InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Google’s Tensorflow Roadmap Includes Better XLA Compilation and Distributed Computing
Google announced the next iteration of TensorFlow development. TensorFlow is the machine learning platform developed by Google and open sourced seven years ago. The development road-map for the next TensorFlow releases is based on four pillars: fast and scalable, applied machine learning, ready to deploy and simplicity.
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Meta Announces Video Generation AI Model Make-a-Video
Meta AI recently announced Make-A-Video, a text-to-video generation AI model. Make-A-Video is trained using publicly available image-text pairs and video-only data and achieves state-of-the-art performance on the UCF-101 video-generation benchmark.
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Meta Has Developed an AITemplate Which Transforms Deep Neural Networks into C++ Code
Meta AI has developed AITemplate (AIT), a unified open-source system with separate acceleration back ends for both AMD and NVIDIA GPU hardware technology. AITemplate (AIT) is a two-part Python framework for AI models that transforms them into much faster C++ code. It has a front-end that optimizes models through graph transformations and optimizations.
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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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Microsoft Releases Stream Analytics No-Code Editor into General Availability
During the Ignite Conference, Microsoft released Azure Stream Analytics no-code editor, a drag-and-drop canvas for developing jobs for stream processing scenarios such as streaming ETL, ingestion, and materializing data to data into general availability. The no-code editor is hosted in the company’s big-data streaming platform and event ingestion service, Azure Event Hubs.
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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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PyTorch Becomes Linux Foundation Top-Level Project
PyTorch, the popular deep-learning framework developed by Meta AI Research, has now become an independent top-level project of the Linux Foundation. The project will be managed by the newly-chartered PyTorch Foundation, with support from several large companies including Meta, AWS, NVIDIA, AMD, Google, and Microsoft.
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Amazon EC2 Trn1 Instances for High Performance on Deep Learning Training Models Now Available
AWS announces general availability of Amazon EC2 Trn1 instances powered by AWS Trainium Chips. Trn1 instances deliver the highest performance on deep learning training of popular machine learning models on AWS, while offering up to 50% cost-to-train savings over comparable GPU-based instances.
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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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Apache InLong: Integration Framework for Massive Data
Apache InLong, an integration framework designed for massive data, was originally built at Tencent, where it was used in production for more than eight years, to support massive data reporting services in big data scenarios. The project officially graduated as an Apache top-level project three years after the introduction of the project in the Apache Incubator.
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University Researchers Publish Results of NLP Community Metasurvey
Researchers from New York University, University of Washington, and Johns Hopkins University have published the results of the NLP Community Metasurvey, which compiles the opinions of 480 active NLP researchers about several issues in the natural language processing AI field. The survey also includes meta-questions about the perceived opinions of other researchers.
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Grab Shared Its Experience in Designing Distributed Data Platform
GrabApp is an application that customers select and buy their daily needs from merchants. To be scalable and manageable the data platform and ingestion should be designed as a distributed, fault-tolerant. To design this data platform two classes of data stores are considered: OLTP and OLAP.
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Confluent Introduces Stream Governance Advanced to Safely Extend Data Streaming Power
Confluent recently announced new enhancements to its Stream Governance product that will improve engineering teams' ability to discover, understand, and trust real-time data. Organizations can use Stream Governance Advanced to resolve issues within complex pipelines more easily with point-in-time lineage.
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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.