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Amazon Announces MXNet as Deep Learning Framework of Choice at AWS

by Dylan Raithel on  Nov 29, 2016 1

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.

Logz.io Offers Machine Learning Based Log Analysis

by Hrishikesh Barua on  Nov 15, 2016

Logz.io offers a hosted service which performs intelligent log analysis by using machine learning to derive insights from human interactions with log data that includes discussions on tech forums and public code repositories.

Spark Summit EU Highlights: TensorFlow, Structured Streaming and GPU Hardware Acceleration

by Alexandre Rodrigues on  Nov 13, 2016

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

by Dylan Raithel on  Nov 08, 2016

Google details a graph streaming algorithm for constant runtime over large graphs of varying complexity space and predictor outputs.

Microsoft Releases Data Science Tools for Interactive Data Exploration and Modeling

by Srini Penchikala on  Nov 07, 2016

Microsoft recently released two new data science tools for interactive data exploration: modeling and reporting. These tools can be reused by data science teams with data specific tasks in their projects. The goal is to ensure consistency and completeness of data science tasks across different projects in the organization.

Google Machine Learning Models for Image Captioning Ported to TensorFlow and Open-Sourced

by Dylan Raithel on  Oct 28, 2016

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

by Dylan Raithel on  Oct 23, 2016

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

by Alex Giamas on  Oct 21, 2016

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

by Alex Giamas on  Sep 23, 2016

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

by Srini Penchikala on  Sep 13, 2016

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.

TensorFlow Learns Cucumber Selection and Classification

by Dylan Raithel on  Sep 08, 2016

Cucumber farmer with embedded systems engineering background teaches TensorFlow neural network to mimic his cucumber-farming family’s classification and selection skills for automation.

DeepMind AI Program Increases Google Data Center Cooling Power Usage Efficiency by 40%

by Dylan Raithel on  Jul 28, 2016

DeepMind Sensor data captured from Google data centers yield a 40% increase in data center power usage efficiency and an overall site-wide 15% power usage efficiency gain using an AI program similar to an earlier game-like program of theirs that had learned how to play Atari games.

Facebook Open-Sources Deep Learning Project Torchnet

by Dylan Raithel on  Jul 27, 2016 1

Facebook Artificial Intelligence Research laboratory open-sources the Torchnet project to package and optimize boiler plate deep learning code for reuse and plugin-ability.

Google Details New TensorFlow Optimized ASIC

by Dylan Raithel on  May 23, 2016

The machine learning and engineering communities weigh in on news of Google's new TensorFlow optimized processor, the TPU and possibly influence several industry leaders in the hardware space like Intel and Nvidia.

Open Sourcing Artificial Intelligence Research

by Jonathan Allen on  Apr 27, 2016

Today OpenAI, a non-profit artificial intelligence research company founded by InfoSys and Amazon Web Services, announced a beta for OpenAI Gym. Gym is a Python based toolkit for developing and comparing reinforcement learning (RL) algorithms offered under the MIT license.

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