InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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AI Researchers' Open-Source Model Explanation Toolkit AllenNLP Interpret
Researchers from the Allen Institute for AI and University of California, Irvine, have released AllenNLP Interpret, a toolkit for explaining the results from NLP models. The extensible toolkit includes several built-in methods for interpretation and visualization components, as well as examples using AllenNLP to explain the results of state-of-the art NLP models including BERT and RoBERTa.
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Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
Recently Microsoft announced the general availability of Jupyter notebooks support for Cosmos DB, providing integrated support for running queries directly against all data models. As these notebooks run directly inside Cosmos DB; this allows for analyzing and visualizing the data directly from the Azure portal, without the need to extract the data.
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Distributed SQL Database NuoDB 4.0 Supports Kubernetes Operator and Indexing Improvements
Distributed SQL database NuoDB 4.0 supports Kubernetes Operator and indexing improvements. NuoDB released the latest version of the database that also supports Azure and Google Cloud Platform certification.
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Google Releases Two New NLP Dialog Datasets
Researchers from Google AI released two new dialog datasets for natural-language processing (NLP) development: Coached Conversational Preference Elicitation (CCPE) and Taskmaster-1. The datasets contain thousands of conversations as well as labels and annotations for training digital assistants to better determine users' preferences and intentions.
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Microsoft .NET Conf 2019: .NET Core 3.0, C# 8.0, F# 4.7, and Machine Learning
At the 2019 edition of .NET Conf, streamed online earlier this week, Microsoft announced several new features for the .NET ecosystem. .NET Core, ASP.NET, and EF Core 3.0 were released, together with C# 8.0 and F# 4.7. The new releases have a considerable impact on how Windows Desktop, Web, and Mobile applications are developed. New features and tools for Visual Studio 2019 were also showcased.
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Facebook Open-Sources RoBERTa: an Improved Natural Language Processing Model
Facebook AI open-sourced a new deep-learning natural-language processing (NLP) model, Robustly-optimized BERT approach (RoBERTa). Based on Google's BERT pre-training model, RoBERTa includes additional pre-training improvements that achieve state-of-the-art results on several benchmarks, using only unlabeled text from the world-wide web, with minimal fine-tuning and no data augmentation.
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Google Releases Cloud Dataproc for Kubernetes in Alpha
Google Cloud Dataproc is an open-source data and analytic processing service based on Hadoop and Spark. Google has recently announced the alpha availability of Cloud Dataproc for Kubernetes, which provides customers with a more efficient method to process data across platforms.
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WebExpo 2019: Make Healthcare Affordable and Accessible Using Tech and AI
Anna Zawilska, lead user researcher at Babylon Health, recently presented at WebExpo 2019 in Prague the lessons learnt from their experience delivering remote healthcare through a combination of technology and Artificial Intelligence (AI). Babylon Health came to adjust three key assumptions underpinning their product development.
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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.
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Facebook, Microsoft, and Partners Announce Deepfake Detection Challenge
Facebook, Microsoft, the Partnership on AI, and researchers from several universities have created the Deepfake Detection Challenge (DDC), a contest to produce AI that can detect misleading images and video that have been created by AI. The challenge includes several grants and awards for the teams that create the best AI solution, using the DDC's dataset of real and fake videos.
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Amazon-Certified Syntiant Neural Decision Processors (NDP) Aim to Bring Alexa to Low-Power Devices
Syntiant NDPs are custom-built chips specialized to run TensorFlow neural networks and can be integrated in many kinds of voice and audio-enabled devices, now including Alexa-enabled devices.
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Denis Magda on Continuous Deep Learning with Apache Ignite
At the recent ApacheCon North America, Denis Magda spoke on continuous machine learning with Apache Ignite, an in-memory data grid. Ignite simplifies the machine-learning pipeline by performing training and hosting models in the same cluster that stores the data, and can perform "online" training to incrementally improve models when new data is available.
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Jagadish Venkatraman on LinkedIn's Journey to Samza 1.0
At the recent ApacheCon North America, Jagadish Venkatraman spoke about how LinkedIn developed Apache Samza 1.0 to handle stream processing at scale. He described LinkedIn's use cases involving trillions of events and petabytes of data, then highlighted the features added for the 1.0 release, including: stateful processing, high-level APIs, and a flexible deployment model.
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ApacheCon 2019 Keynote: Google Cloud Enhances Big-Data Processing with Kubernetes
At ApacheCon North America, Christopher Crosbie gave a keynote talk title "Yet Another Resource Negotiator for Big Data? How Google Cloud is Enhancing Data Lake Processing with Kubernetes." He highlighted Google's efforts to make Apache big-data software "cloud native" by developing open-source Kubernetes Operators to provide control planes for running Apache software in a Kubernetes cluster.
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Exploring the Motivations for the Inaugural Open Core Summit: Q&A with Founder Joseph Jacks
The inaugural Open Core Summit will be running September 19-20th in San Francisco. InfoQ recently sat down with the founder of the event, Joseph Jacks, and explored his motivations for running this event and discussed why he believes new open source businesses should focus on creating the maximum level of value possible, but aim to capture only a small amount of that value.