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Microsoft Announces AI-Assisted IntelliCode for TypeScript and JavaScript in VS Code

by Dylan Schiemann Follow 13 Followers on  Dec 10, 2018

Beyond the typical IntelliSense or code completion developers have come to appreciate, earlier this year Microsoft announced IntelliCode, a set of capabilities that provide AI-assisted development. The VS Code team has now announced a new experimental extension to bring IntelliCode to TypeScript and JavaScript users.

JavaScript Follow 481 Followers

TensorSpace.js Delivers Neural Network 3D Visualization Framework

by Dylan Schiemann Follow 13 Followers on  Dec 06, 2018

TensorSpace.js provides an open source browser-based neural network data visualization framework to complement the growing machine learning landscape by supporting pre-trained models created with TensorFlow.js, Keras, or TensorFlow.

AI, ML & Data Engineering Follow 1112 Followers

Azure Machine Learning Services Now Generally Available

by Michael Stiefel Follow 6 Followers on  Dec 05, 2018

Microsoft has announced the general availability of the Azure Machine Learning service. Azure Machine Learning automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019.

AI, ML & Data Engineering Follow 1112 Followers San Francisco 2019: AI & ML Conference Focused on Software Engineers Announces Tracks

by Wesley Reisz Follow 22 Followers on  Dec 05, 2018, the first conference from the people behind QCon and InfoQ focused solely on artificial intelligence and machine learning for the software engineer, announces the tracks for the 2019 conference.

AI, ML & Data Engineering Follow 1112 Followers

AWS Marketplace Offers Machine Learning Algorithms and Model Packages

by Srini Penchikala Follow 41 Followers on  Dec 03, 2018

Amazon Web Services is offering machine learning algorithms and model packages on their AWS Marketplace. This was announced at AWS re:Invent Conference last week.

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Recap of AWS re:Invent 2018 Announcements

by Richard Seroter Follow 8 Followers on  Nov 30, 2018 2

If you thought Amazon Web Services (AWS) might run out of services to launch, this year's re:Invent put that fear to rest. At the recently concluded event, AWS shared a flurry of announcements across a range of categories. re:Invent rarely has a "theme" for its announcements. But there was heavy attention on machine learning, databases, hybrid cloud, and account management.

AI, ML & Data Engineering Follow 1112 Followers

Sony Trains ResNet-50 on ImageNet in 224 Seconds

by Roland Meertens Follow 8 Followers on  Nov 28, 2018

Researchers from Sony announced that they trained a ResNet 50 architecture on ImageNet in only 224 seconds.  The resulting network has a top-1 accuracy of 75% on the validation set of ImageNet. They achieved this record by using 2.100 Tesla V100 Tensor Core GPUs from NVIDIA. Besides this record, they also got a 90% GPU scaling efficiency using 1.088 Tesla V100 Tensor Core GPUs. 

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Google Introduces AI Hub and Kubeflow Pipelines for Easier ML Deployment

by Steef-Jan Wiggers Follow 10 Followers on  Nov 27, 2018

Google is launching two new tools, one proprietary and one open source: AI Hub and Kubeflow pipelines. Both are designed to assist data scientists design, launch and keep track of their machine learning algorithms.

Emerging Technologies Follow 100 Followers

Google Open-Sources Speaker Diarization AI Technology, Claims 92% Accuracy

by Kent Weare Follow 11 Followers on  Nov 25, 2018

In a recent blog post, Google announced they have open-sourced their speaker diarization technology, which is able to differentiate people’s voices at a high accuracy rate. Google is able to do this by partitioning an audio stream that includes multiple participants into homogeneous segments per participant.

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Google Open-Sources BERT: A Natural Language Processing Training Technique

by Kent Weare Follow 11 Followers on  Nov 21, 2018

In a recent blog post, Google announced they have open-sourced BERT, their state-of-the-art training technique for Natural Language Processing (NLP) . Google has decided to do this, in part, due to a lack of public data sets that are available to developers. In addition, optimizations have been made to Cloud TPUs to reduce the amount of time required for training NLP.

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Facebook Releases PyTorch 1.0 Preview, with Google, AWS and Microsoft Azure Integrations

by Kent Weare Follow 11 Followers on  Nov 17, 2018

At a recent PyTorch developer conference in San Francisco, Facebook released a developer preview version of PyTorch 1.0. PyTorch is an open source, deep learning framework used to reduce friction in taking research projects to production. In this release, many investments have been made by public cloud and hardware companies to better support the PyTorch ecosystem.

JavaScript Follow 481 Followers

Face-api.js: JavaScript Face Recognition Leveraging TensorFlow.js

by Diogo Carleto Follow 46 Followers on  Nov 12, 2018

Face-api.js is a JavaScript API for face detection and face recognition in the browser implemented on top of the tensorflow.js core API, which implements a series of convolutional neural networks (CNNs), optimized for the web and for mobile devices.

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New Updates to Firebase: Enterprise-Grade Support, ML Kit Face Contours, Management API, and More

by Steef-Jan Wiggers Follow 10 Followers on  Nov 07, 2018

Firebase is a service available on the Google infrastructure, enabling developers to build apps for Android, iOS, and the web. Recently, Google updated Firebase with paid enterprise-grade support, ML Kit Face Contours, a Firebase Management API, Test Lab for iOS, Performance Monitoring improvements, and Firebase Predictions.

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Introducing EmoPy: An Open Source Toolkit for Facial Expression Recognition

by Kent Weare Follow 11 Followers on  Oct 31, 2018

In a recent blog post, Angelica Perez shared information about a new open source project for an interactive film experience. The project is called EmoPy and focuses on Facial Expression Recognition (FER) by providing a toolkit that allows developers to accurately predict emotions based upon images passed to the service.

AI, ML & Data Engineering Follow 1112 Followers

NVIDIA Announces RAPIDS, Medical Image Application, and a Driving Simulator for Autonomous Vehicles.

by Roland Meertens Follow 8 Followers on  Oct 10, 2018

Today Jensen Huang, CEO of NVIDIA, gave a keynote at the GPU Technology Conference 2018 in Munich. He announced RAPIDS, an open-source CUDA accelerated toolkit that can help data scientists to faster process their data. They announced a partnership to work on medical imaging. They announced a self-driving car simulator that car manufacturers can use for verification of autonomous vehicles.