TSMC had revenue in the July-September period of $23.62 billion – up 36% on the $17.3 billion of Q3 2023. September sales of $7.74 billion were up 39.6% y-o-y. TSMC …

The post TSMC Q3 revenue up 36% y-o-y appeared first on Electronics Weekly .

PhotonDelta, the European hub for photonics, will launch a worldwide competition for new applications for photonics chips at PIC Summit 2024 (Eindhoven 15 October). Partners include imec, LioniX International, Smart …

The post Industry unites to drive photonic chip applications appeared first on Electronics Weekly .

Hull UK based Floreon has won the US Plastics Industry Association’s ‘innovation in bioplastics’ award for its plant-based, flame retardant, halogen-free polymer. Called Therma-Tech is a PLA (polylactic acid) with …

The post Prize for UL94V-0 certified flame retardant bio-plastic appeared first on Electronics Weekly .

Amazon Q Business now supports the integration with Smartsheet, the modern enterprise work management platform trusted by millions of people at companies across the globe. This connector makes it easy to synchronize data from your Smartsheet instance with your Amazon Q index. When implemented, your employees can use Amazon Q Business to query their intelligent assistant on information about their Smartsheet projects and tasks.

Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Q Business can be scheduled to automatically sync your index with your selected data sources, so you’re always securely searching through the most up-to-date content.

To learn more about Amazon Q Business and its integration with Smartsheet, visit the Amazon Q Business connectors webpage . The new connector with Smartsheet is available in all AWS Regions where Q Business is available.
 

Amazon OpenSearch Serverless has recently introduced a suite of new features and enhancements that enable faster indexing, improved search performance, and expanded analytical capabilities.

The updates include the introduction of a flat object data type, which allows for more efficient storage and searching of nested data. OpenSearch Serverless now supports enhanced geospatial features, providing users with the ability to uncover valuable insights from location-based data. OpenSearch Serverless has also expanded its field types, including support for unsigned long, and doc count mapper. The new multi-term aggregation feature enables you to perform complex aggregations, and gain deeper insights into your data. Furthermore, OpenSearch Serverless has also seen significant reduction in indexing latencies and faster ascending/descending search sorts, improving the overall efficiency and performance.

These new features for OpenSearch Serverless are automatically enabled for all collections and is now available in 14 regions globally: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe West (Paris), Europe West (London), Asia Pacific South (Mumbai), South America (Sao Paulo), Canada (Central), and the AWS GovCloud (US-West) Region.

Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability.

To learn more about OpenSearch Serverless, see the documentation.
 

Amazon VPC Lattice is now available in 3 additional AWS Regions: Asia Pacific (Osaka), Asia Pacific (Hong Kong), and Middle East (Bahrain).

Amazon VPC Lattice is an application networking service that simplifies connecting, securing, and monitoring service-to-service communication. You can use Amazon VPC Lattice to facilitate cross-account and cross-VPC connectivity, as well as application layer load balancing for your workloads in a consistent way regardless of the underlying compute type – instances, containers, and serverless.

With this launch, Amazon VPC Lattice is now generally available in 21 AWS regions: Please visit the AWS region table for more information on AWS regions and services. To learn more, visit the Amazon VPC Lattice homepage , Amazon VPC Lattice User Guide , Frequently Asked Questions , and browse the most recent VPC Lattice blog posts here .

Amazon Q in Connect, a generative-AI powered assistant for contact center agents, now recommends personalized guidance to agents using customer data from Amazon Connect and other third-party CRM systems. Amazon Q in Connect detects the customer’s intent from the real-time voice or chat conversation and understands customer data to recommend what an agent should say or what action they should take.

For example, when a customer contacts a hotel to upgrade their room, Amazon Q in Connect analyzes the real-time conversation, identifies the customer’s loyalty tier, and provides the agent with a step-by-step guide of upgrade options and discounts to offer the customer. With Amazon Q in Connect, contact centers can empower agents to provide a more personalized and efficient customer interaction while driving increased customer satisfaction.

For region availability, please see the availability of Amazon Connect features by Region . To learn more about Amazon Q in Connect, please visit the website or see the help documentation .
 

The Mountpoint for Amazon S3 Container Storage Interface (CSI) driver now supports configuring distinct AWS Identity and Access Management (IAM) roles for individual Kubernetes pods. Built on Mountpoint for Amazon S3 , the CSI driver presents an S3 bucket as a volume accessible by containers in Amazon Elastic Kubernetes Service (Amazon EKS) and self-managed Kubernetes clusters. Now, you can use IAM roles for each pod to restrict access to specific buckets or objects, without making changes to your applications.

Previously, you could configure an IAM role that the CSI driver used for all pods in your Kubernetes cluster. With this launch, you can further strengthen your application security when building multi-tenant environments by configuring the CSI driver to use individual IAM roles for each pod that attaches a volume. This means that you can run data-intensive jobs, like machine learning or media transcoding, across multiple pods while allowing each pod to access only the data it needs, providing data isolation between pods as a result.

Amazon EKS supports the Mountpoint for Amazon S3 CSI driver as an EKS add-on. You can install, configure, and update the CSI driver with just a few clicks in the Amazon EKS console, AWS Command Line Interface (AWS CLI), EKS Application Programming Interface (API), and AWS CloudFormation. To get started, follow the user guide .

Amazon Q in Connect, a generative-AI powered assistant for contact center agents, now enables contact center supervisors to pre-configure LLM prompts to match your company’s brand and business guidelines. Supervisors can tailor prompts to change Amazon Q in Connect’s tone and behavior to incorporate specific company phrases, follow language guidelines, and designate certain “fixed” responses for situations requiring absolute consistency. For example, when a customer contacts a healthcare insurance provider, Amazon Q in Connect can be customized to be sensitive for use cases such as denied claim. Agents using step-by-step guides for the claim appeals process will be provided empathetic phrasing and automated disclaimers for different types of medical advice. With Amazon Q in Connect, contact centers can empower agents to consistently represent the company’s brand, reduce compliance risks, and increase customer satisfaction.

For region availability, please see the availability of Amazon Connect features by Region . To learn more about Amazon Q in Connect, please visit the website or see the help documentation .
 

Today, AWS announces support for resubmitting your Deadline Cloud jobs, via API, CLI, and within the Deadline Cloud monitor, so you can easily run jobs again with updated parameters. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design.

Resubmitting jobs makes it easy to run the same job with updated parameters. For example, you can submit a job to render a subset of testing frames, verify their output, then run the job again with the full frame range.

Resubmitting jobs is available in all AWS Regions where Deadline Cloud is available.

For more information, please visit the Deadline Cloud product page , and the Deadline Cloud User Guide.