Tags: tensorflow


edge computing
The recent port of TensorFlow to the Raspberry Pi is the latest in a series of chess moves from Google and its chief AI rival Nvidia to win the hearts and keyboards of embedded Linux developers.

TensorFlow Pi Port Is Strategic Move in Edge Analytics Game

Google’s recent announcement that it had ported its open source TensorFlow machine intelligence (ML) library for neural networking to the Raspberry Pi was the latest in a series of chess moves from Google and its chief AI rival Nvidia to win the hearts and keyboards of embedded Linux developers....
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open source AI
Read about three open source AI projects aimed at simplifying access to AI tools and insights.

Open Source AI For Everyone: Three Projects to Know

At the intersection of open source and artificial intelligence, innovation is flourishing, and companies ranging from Google to Facebook to IBM are open sourcing AI and machine learning tools. According to research from IT Intelligence Markets, the global artificial intelligence software market is...
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Top 5 Open-Source Frameworks for AI Development

Artificial Intelligence (AI) and Machine Learning (ML) are the two terms that are trending these days and sometimes even used interchangeably. However, both the terms are not the same. While AI involves machines that can perform tasks that are characteristic of human intelligence, ML enables modern...
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If Machine Learning Is the Question, Open Source Is the Answer

In the early days of Linux, for example, the director of IBM’s Linux Technology Center told me that for open source to be successful, you had to have a sufficient body of developers with aptitude and interest in a given area. Every developer needs an operating system, for example, so there tends to...
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Open Source AI
Both Google and Microsoft are drawing benefits from open sourcing their artificial intelligence tools, as community development makes the tools stronger.

Open Source AI Solutions Evolve through Community Development

Tech titans ranging from Google to Facebook have been steadily open sourcing powerful artificial intelligence and deep learning tools, and now Microsoft is out with version 2.0 of the Microsoft Cognitive Toolkit. It’s an open source software framework previously dubbed CNTK, and it competes with...
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Google Open-Sources Mobile-First Computer Vision Models for TensorFlow

Google is helping smartphones better recognize images without requiring massive power consumption, thanks to a new set of models the company released today. Called MobileNets, the pre-trained image recognition models let developers pick between a set of models that vary in size and accuracy to best...
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AI frontier
At leading companies in the technology sector, AI is a huge priority, and many of these companies are open sourcing important tools.

Open Source and the Artificial Intelligence Frontier

The open source arena continues to rapidly converge with the field of artificial intelligence (AI). Not only are technology industry titans contributing meaningful tools to the community, but international players and billionaires are making contributions. Meanwhile, some of our smartest people are...
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Google Reveals a Powerful New AI Chip and Supercomputer

At the company’s annual developer conference today, CEO Sundar Pichai announced a new computer processor designed to perform the kind of machine learning that has taken the industry by storm in recent years (see “10 Breakthrough Technologies: Deep Learning”). The announcement reflects how rapidly...
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How the TensorFlow Team Handles Open Source Support

Open-sourcing is more than throwing code over the wall and hoping somebody uses it. I knew this in theory, but being part of the TensorFlow team at Google has opened my eyes to how many different elements you need to build a community around a piece of software. Community service When a new project...
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How to Do Time Series Prediction Using RNNs, TensorFlow, and Cloud ML Engine

The Estimators API in tf.contrib.learn (See tutorial here) is a very convenient way to get started using TensorFlow. The really cool thing from my perspective about the Estimators API is that using it is a very easy way to create distributed TensorFlow models. Many of the TensorFlow samples that...
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