InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Introducing TensorFlow Privacy, a New Machine Learning Library for Protecting Sensitive Data
In a recent blog post, TensorFlow announced TensorFlow Privacy, an open source library that allows researchers and developers to build machine learning models that have strong privacy. Using this library ensures user data are not remembered through the training process based upon strong mathematical guarantees.
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Q&A on Condé Nast's Natural Language Processor and Content Analysis
Beginning in 2015, Condé Nast created a natural-language-processing and content-analysis engine to improve the metadata around content created across their 22 brands. The new system has led to a 30% increase in click-through rates. InfoQ spoke with Antonino Rau, a software engineer and technology manager at Condé Nast US about the evolution of their NLP-as-a-service system named HAL.
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Deep Learning for Speech Synthesis of Audio from Brain Activity
Research teams use deep learning neural networks to synthesize speech from electrical signals recorded in human brains, to help people with speech challenges.
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Autonomous Analytics: Driving the Future of Data in Business Analytics
Autonomous data analytics will be the driver of business analytics in the future. and will be seamlessly integrated into our lives. John Thuma, from Arcadia Data, spoke at Enterprise Data World 2019 Conference in Boston about self-driving analytics.
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Google Expands Cloud BigTable Replication Capabilities Globally in Beta
Google announced the expansion of Cloud BigTable's replication capabilities in Beta - providing customers with the flexibility to make their data available across a region or worldwide. Furthermore, the enhancements will allow customers to create a replicated cluster in any zone at any time.
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Xiaoya Wei on Airbnb's Knowledge Graph
Airbnb's knowledge graph encodes information about their inventory and the world in a graph structure. This structure is based on a hierarchical taxonomy. InfoQ caught up with Xiaoya Wei, software engineer at Airbnb, regarding their knowledge graph and how it helps them categorize their inventory and deliver travel context to their users.
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Microsoft Survey to Study the JavaEE to Cloud Migration: A Call to the Java Community to Participate
The Microsoft Azure engineering team is calling on the Java community to participate in a special survey to understand the challenges of migrating Java EE applications to the cloud. The team would appreciate input from developers who either: have already migrated Java EE applications to cloud; are currently going through a migration; or are planning to start a migration.
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Amazon Alexa Enables an Ambient Computing Lifestyle
Alexa is becoming ubiquitous in the home through a purposeful Amazon Web Services (AWS) strategy to make Alexa, voice-activated service, a central component of an ambient computing lifestyle, according to Dave Limp, Amazon’s senior VP of devices and services in a recent article in the Verge.
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IBM May Have Found a Path to Dealing with Decoherence in Current Quantum Computers
In a recent Nature paper, researchers from IBM and other institutions devised two quantum algorithms to train a quantum support vector machine (SVM) classifier and proposed a novel approach to dealing with decoherence and noise in current quantum hardware.
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Applying Artificial Intelligence in the Agile World
The convergence of artificial intelligence (AI) systems with the agile world is having a disruptive effect on how we build software and the types of products that we build, said Aidan Casey. By combining machine learning and deep learning we can build applications that truly learn like humans. AI bias is a very serious concern, as AI systems are only as good as the data sets used to train them.
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San Francisco: QCon.ai Schedule Nearing Completion
April 15-17 software engineering teams will gather in the Bay area for the Second Annual QCon.ai Software Conference. QCon.ai is focused on helping teams adopt and validate roadmaps in machine learning by hearing and learning from those that are doing it today. What truly differentiates QCon.ai is its machine learning focus given through the lens of the software engineer.
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Uber Open-Sources Ludwig Code-Free Deep-Learning Toolkit
Uber Engineering is open-sourcing Ludwig, a deep-learning toolkit that allows users to experiment with a variety of neural network structures without writing code.
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Eclipse Releases GlassFish 5.1 Certified as Compatible with Java EE 8
Eclipse has achieved another GlassFish milestone with the anticipated GA release of version 5.1. A year in the making, this milestone included previous GlassFish milestones such as the full migration of source code and open-sourcing the Java EE TCK (September 2018), the RC1 release of GlassFish 5.1 (October 2018), and the integration of EclipseLink and Eclipse Jersey in GlassFish (December 2018).
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Microsoft Announces New Azure Analytics Services ADLS, ADX and More
Microsoft has announced the general availability of two new Azure analytics services - Azure Data Lake Storage Gen2 (ADLS) and Azure Data Explorer (ADX). Furthermore, Microsoft also announced the preview of Azure Data Factory Mapping Data Flow.
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Uber Introduces AresDB: GPU-Powered, Open-Source, Real-Time Analytics Engine
Uber recently introduced AresDB, an open-source real-time analytics engine leveraging an unconventional power source - graphics processing units (GPUs) - for meeting the growing demands of analysis at scale and at the same time unifying, simplifying and improving Uber’s existing solutions.