends AWS commitment to open-source MXNet ecosystem development.
-
Spark Summit EU Highlights: TensorFlow, Structured Streaming and GPU Hardware Acceleration
Apache Spark integration with deep learning library TensorFlow, online learning using Structured Streaming and GPU hardware acceleration were the highlights of Spark Summit EU 2016 held last week in Brussels.
-
Google Details Allo Recommendation Graph Processing Algorithm
Google details a graph streaming algorithm for constant runtime over large graphs of varying complexity space and predictor outputs.
-
Google Machine Learning Models for Image Captioning Ported to TensorFlow and Open-Sourced
As TensorFlow becomes more widely adopted in the machine learning and data science domains, existing machine learning models and engines are being ported from existing frameworks to TensorFlow for improved performance, furthering the adoption and success of the open-sourced project.
-
Ocado Uses TensorFlow and Google Cloud Platform for Novel Customer Service Approach
Ocado Technology uses TensorFlow to categorize customer emails for automated support queue categorization and prioritization for the goals of quick response time and avoiding impersonal support bots often used with large customer volumes and finite support resources.
-
CommAI, a Training and Testing AI System by Facebook
Facebook recently announced CommAI-env, a platform for training and evaluating an AI system. Inspired by A roadmap towards Machine Intelligence the system aims for teaching intelligent agents general learning capabilities that would serve as the groundwork for further, more specialized training by human or machine level interaction. The article provides a high level overview of current state and..
-
How YouTube's Recommendation Algorithm Works
In a recent paper published by Google, YouTube engineers analyzed in greater detail the inner workings of YouTube’s recommendation algorithm. The paper was presented on the 10th ACM Conference on Recommender Systems last week in Boston. In this news item we analyze how YouTube uses deep learning to operate one of the largest and most complex recommendation systems in industry.
-
IBM Creates Artificial Neurons from Phase Change Memory for Cognitive Computing
A team of scientists at IBM Research in Zurich, have created an artificial version of neurons using phase-change materials to store and process data. These phase change based artificial neurons can be used to detect patterns and discover correlations in Big Data (real-time streams of event based data) and unsupervised machine learning at high speeds using very little energy.