As much as $15 million may be awarded by the DOE to applicants for early-stage solid-state lighting research in core technology, OLED and LED proof-of-concept, advanced fabrication, and innovative lighting.
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Your Accurate Search for New Technology
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As much as $15 million may be awarded by the DOE to applicants for early-stage solid-state lighting research in core technology, OLED and LED proof-of-concept, advanced fabrication, and innovative lighting.
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Never fear: Zumtobel is near, with a surprising lighting-as-a-service twist.
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SSL-sector acquisitions and new ventures accelerate while financial reporting news is mixed across the LED component and lighting manufacturing spaces.
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Amazon CloudWatch Metrics for Amazon S3 now includes storage metrics for Amazon Glacier and S3 OneZone-Infrequent Access (S3 One Zone-IA) storage classes. Storage that has been uploaded to S3 One Zone-IA or transitioned to S3 One Zone-IA or Amazon Glacier from S3 Standard or S3 Standard-IA storage classes using S3 Lifecycle policies will be available in CloudWatch storage metrics. These storage metrics will also include object overhead bytes applied to objects in Amazon Glacier and small objects in S3 Standard-IA and S3 One Zone-IA.
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With this update, you can now schedule recurring security assessments through the Amazon Inspector console. You can also now install the Inspector Agent directly from the Inspector console using the Systems Manager Run Command.
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You can now access Amazon Virtual Private Cloud (VPC) resources for training and hosting workflows in Amazon SageMaker . With this new feature, you can use Amazon Simple Storage Service (S3) buckets that are only accessible through your VPC to store training data, as well as to store and host the model artifacts derived from the training process. In addition to S3, models can access all other AWS resources contained within the VPC. Support for VPC resources in training and hosting also allows you to use VPC Flow Logs to monitor all traffic flowing in and out of the Amazon SageMaker algorithms and models.
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This Quick Start automatically deploys BusinessWorks Container Edition into a highly available architecture on AWS, using Amazon Elastic Container Service (Amazon ECS) host instances and an Amazon Elastic Container Registry (Amazon ECR) repository for plug-ins. The deployment is automated by AWS CloudFormation templates and takes about 25 minutes.
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AWS Service Catalog , used by enterprises, system integrators, and managed service providers to organize, govern, and provision cloud resources on AWS, now allows customers to chain together the launch of multiple products. Customers gain the flexibility to compose products with smaller AWS CloudFormation templates as building blocks rather than creating a monolithic application stack template.
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You can now use AWS IoT Analytics to cleanse, process, enrich, store, and analyze IoT data at scale. AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of data from IoT devices and sensors, empowering customers to uncover insights that lead to more accurate decisions for their IoT and machine learning applications.