BT

Microsoft Project Oxford Aims to Bring Intelligence to Apps

by Sergio De Simone on  May 12, 2015

Under the name of Project Oxford, Microsoft has made available a set of RESTful APIs that aim to make it possible for developers to build apps that feature face recognition, speech processing, and other machine learning algorithms. Part of the Azure portfolio, the new APIs are currently in beta and free to use up to 5,000 call per month.

Facebook Open Sources Modules for Faster Deep Learning on Torch

by Abel Avram on  Jan 20, 2015

Facebook has open sourced a number of modules for faster training of neural networks on Torch.

Google on the Technical Debt of Machine Learning

by Mikio Braun on  Jan 15, 2015

A number of Google researchers and engineers presented their view on the technical debt of using machine learning at a NIPS workshop. They identified different aspects of technical debt and came to the conclusion that without proper care, using machine learning or complex data analysis in your company can induce new kinds of technical debt different from classical software engineering.

Google Uses Machine Learning to Simplify CAPTCHA

by Abel Avram on  Dec 03, 2014

Google has announced a new CAPTCHA API which provides a No CAPTHA experience for most users.

Web Summit 2014 Day One Review

by Alex Giamas on  Nov 04, 2014

Web Summit, one of the largest technology conferences in Europe opened up today. Famous people from the technology and business world are expected to talk, like Peter Thiel, Drew Houston and Anna Patterson.

Microsoft Expands Azure Machine Learning and Real Time Analytics Offering

by Alex Giamas on  Oct 31, 2014

Microsoft recently announced new machine learning capabilities for Microsoft Azure platform. Developers can also create their own web services and publish them to Azure Marketplace. Microsoft also announced availability of Apache Storm for Azure. Azure Stream Analytics, Data Factory and Event Hubs for Azure were all announced in the past few weeks by Microsoft. In this article we explore moreabout

LinkedIn and Twitter Contribute Machine Learning Libraries to Open Source

by Alex Giamas on  Oct 24, 2014

Twitter’s engineering group, known for various contributions to open source from streaming MapReduce to front-end framework Bootstrap recently announced open sourcing an algorithm that can efficiently recommend content. LinkedIn also open sourced a Machine Learning library of its own, ml-ease. In this article we present the algorithms and what they mean for the open source community.

Nvidia Introduces cuDNN, a CUDA-based library for Deep Neural Networks

by Jérôme Serrano on  Sep 29, 2014

Nvidia earlier this month released cuDNN, a set of optimized low-level primitives to boost the processing speed of deep neural networks (DNN) on CUDA compatible GPUs. The company intends to help developers harness the power of graphics processing units for deep learning applications.

Microsoft Launching Azure Machine Learning as a Service

by Alex Giamas on  Sep 16, 2014

Microsoft recently announced Azure ML, a machine learning cloud based platform that helps predict future events based on past performance. Microsoft has been using machine learning for years for Bing, Xbox and other products but this is the first time that internal technologies are consumerized and deployed as cloud services. Ersatz Labs is also trying to build a PaaS for Machine Learning.

Domino: Datascience-as-a-Service

by Michael Hausenblas on  Mar 11, 2014

Domino, a Platform-as-a-Service for data science, enables people to do analytical work using languages such as Python or R in the cloud (EC2).

Spark Officially Graduates From Apache Incubator

by Alex Giamas on  Feb 28, 2014

Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.

New Education Opportunities for Data Scientists

by Charles Menguy on  Jan 14, 2014

2013 has been rich in announcements for new programs, degrees and grants for aspiring data scientists and Big Data practitioners.

An Introduction to Neural Networks Using C#

by Jeff Martin on  Jul 09, 2013 1

Neural networks have long been an interesting field of research for exploring concepts in machine learning (otherwise known as artificial intelligence). Dr James McCaffrey of Microsoft Research recently gave an introduction to neural networks for those looking to learn more about them in an engaging talk that includes working demo code.

Concurrent Releases Pattern, a Machine Learning DSL for Hadoop

by Boris Lublinsky on  May 20, 2013

Concurrent, Inc., the enterprise Big Data application platform company, today announced Pattern, a machine learning based on an industry standard called PMML which allows analytics frameworks such as SAS, R, Microstrategy, Oracle, etc., to export predictive models and run them on Hadoop clusters

Trends in the latest Technology Radar

by Aslan Brooke on  Jan 18, 2013 8

ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2015 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT