Pymetrics Open-Sources Fairness-Aware Machine Learning Algorithms
Pymetrics, an AI start-up that specializes in providing recruitment services for organizations, has recently open-sourced their bias detection algorithms on Github. The tool, also known as Audit AI, is used to mitigate discriminatory patterns that exist within training data sets which influence or improve the probability of a population being selected by a machine learning algorithm.
A Team's Transformation from Software Development to ML: Golestan Radwan at QCon NY
As companies start to add Big Data and Machine Learning initiatives to their project portfolios, they face several challenges including the teams' transition from software engineering to data engineering and machine learning. Golestan "Sally" Radwan spoke at QCon New York 2018 Conference about her experience in leading a traditional software engineering team on a machine learning/AI journey.
Electric Cloud Launches Predictive Analytics for DevOps
ElectricFlow DevOps Foresight uses deep learning to identify patterns in release pipelines, gauge the likelihood of software release success and make recommendations in order to incrementally improve pipeline performance and application quality.
Google Has Released Android P Beta 2
Google has released Android P Beta 2. Android P Beta 2 includes the final Android P APIs, latest system images, display cutout support, and more.
Apple Has Released Core ML 2
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.
Testing Software with Artificial Intelligence
Advances in computer vision algorithms and the application of modern artificial intelligence (AI) techniques have made writing visual tests practical. With AI in testing, autonomous testing becomes possible. The boring and rote tasks will be delegated to the AI so that the tester can do the thinking.
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.
Major Automakers Aim to Bring Blockchain to Cars
Launched by four of some of the major automakers worldwide and a number of other companies, the Mobility Open Blockchain Initiative (MOBI) focuses on speeding up Blockchain adoption for mobility applications, from payments to ride-sharing and autonomous vehicles.
Q&A on IBM's Fabric for Deep Learning with Chief Architect of Watson
InfoQ caught up with Ruchir Puri, chief architect of Watson, regarding the Fabric for Deep Learning (FfDL).
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.
How Booking.com Uses Kubernetes for Machine Learning
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.
