InfoQ Homepage Machine Learning Content on InfoQ
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AWS Releases Amazon Fraud Detector into General Availability
Amazon Fraud Detector is a fully-managed service on AWS providing customers with the capability to quickly identify potentially fraudulent online activities, such as the creation of fake accounts, loyalty account and promotion code abuse or online payment fraud. The service uses machine learning (ML) and relies on two decades of fraud detection expertise from AWS and Amazon.com.
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Alexa Adds Conversations and Deep-Linking Based Control for Mobile Apps
Alexa Conversations, recently launched in beta, aim to enable the creation of custom skills with fewer code thanks to a new AI-based approach. Alongside Alexa Conversations, Amazon has also announced Alexa for Apps, which allows Alexa users to interact with their mobile phones using Alexa.
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Accelerating Machine Learning Lifecycle with a Feature Store
Feature Store is a core part of next generation ML platforms that empowers data scientists to accelerate the delivery of ML applications. Mike Del Balso and Geoff Sims recently spoke at Spark AI Summit 2020 Conference about the feature store driven ML development.
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Google Launches the First NVIDIA Ampere A100 GPUs in the Cloud with Computing Engine A2 VMs
In a recent blog post, Google announced the introduction of the Accelerator-Optimized VM (A2) family on Google Compute Engine, based on the NVIDIA Ampere A100 Tensor Core GPU. A2 provides up to 16 GPUs in a single VM and is the first A100-based offering in the public cloud.
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AWS Announces General Availability of Amazon CodeGuru
Recently, AWS announced the general availability of Amazon CodeGuru, a developer tool powered by machine learning. It provides intelligent recommendations for improving code quality and identifying an application's most expensive lines of code.
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Databricks Contributes MLflow Machine Learning Platform to The Linux Foundation
Databricks, the company behind big data processing and analytics engine Apache Spark, contributes open source machine learning platform MLflow to The Linux Foundation. The announcement was made at the recent Spark AI Summit 2020 Conference which was held as a global virtual event.
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Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance
At the recent Spark AI Summit 2020, held online for the first time, the highlights of the event were innovations to improve Apache Spark 3.0 performance, including optimizations for Spark SQL, and GPU acceleration.
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Paddle Quantum: Bringing Baidu Deep Learning Perform to Quantum Computing
Baidu has announced quantum machine learning toolkit Paddle Quantum, which makes it possible to build and train quantum neural network models. Paddle Quantum aims to support advanced quantum computing applications as well as to allow developers new to quantum machine learning to create their models step-by-step.
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AWS Releases its Machine Learning Powered Enterprise Search Service Kendra into General Availability
Recently Amazon announced the general availability of its enterprise search service Kendra on AWS. With the GA release of Amazon Kendra, the public cloud provider added a few new specialized features and improved service accuracy.
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Concurnas: the New Language on the JVM for Concurrent and GPU Computing
Concurnas is a new open source JVM programming language designed for building concurrent and distributed systems. Concurnas is a statically typed language with object oriented, functional, and reactive programming constructs. With native support for GPU computing and vectorization, Concurnas allows for building machine learning applications and high performance parallel applications.
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Google AI Launches NLU-Powered Tool to Help Explore COVID-19 Literature
Google AI launched COVID-19 Research Explorer, which provides a semantic search interface on top of the COVID-19 Open Research Dataset to help scientists and researchers efficiently analyze all of the dataset’s journal articles and preprints.
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Predicting Failing Tests with Machine Learning
Machine learning can be used to predict how tests behave on changes in the code. These predictions reduce the feedback time to developers by providing information at check-in time. Marco Achtziger & Dr. Gregor Endler presented how they are using machine learning to learn from failures at OOP 2020.
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Moogsoft Adds Virtual Network Operations Centre Capability
AIOps platform vendor, Moogsoft, has announced the release of Moogsoft Enterprise 8.0, featuring a capability for technology teams to build a virtual Network Operations Centre (NOC). Moogsoft Enterprise consolidates monitoring tools with the intention of helping technology teams reduce noise, prioritize incidents, reduce escalations and ensure uptime.
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Google Cloud Healthcare API Now Generally Available
In a recent blog post, Google announced the general availability of its Cloud Healthcare API. This service facilitates the exchange of healthcare data between solutions built on Google Cloud Platform (GCP) and applications.
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OpenAI Introduces Microscope, Visualizations for Understanding Neural Networks
OpenAI has released Microscope, a collection of visualizations of every significant layer and neuron of eight leading computer vision (CV) models which are often studied in interpretability. The tool helps researchers analyze the features and other important attributes which form inside of the neural networks powering these CV models.