InfoQ Homepage Machine Learning Content on InfoQ
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Google Announces the General Availability of A2 Virtual Machines
Recently, Google announced A2 Virtual Machines (VMs)' general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine. According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost.
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Google DeepMind’s NFNets Offers Deep Learning Efficiency
Google’s DeepMind AI company recently released NFNets, a normalizer-free ResNet image classification model that achieved a training performance of 8.7x faster than current state-of-the-art EfficientNet. In addition, it helps neural networks to generalize better.
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Using Machine Learning in Testing and Maintenance
With machine learning, we can reduce maintenance efforts and improve the quality of products. It can be used in various stages of the software testing life-cycle, including bug management, which is an important part of the chain. We can analyze large amounts of data for classifying, triaging, and prioritizing bugs in a more efficient way by means of machine learning algorithms.
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Amazon Lookout for Vision Now Generally Available
Amazon has recently announced the general availability of Amazon Lookout for Vision, an anomaly detection product that uses machine learning to process images to spot process defects and anomalies in manufactured products.
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Azure Arc-Enabled Machine Learning Is Now in Preview
Azure Arc is Microsoft's offering for allowing customers to bring Azure services and management to any infrastructure, including AWS and Google Cloud. This year, during the virtual Ignite conference, the company announced the preview of Azure Arc-enabled machine learning, which extends Azure machine learning capabilities to hybrid and multi-cloud environments.
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AWS Introduces HealthLake and Redshift ML in Preview
AWS introduced preview releases of Amazon HealthLake service and a feature for Amazon Redshift called Redshift ML during re:Invent 2020 in December. Amazon HealthLake is a data lake service that helps healthcare, health insurance, and pharmaceutical companies to derive value out of their data with the help of NLP. Redshift ML is a service that provides a gateway into SageMaker to Redshift users.
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AWS Launches Amazon DevOps Guru
Amazon Web Services (AWS) recently introduced Amazon DevOps Guru, one of several new machine learning-driven services. DevOps Guru detects operational issues, generates reports and notifications, and offers insights and recommendations on how to take action.
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Medium Describes "Rex" - a Go-Based Recommendation Service
In a recent blog post, Medium describes how it built a recommendation service named "Rex." The original recommendation service was part of the Node.js monolith, and it could only rank 150 stories. However, Medium wanted this service to rank hundreds of thousands of stories per user in under a second. So, they decided to build an entirely new, separate service using Go.
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AWS Announces Amazon SageMaker Edge Manager
Recently AWS announced a new capability of SageMaker called Amazon SageMaker Edge Manager. This new capability in SageMaker makes it easy for customers to prepare, run, monitor, and update machine learning models on fleets of edge devices such as smart cameras, robots, and industrial machines.
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AWS Announces Amazon SageMaker Feature Store
Recently AWS announced a new capability of SageMaker called Amazon SageMaker Feature Store, a fully-managed, purpose-built repository. This new SageMaker capability allows customers to create repositories that make it easier to store, update, retrieve, and share machine learning (ML) features for training and inference.
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Google ML Kit Adds Entity Extraction and Selfie Segmentation
The new Entity Extraction API, now available in beta, enables analyzing text inside of an app to detect different textual entities such as dates, URLs, payment cards, and so on. Selfie Segmentation aims to make it easier to add effects to pictures.
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MediaPipe Introduces Holistic Tracking for Mobile Devices
Holistic tracking is a new feature in MediaPipe that enables the simultaneous detection of body and hand pose and face landmarks on mobile devices. The three capabilities were previously already available separately but they are now combined in a single, highly optimized solution.
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Google Launches Healthcare Natural Language API and AutoML Entity Extraction for Healthcare
In a recent blog post, Google announced the public preview of two new fully-managed AI tools: Healthcare Natural Language API and AutoML Entity Extraction for Healthcare. Both tools can assist healthcare professionals in reviewing and analyzing medical documents in a repeatable, scalable way.
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AWS Announces EC2 P4d Instances for ML and HPC
Amazon Web Services (AWS) recently announced the availability of Elastic Compute Cloud (EC2) P4d instances with UltraClusters capability. These GPU-powered instances will deliver faster performance, lower cost, and more GPU memory for machine learning (ML) training and high-performance computing (HPC) than previous generation of P3 instances.
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Preview of AWS Cost Anomaly Detection Now Available
AWS has recently made available the preview of AWS Cost Anomaly Detection, a new service to detect unusual spending patterns across AWS accounts. The goal is to improve cost controls and minimize unintended spend.