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Amazon SageMaker Model Registry now supports Inference Pipelines

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Amazon SageMaker Pipelines, the first purpose-built continuous integration and continuous delivery (CI/CD) service for machine learning (ML), now supports registering and deploying SageMaker inference pipelines with the model registry. SageMaker Pipelines includes a model registry, which is a central repository for cataloging models for production, managing model versions, associating metadata with models, managing approval statuses of models, and automating their deployment with CI/CD. An inference pipeline is a SageMaker model that is composed of a linear sequence of two to fifteen containers that process requests for inferences on data. In the past, the model registry supported only models that were composed of a single container for processing requests for inference. Now, customers can register inference pipelines in the model registry as well. Each model package version of an inference pipeline will now jointly track all containers of the pipeline. An approved model package version can then be deployed as an inference pipeline hosted on a SageMaker inference endpoint with CI/CD.

AWS Snowcone is now available in the AWS Asia Pacific (Singapore) and AWS Asia Pacific (Tokyo) regions

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The AWS Snowcone service is now available for customer orders in the AWS Asia Pacific (Singapore) and, AWS Asia Pacific (Tokyo) Regions. With this launch, Snowcone is now available for order in AWS Asia Pacific (Singapore), Asia Pacific (Tokyo), Canada (Central), Asia Pacific (Sydney), EU (Frankfurt), EU (Ireland), US East (N. Virginia), and US West (Oregon) Regions. AWS Snowcone is the smallest member of the AWS Snow Family of edge computing, edge storage, and data transfer devices. Snowcone is portable, rugged, and secure – small and light enough to fit in a backpack, and able to withstand harsh environments. Customers use Snowcone to deploy applications at the edge, and to collect data, process it locally, and move it to AWS either offline (by shipping the device to AWS) or online (by using AWS DataSync on Snowcone to send the data to AWS over the network).

Amazon Textract announces reduced pricing of up to 32% on AnalyzeDocument and DetectDocumentText requests in eight global AWS Regions

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Amazon Textract is a managed service that leverages computer vision and machine learning to automatically extract printed and handwritten text, tables and forms data from scanned documents with no machine learning experience necessary. Today, we are excited to announce that effective September 1, 2021, customers will see a price reduction of up to 32% and save even more on the use of AnalyzeDocument and DetectDocumentText requests in eight global AWS Regions.

Amazon Aurora supports PostgreSQL 13

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Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL major version 13. PostgreSQL 13  includes improved functionality and performance from enhancements such as de-duplication of B-tree index entries, improved performance for queries that use partitioned tables, incremental sorting to accelerate data sorts, parallel processing of indexes with the VACUUM command, more ways to monitor activity within a PostgreSQL database, new security capabilities, and more. This release also adds support for bool_plperl, which simplifies writing Perl procedures.

Amazon Rekognition improves the accuracy of celebrity recognition, adds new attributes

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Amazon Rekognition is a machine learning (ML) based service that can analyze images and videos to detect objects, people, faces, text, scenes, activities, and inappropriate content. Celebrity Recognition makes it easy for customers to automatically recognize tens of thousands of well-known personalities in images and videos using ML. Celebrity recognition significantly reduces the repetitive manual effort required to tag produced media content and make it readily searchable. Starting today, customers can get higher accuracy (lower false detections and rejections) and increased coverage of global celebrities. In addition, customers get three new attributes for each celebrity recognized: presentation of gender, expression, and smile. This metadata helps further refine content search and filtering workflows. For example, customers can now easily search for images where a particular actor is smiling, or measure the coverage of female versus male celebrities in event photos to ensure fair representation.

Gadget Book: Living with Robots – What Every Anxious Human Needs to Know

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This book sounds like a good, worthwhile read. It’s from MIT Press and is called Living with Robots: What Every Anxious Human Needs to Know. Due out in September, it’s designed to be a lively and accessible guide to what robots can and can’t do, looking beyond the hype, the publishers promise. It covers areas …

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Reading and Daydreaming

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Here’s where China starts to become an ideological threat to the West. China has surprised and intrigued the world with its crack down on successful companies and rich entrepreneurs. What does it want to achieve? Some say Xi wants to prioritise common prosperity over extreme wealth for a few. And who can disapprove of  that? …

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Extend PCIe 3.0 and SATA3 connections at up to 8Gbit/s

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Diodes has introduced ICs that extend the physical range of PCIe 3.0 and SATA3 connections, while meeting Microsoft’s ‘modern stand-by mode’ requirements. Operating from a 3.3V rail, in stand-by mode, the 1-lane (or 2 channel) PI3EQX12902E consumes 1.7mW, whihc rises to 3.3mW for the 2-lane (4 channel) PI3EQX12904E. A pin selects PCIe 3.0 or SATA3 mode, …

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Almost perfect graphene grown

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Korea’s Institute for Basic Science (IBS) has grown what is thought to be the most perfect artificial graphene yet – with no wrinkles, folds or ‘adlayers’ (islands of multiple-layer graphene) – using a process that appears to be scalable to larger quantities. The same team, from IBS’s Center for Multidimensional Carbon Materials (CMCM), had previously reported single-crystal …

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