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AI, ML & Data Engineering Follow 869 Followers

Apple Has Released Core ML 2

by Roland Meertens Follow 7 Followers on  Jun 07, 2018

At WWDC Apple released Core ML 2: a new version of their machine learning SDK for iOS devices. The new release of Core ML should create an inference time speedup of 30% for apps developed using Core ML 2. An important new feature of the Core ML SDK is Create ML. Developers can create and train custom machine learning models on their mac.

AI, ML & Data Engineering Follow 869 Followers

Tensorflow with Javascript Brings Deep Learning to the Browser

by Alexis Perrier Follow 1 Followers on  Apr 18, 2018

Google launched Tensorflow.js, a Javascript implementation of its open-source Tensorflow deep-learning framework during the recent TensorFlow Dev Summit 2018. Tensorflow.js enables training models directly in the browser by leveraging the WebGL JavaScript API for faster computations.

DevOps Follow 818 Followers

How Booking.com Uses Kubernetes for Machine Learning

by Manuel Pais Follow 9 Followers on  Apr 01, 2018

Sahil Dua explained how Booking.com was able to scale machine learning (ML) models for recommending destinations and accommodation to their customers using Kubernetes, at the QCon London conference. In particular, he stressed how Kubernetes elasticity and resource starvation avoidance on containers helps them run computationally (and data) intensive, hard to parallelize, machine learning models.

AI, ML & Data Engineering Follow 869 Followers

Facebook Releases Open Source "Detectron" Deep-Learning Library for Object Detection

by Alexis Perrier Follow 1 Followers on  Mar 13, 2018

Recent releases from Facebook and Google implement the most current deep-learning algorithms to take a crack at the challenging problem of machine object detection.

AI, ML & Data Engineering Follow 869 Followers

Q&A on Machine Learning and Kubernetes with David Aronchick of Google from Kubecon 2017

by Rags Srinivas Follow 11 Followers on  Jan 24, 2018

InfoQ caught up with David Aronchick, product manager at Google and contributor to Kubeflow about the synergy between Kubernetes and Machine Learning at Kubecon 2017.

AI, ML & Data Engineering Follow 869 Followers

Machine Learning and Artificial Intelligence - Two Conferences to Attend in 2018

by Wesley Reisz Follow 17 Followers on  Jan 19, 2018

The IEEE publishes an annual list of the Top 10 Technology Trends for each upcoming year. Making the list for 2018 are multiple topics surrounding artificial intelligence and machine learning. Deep learning comes in as the IEEE hottest trend for 2018.

AI, ML & Data Engineering Follow 869 Followers

Modern Big Data Pipelines over Kubernetes

by Srini Penchikala Follow 35 Followers on  Jan 08, 2018

Container management technologies like Kubernetes make it possible to implement modern big data pipelines. Eliran Bivas, senior big data architect at Iguazio, spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about big data pipelines and how Kubernetes can help develop them.

AI, ML & Data Engineering Follow 869 Followers

Building GPU Accelerated Workflows with TensorFlow and Kubernetes

by Srini Penchikala Follow 35 Followers on  Jan 04, 2018

Daniel Whitenack spoke at the recent KubeCon + CloudNativeCon North America 2017 Conference about GPU based deep learning workflows using TensorFlow and Kubernetes technologies. He discussed the open source data pipeline framework Pachyderm.

AI, ML & Data Engineering Follow 869 Followers

TensorFlow Lite Supports On-Device Conversational Modeling

by Srini Penchikala Follow 35 Followers on  Nov 29, 2017

TensorFlow Lite, the light-weight solution of open source deep learning framework TensorFlow, supports on-device conversation modeling to plugin the conversational intelligence features into chat applications. The TensorFlow team recently announced the release of TensorFlow Lite, which can be used in mobile and embedded devices.

AI, ML & Data Engineering Follow 869 Followers

TensorFlow Serving 1.0 Release Detailed at Google I/O

by Dylan Raithel Follow 9 Followers on  Sep 19, 2017

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.

AI, ML & Data Engineering Follow 869 Followers

Google Announces Tensor2Tensor for TensorFlow

by Dylan Raithel Follow 9 Followers on  Aug 08, 2017

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.

Development Follow 605 Followers

Overview of Changes in Tensorflow Version 1.3

by Roland Meertens Follow 7 Followers on  Jul 31, 2017 5

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.

AI, ML & Data Engineering Follow 869 Followers

Google Released Facets: A Visualisation Tool for Big Data

by Roland Meertens Follow 7 Followers on  Jul 19, 2017

Google open-sourced Facets: a data visualisation tool to explore data for machine learning scientists. Facets aim is to make big data set understandable and interpretable. Facets wants to be the visualisation tool researchers use to find nuances and insights in large data sets.

AI, ML & Data Engineering Follow 869 Followers

Second-Generation TPU Offers Both Training and Model Serving, Free Research Tier on GCP

by Dylan Raithel Follow 9 Followers on  Jun 17, 2017

Google introduces the second-generation TPU at Google I/O and releases photos leading to much speculation about the new architecture. GCP offers a research-tier and an alpha release application process for access to a 1000 TPU cluster for free.

AI, ML & Data Engineering Follow 869 Followers

Google Released MobileNets: Efficient Pre-Trained Tensorflow Computer Vision Models

by Roland Meertens Follow 7 Followers on  Jun 16, 2017

Google released several pre-trained computer vision models for mobile phones in the Tensorflow Github repository. Developers can choose from several models that differ in amount of parameters, computations for processing one image, and accuracy. Developers can trade accuracy for battery power for their specific application.

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