InfoQ Homepage Machine Learning Content on InfoQ
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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.
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OpenAI Approximates Scaling Laws for Neural Language Models
Artificial intelligence company OpenAI studies empirical scaling laws for language models using cross entropy loss to determine the optimal allocation of a fixed compute budget.
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ExBERT, a Tool for Exploring Learned Representations in NLP Models
MIT-IBM AI Labs and Harvard NLP Group have released a live demo of their interactive visualization tool for exploring learned representations in Transformers models called exBERT, along with a pre-publication and the source-code.
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Amazon Announces General Availability of AWS Deepcomposer
Recently, Amazon announced the general availability of Deepcomposer, a service in AWS, which provides developers with a creative way to learn Machine Learning (ML). Deepcomposer is a machine learning-enabled keyboard for developers, and is available for purchase.
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COVID-19 and AI: Virtual Conference at Stanford Discusses the Future
The Stanford Institute For Human-Centered Artificial Intelligence approaches COVID-19 from a wide variety of perspectives.