InfoQ Homepage Machine Learning Content on InfoQ
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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.
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Google Published Results on How ML-Enhanced Code Compilation Could Improve Developers’ Productivity
The rapid advances in natural language processing (NLP) opened a new direction to use deep learning models in providing smarter suggestions for developers while writing software codes. Google AI has recently published results on ML-enhanced code compilation and how it improved developers’ productivity considering different metrics.
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Amazon Announces New Capabilities on Local Environments for SageMaker Canvas and Pipelines
Amazon is announcing multiple capabilities for SageMaker, including expanded capabilities to better prepare and analyze data for machine learning, faster onboarding with automatic data import from local disk in SageMaker Canvas, and the testing of machine learning workflows in local environments for SageMaker Pipelines.
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Azure Optimized Stack with DeepSpeed for Hyperscale Model Training
Azure Machine Learning (AzureML) now provides an optimized stack that uses the latest NVIDIA GPU technology with Quantum InfiniBand to efficiently train and fine-tune large models like Megatron-Turing and GPT-3.
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AWS Adds Coding Assistant CodeWhisperer to Lambda Console
AWS recently announced the preview of Amazon CodeWhisperer in the AWS Lambda console. Available as a native code suggestion feature in the code editor, the new functionality of the coding assistant can make code recommendations during Lambda function definition.
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Machine Learning Systems Vulnerable to Specific Attacks
The growing number of organizations creating and deploying machine learning solutions raises concerns as to their intrinsic security, argues the NCC Group in a recent whitepaper (Practical Attacks on Machine Learning Systems).
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Amazon Comprehend Announces the Reduction of the Minimum Requirements for Entity Recognition
Amazon is announcing that they lowered the minimal requirements for training a recognizer with plain text CSV annotation files as a result of recent advances in the models powering Amazon Comprehend. Now, you just need three documents and 25 annotations for each entity type to create a unique entity recognition model.
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Ant Group Open Sources Privacy-Preserving Computation Framework
Alibaba financial arm Ant Group has open sourced SecretFlow, its privacy-preserving framework, with a specific focus on data analysis and machine learning.
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Meta Hopes to Increase Accuracy of Wikipedia with New AI Model
Meta AI's research and advancements team developed a neural-network-based system, called SIDE, that is capable of scanning hundreds of thousands of Wikipedia citations at once and checking whether they truly support the corresponding contents. Wikipedia is a multilingual free online encyclopedia written and maintained by volunteers through open collaboration and a wiki-based editing system.
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AWS Announced Synthetic Data Generation for SageMaker Ground Truth
AWS announced that users can now create labeled synthetic data with Amazon SageMaker Ground Truth. SageMaker Ground Truth is a data labeling service that makes it simple to label data and allows you the choice to use human annotators through third-party suppliers, Amazon Mechanical Turk, or your own private workforce.