InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Deep-Learning Framework SINGA Graduates to Top-Level Apache Project
The Apache Software Foundation (ASF) recently announced that SINGA, a framework for distributed deep-learning, has graduated to top-level project (TLP) status, signifying the project's maturity and stability. SINGA has already been adopted by companies in several sectors, including banking and healthcare.
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The Future of Data Engineering: Chris Riccomini at QCon San Francisco
At QCon San Francisco 2019, Chris Riccomini presented “The Future of Data Engineering”. The key takeaway of his talk is about reaching an end goal with data engineering, which is having a fully automated decentralized data warehouse.
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The Current and Future Landscape of AI and VR
Cognitive technologies like AI and VR are here to stay, claimed Dr Susie Harding at Women in Tech Dublin 2019. We engage with AI constantly nowadays; it’s all around us, in ways we couldn’t imagine even five years ago. VR technologies haven’t breached the tech wall yet, but they will become more tactile in the coming years.
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PyTorch 1.3 Release Adds Support for Mobile, Privacy, and Transparency
Facebook recently announced the release of PyTorch 1.3. The latest version of the open-source deep learning framework includes new tools for mobile, quantization, privacy, and transparency.
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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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Alexa Research Paper Shows Genetic Algorithms Offer Best Solution for Neural Network Optimization
Amazon's Alexa Science researchers published a paper providing a theoretical basis for neural network optimization. While showing that it is computationally intractable to find a perfect solution, the paper does provide a formulation, the Approximate Architecture Search Problem (a-ASP), that can be solved with genetic algorithms.
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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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Gutenberg – a Publish-Subscribe Service for Datasets Created by Netflix
To propagate datasets from a single producer to multiple consumers, Netflix has created Gutenberg, a service using a publish-subscribe technique to propagate versioned datasets between their microservices. In a blog post, Ammar Khaku, senior software engineer at Netflix, describes an overview of the design as well and some use cases for Gutenberg.
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The Robot Operating System (ROS) Can Make Hospitals Smarter
The ROSCon 2019 conference kicked off with a keynote from Selina Seah from Changi General Hospital and Morgan Quigley from Open Robotics. In their talk, they outlined the need for robotics and automation in hospitals. To support robotics, the Open Robotics foundation works actively to create tools to support multiple robotics platforms, fleets working together, and tools for QA and simulation.
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High-Performance Data Processing with Spring Cloud Data Flow and Geode
Cahlen Humphreys and Tiffany Chang spoke recently at the SpringOne Platform 2019 Conference about data processing with Spring Cloud Data Flow and Apache Geode frameworks.