Google Brings Machine Learning to Firebase with ML KIT
Google recently introduced ML KIT, a machine-learning module fully integrated in its Firebase mobile development platform and available for both iOS and Android. With this new Firebase module, Google simplifies the creation of machine-learning powered applications on mobile phones and solves some of the challenges of implementing computationally intense features on mobile devices.
Propel Shifts Plans to Leverage TensorFlow.js
The Propel JavaScript scientific computing and machine learning library has announced a change in the project's direction. Just a few weeks after Propel's initial launch in March 2018, TensorFlow.js announced its release. Propel's initial efforts extended deeplearn.js and the C implementation of TensorFlow. Tensorflow.js is an evolution of deeplearn.js.
Build 2018: .NET Overview & Roadmap
At Microsoft Build 2018, Scott Hunter, director program management, .NET and Scott Hanselman, director community, .NET gave a session on the future of .NET. The thrust of the presentation was that .NET can be the platform for building any kind of application: desktop, web, cloud, mobile, gaming, IoT or AI. Your existing language skills are not wasted and can be used in new areas.
What’s New in Azure Machine Learning?
Matt Winkler delivered a talk at Microsoft Build 2018 explaining what is new in Azure Machine Learning. The new improvements come in several areas: making development easier, single container deployment to make the dev/test loop faster, using the SDK from the Azure Notebook for control, as well as helping people get started solving a particular problem.
Tensorflow with Javascript Brings Deep Learning to the Browser
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.
Dataiku's Latest Release Integrates Deep-Learning for Computer Vision
Collaborative data science platform Dataiku's latest release of its Data Science Studio includes pre-trained deep learning models for image processing. The DSS platform implements each step of a data-science project from data-sourcing and visualization to production deployment. Its machine-learning module supports standard libraries and it integrates with Hadoop and multiple Spark engines.
Baidu Release Huge Dataset "ApolloScape" for Autonomous Vehicle Research
Baidu, the Chinese internet giant, has released ApolloScape, a massive data-set for autonomous vehicle simulation and research. ApolloScape is an order of magnitude more complex than similar open data-sets. It is part of Apollo, Baidu's vehicle simulation and hardware platform. With this release, Baidu strengthens its position in the automated driving sector.
Fighting Financial Fraud with Machine Learning at Airbnb
Airbnb, the online marketplace that matches people who rent out their homes with people who are looking for a place to stay, uses machine learning (ML) techniques to fight financial fraud. They use targeted friction to battle the chargebacks while minimizing impact to good guests using their online reservation system.
First Pedestrian Killed by Self-Driving Car
A pedestrian was killed on Sunday evening in Tempe, Arizona, by a self-driving car operated by Uber, the BBC reports. The firm confirmed that the vehicle was traveling in autonomous mode with a safety driver, the only vehicle occupant, behind the wheel during the crash.
Microsoft Embeds Artificial Intelligence Platform in Windows 10 Update
The next Windows 10 update opens the way for the integration of artificial intelligence functionalities within Windows applications. Developers will be able to integrate pre-trained deep-learning models converted to the ONNX framework in their Windows applications.
Microsoft Achieves Human Parity on Chinese-English Machine Translation
Microsoft created a translation algorithm that translates Chinese sentences to English as well as human translators do. Translating Chinese sentences into English has been difficult in the past. Thanks to neural machine translation, a technique that created amazing results in the last couple of years, Microsoft got their machine translated sentences on par with human translated sentences.
Facebook Releases Open Source "Detectron" Deep-Learning Library for Object Detection
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.
Demystifying Machine Learning for Development Teams and Children
Rob Harrop's QCon London keynote, titled AI and ML for Software Engineers, spoke of how ML often sits behind a siloed wall between dev and data science teams. Developers are often jarred from being able to develop their own competence due to the aura of mysticism around ML. Dale Lane of IBM spoke in the sponsor stream of how he's been demystifying and making ML accessible to children.
UK Supermarket Launches Machine Learning Sommelier
The UK arm of German supermarket company Lidl has launched a Facebook Messenger-based chatbot, designed to help customers choose the right wine to compliment their food or occasion.The chatbot, named Margot, uses a unique approach to NLU and can interact with shoppers to provide answers to frequently asked questions, pairing wines with food, finding a wine and taking a quiz.
Google Cloud TPU for Machine Learning Acceleration is Now Available in Beta
Google has made their custom chips, Tensor Processing Units (TPU) for running machine learning workloads written for its TensorFlow framework, available in beta for Machine Learning (ML) experts and developers. With Google’s Cloud TPU’s, ML models can run on demand at lower costs and higher performance.
