InfoQ Homepage Machine Learning Content on InfoQ
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Snap Way to Design Ads Ranking Service Using Deep Learning
Snap engineering has recently published a blog post on how they designed their ads ranking and targeting service using deep learning. Showing ads to the users is the mainstream of social network platform monetization. Snap ad ranking system is designed to target the right user at the right time. Snap is providing an excellent user experience while preserving user privacy and security.
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How GPT3 Architecture Enhanced AI Capabilities: Lifearchitect.ai Keynote At Devoxx
Dr. Alan D. Thompson, the man behind lifearchitect.ai, sees the current AI trajectory as a shift more profound than the discovery of fire, or the WWW. His Devoxx keynote presents the state of the AI industry, following Google’s Transformer architecture introduction, a true transformer of the industry that gave rise to new AI models, which can conceptualize images, books from scratch and much more.
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Netflix's Fraud Detection Framework for Streaming Services
Netflix has developed a fraud and abuse detection framework for streaming services, based on artificial intelligence models and data-driven anomaly detections trained on the behavior of the users. Streaming services have, potentially, a lot of onboarded users on multiple devices.
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Amazon SageMaker Clarify Now Supports Online Explainability for ML Predictions
Amazon is announcing that Amazon SageMaker Clarify now supports online explainability by providing explanations for machine learning model’s individual predictions in near real-time on live endpoints.
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Fitbit Health Solution and Google Cloud Introduce Device Connect for Fitbit
Fitbit Health Solutions and Google Cloud have recently announced the release of Device Connect for Fitbit, which will provide healthcare and life sciences enterprises with accelerated analytics and insights to help people live healthier lives.
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Google AI Introduces TensorStore, a High-Performance Open-Source Library for Array Storage
Google has introduced TensorStore, an open-source C++ and Python framework intended to speed up the design for reading and writing large multidimensional arrays.
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Amazon Announced Promotion Feature in Its Personalize Service
Amazon web services has recently announced a promotion feature in personalize to explicitly recommend specific items based on business rules. Amazon Personalize enables businesses to improve customer engagement and monetization metrics by recommending personalized items to the customers.
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Amazon Is Adding Visual Conversation Builder for Amazon Lex
Amazon is introducing the Visual Conversation Builder for Amazon Lex, a drag and drop interface to visualize and build conversation flows in a no-code environment. The Visual Conversation Builder greatly simplifies bot design.
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Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms
Amazon is announcing a new built-in TensorFlow algorithm for image classification in Amazon Sagemaker. The supervised learning algorithm supports transfer learning for many pre-trained models available in TensorFlow Hub.
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Netflix’s New Algorithm Offers Optimal Recommendation Lists for Users with Finite Time Budget
Netflix developed a new machine learning algorithm based on reinforcement learning to create an optimal list of recommendations considering a finite time budget for the user. In a recommendation use case, often the factor of finite time to make a decision is ignored.
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Amazon Announces the Improvement of ML Models to Better Identify Sensitive Data on Amazon Macie
Amazon is announcing a new capability to create allow lists in Amazon Macie. Now text or text patterns not desire for Macie to report as sensitive data can be specified in allow lists. Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS.
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Microsoft Releases SynapseML 0.1.0 with .NET and Cognitive Services Support
Microsoft announced the first .NET-compatible version of SynapseML, a new machine learning (ML) library for Apache Spark distributed processing platform. Version 0.1.0 of the SynapseML library adds support for .NET bindings, allowing .NET developers to write ML pipelines in their preferred language.
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Amazon Launches What-If Analyses for Machine Learning Forecasting Service Amazon Forecast
Amazon is announcing that now its time-series machine learning based forecasting service Amazon Forecast can run what-if assessments to determine how different business scenarios can affect demand estimates. What-if analysis is an effective business technique for simulating hypothetical scenarios and stress testing on planning assumptions by recording potential outcomes.
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AWS Deep Graph Knowledge Embedding for Bond Trading Predictions
AWS developed the Deep Graph Knowledge Embedding Library (DGL-KE), a knowledge graph embedding library built on the Deep Graph Library (DGL). DGL is a scalable, high performance Python library for deep learning in graphs. This library is used by the advanced machine learning systems developed with Trumid to build a credit trading platform.
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Next Generation of Data Movement and Processing Platform at Netflix
Netflix engineering recently published in a tech blog how they used data mesh architecture and principles as the next generation of data platform and processing to unleash more business use cases and opportunities. Data mesh is the new paradigm shift in data management that enables users to easily import and use data without transporting it to a centralized location like a data lake.