InfoQ Homepage Machine Learning Content on InfoQ
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DataOps and Operations-Centric Data Architecture
Eric Estabrooks from DataKitchen spoke at this year's Data Architecture Summit 2019 Conference about how DevOps tasks should be managed for data architecture. DataOps is a collaborative data management practice and is emerging as an area of interest in the industry.
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Machine Learning on Mobile and Edge Devices with TensorFlow Lite: Daniel Situnayake at QCon SF
At QCon SF, Daniel Situnayake presented "Machine learning on mobile and edge devices with TensorFlow Lite". TensorFlow Lite is a production-ready, cross-platform framework for deploying ML on mobile devices and embedded systems, and was the main topic of the presentation.
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Microsoft Announces Azure Synapse for Data Warehousing and Analytics
During Microsoft's annual Ignite conference the company announced a new analytics service called Azure Synapse. The service, which is a continuation of Azure SQL Data Warehouse, focuses on bringing enterprise data warehousing and big data analytics into a single service.
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logz.io Releases Feature to Automatically Identify Patterns within Log Data
logz.io released a new feature to help identify recurring patterns within log data. This new feature, entitled Log Patterns, automatically analyzes millions of log messages in real-time to reduce the volume of logs and potentially reveal common trends. This feature is their third feature to provide automated interpretation and filtering of log messages under the label of AIOps.
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Dropbox Predicts What File You Need Next with Content-Specific ML Pipelines
The Dropbox machine learning team shared how the company improved the model behind their content suggestions feature. The enhancements allow Dropbox to deal with different types of content, incorporate folder suggestions into the existing file suggestions model and handle cloud-based documents resulting from relatively recent partnerships.
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Google Applies NLP Algorithm BERT to Search
BERT, Google's latest NLP algorithm, will power Google search and make it better at understanding user queries in a way more similar to how humans would understand them, writes Pandu Nayak, Google fellow and vice president for Search, with one in 10 queries providing a different set of results.
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Google Introduces TensorFlow Enterprise in Beta
In a recent blog post, Google announced TensorFlow Enterprise, a cloud-based TensorFlow machine learning service that includes enterprise-grade support and managed services.
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PyTorch and TensorFlow: Which ML Framework is More Popular in Academia and Industry
An article that was recently published on the gradient is examining the current state of Machine Learning frameworks in 2019. The article is utilizing some metrics to argue the point that PyTorch is quickly becoming the dominant framework for research, whereas TensorFlow is the dominant framework for applications in the industry. In this article we will dive into their differences.
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Microsoft Releases Azure API for Fast Healthcare Interoperability Resource (FHIR) as GA
In a recent blog post, Microsoft announced the general availability of the Azure API for Fast Healthcare Interoperability Resource (FHIR), making it the first cloud vendor providing native support for this format in a managed cloud service. With the API, customers can quickly ingest, persist, and manage healthcare data in the cloud.
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Amazon Releases the Anomaly Detection Feature for CloudWatch to General Availability
Recently, Amazon announced the general availability of the Anomaly Detection feature in Amazon CloudWatch, a monitoring and management service providing customers data and insights from AWS, hybrid, and on-premises applications and infrastructure resources.
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Google Announces Updates to AutoML Vision Edge, AutoML Video, and the Video Intelligence API
In a recent blog post, Google announced enhancements to a part of its Vision AI portfolio: AutoML Vision Edge, AutoML Video, and the Video Intelligence API. Each received updates to enhance their capabilities.
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Rasa Developer Summit: Production Grade AI Assistants
Rasa, an open source framework that provides machine learning tools to build and deploy contextual AI assistants, recently held its developer summit in San Francisco. The speakers at the summit shared interesting enterprise case studies on using Rasa to build AI assistants. "Our primary goal for the Rasa Developer Summit was to build community," said Alex Weidauer, CEO & co-founder of Rasa.
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QCon San Francisco Learning Paths: Practical and Intensive AI/ML Two-Day Training
To help develop your artificial intelligence (AI) and machine learning (ML) knowledge and skills, the team behind InfoQ and QCon Conferences has launched the AI and ML Learning Paths. These practical and intensive two-day focused sessions are designed to help you understand and use Machine Learning by writing and executing code, instead of listening to passive lectures.
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Databricks' Unified Analytics Platform Supports AutoML Toolkit
Databricks recently announced the Unified Data Analytics Platform, including an automated machine learning tool called AutoML Toolkit. The toolkit can be used to automate various steps of the data science workflow.
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Google Research Use of Concept Vectors for Image Search
Google recently released research about creating a tool for searching Similar Medical Images Like Yours (SMILY). The research uses embeddings for image-based search and allows users to influence the search through the interactive refinement of concepts.