InfoQ Homepage Machine Learning Content on InfoQ
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Deep Java Library: New Deep Learning Toolkit for Java Developers
Amazon released Deep Java Library (DJL), an open-source library with Java APIs to simplify training, testing, deploying, and making predictions with deep-learning models. DJL is framework agnostic; it abstracts away commonly used deep-learning functions, using Java Native Access (JNA) on top of existing deep-learning frameworks, currently providing implementations for Apache MXNet and TensorFlow.
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Microsoft Introduces Power Virtual Agents, a No-Code Solution to Building AI Bots
In a recent blog post, Microsoft announced the general availability (GA) of Power Virtual Agents, a service designed to democratize building conversational chatbots using a no-code graphical user interface. The service is part of the Microsoft Power Platform, which includes Power Apps, Power BI and Power Automate and democratizes access to building artificial intelligence-powered bots.
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Google Cloud Team Releases AutoML Natural Language
The Google Cloud team recently announced the generally available (GA) release of AutoML Natural Language framework. AutoML Natural Language supports features for data processing and common machine learning tasks like classification, sentiment analysis, and entity extraction.
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Amazon Releases SageMaker Studio IDE for Machine Learning
At the recent re:Invent conference, Amazon Web Services (AWS) announced Amazon SageMaker Studio, an integrated development enviornment (IDE) for machine learning (ML) that brings code editing, training job tracking and tuning, and debugging all into a single web-based interface.
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Recap of AWS re:Invent 2019
Last week in Las Vegas, AWS held their annual re:Invent conference and unveiled a slew of new products, while updating many existing ones. Here's a review of announcements impacting compute, data and storage, app integration, networking, machine learning, identity management, enterprise services, and development.
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LG Releases New Hyperparameter Optimization Framework Called Auptimizer
Scientists at LG’s Advanced AI division released Auptimizer, an open-source framework for hyperparameter optimization of machine learning models. The software focuses on job distribution, scheduling and bookkeeping associated with performing hyperparameter optimization at scale, relying on existing packages for optimization algorithms.
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Michael Berthold on End-to-End Data Science Using KNIME Software
Open source data analytics platform KNIME CEO and co-founder Michael Berthold gave the keynote presentation at this year's KNIME Fall Summit 2019 Conference. He spoke about the end-to-end data science cycle. The data science process lifecycle mainly involves create and productionize categories.
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Data Science at the Intersection of Emerging Technologies
Kirk Borne, principal data scientist at Booz Allen Hamilton, gave a keynote presentation at this year’s Oracle Code One Conference on how the connection between emerging technologies, data, and machine learning are transforming data into value. Emerging technological innovations like AI, robotics, computer vision and more, are enabled by data and create value from data.
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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.