Today, AWS announces accuracy improvements and new settings for Amazon Rekognition Face Liveness. Amazon Rekognition Face Liveness is a feature of Amazon Rekognition that detects in real-time whether real users, not bad actors using spoofs, can access your services.

Customers across financial, gig economy, telecommunications, healthcare, and social media use Rekognition Face Liveness detection for workflows such as onboarding, authentication, and bot detection. Until now, Rekognition Liveness only offered a single experience with the ‘FaceMovementAndLightChallenge’ setting, which delivers the highest accuracy by requiring users to move their face toward the screen and hold still for a series of flashing lights. With this launch, the new ‘FaceMovementChallenge’ setting reduces the check time by 3 seconds by eliminating the flashing lights. While ‘FaceMovementAndLightChallenge’ remains the best setting to maximize accuracy, ‘FaceMovementChallenge’ allows customers to prioritize faster liveness checks when appropriate. For additional flexibility, ‘FaceMovementChallenge’, allows users to complete checks using the front or back facing camera. Lastly, this update also delivers improved accuracy across both settings to aid with fraud mitigation.

The new Face Liveness settings are available in all AWS commercial regions where Rekognition Liveness is offered at no additional cost. Customers can enable the ‘FaceMovementChallenge’ setting in the CreateFaceLivenessSession API call.

To get started with the new settings, visit the Amazon Rekognition Face Liveness page or refer to the Amazon Rekognition Developer Guide.

​Today, AWS announces accuracy improvements and new settings for Amazon Rekognition Face Liveness. Amazon Rekognition Face Liveness is a feature of Amazon Rekognition that detects in real-time whether real users, not bad actors using spoofs, can access your services. Customers across financial, gig economy, telecommunications, healthcare, and social media use Rekognition Face Liveness detection for workflows such as onboarding, authentication, and bot detection. Until now, Rekognition Liveness only offered a single experience with the ‘FaceMovementAndLightChallenge’ setting, which delivers the highest accuracy by requiring users to move their face toward the screen and hold still for a series of flashing lights. With this launch, the new ‘FaceMovementChallenge’ setting reduces the check time by 3 seconds by eliminating the flashing lights. While ‘FaceMovementAndLightChallenge’ remains the best setting to maximize accuracy, ‘FaceMovementChallenge’ allows customers to prioritize faster liveness checks when appropriate. For additional flexibility, ‘FaceMovementChallenge’, allows users to complete checks using the front or back facing camera. Lastly, this update also delivers improved accuracy across both settings to aid with fraud mitigation. The new Face Liveness settings are available in all AWS commercial regions where Rekognition Liveness is offered at no additional cost. Customers can enable the ‘FaceMovementChallenge’ setting in the CreateFaceLivenessSession API call. To get started with the new settings, visit the Amazon Rekognition Face Liveness page or refer to the Amazon Rekognition Developer Guide.  

Amazon Connect now provides APIs that allow you to delete cases, case comments, undo contact associations, and remove service level agreements (SLAs) from cases. These new capabilities enable you to programmatically remove sensitive customer information from cases or delete cases upon a customer’s request.

Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
 

​Amazon Connect now provides APIs that allow you to delete cases, case comments, undo contact associations, and remove service level agreements (SLAs) from cases. These new capabilities enable you to programmatically remove sensitive customer information from cases or delete cases upon a customer’s request. Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation.    

Amazon Connect now provides new editing and accessibility enhancements for the drag-and-drop flow designer making it easier to build customer service experiences. These enhancements include keyboard navigation, auto arranging of blocks, screen reader support, and improved support for high zoom on browsers. Additionally, when editing a flow block in configuration side panel on the flow designer UI, you can view and edit all incoming and outgoing branch connections, create new flow blocks, and review all attached notes. Each of these capabilities can be accessed through new keyboard shortcuts which are visible on the canvas.

To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.

​Amazon Connect now provides new editing and accessibility enhancements for the drag-and-drop flow designer making it easier to build customer service experiences. These enhancements include keyboard navigation, auto arranging of blocks, screen reader support, and improved support for high zoom on browsers. Additionally, when editing a flow block in configuration side panel on the flow designer UI, you can view and edit all incoming and outgoing branch connections, create new flow blocks, and review all attached notes. Each of these capabilities can be accessed through new keyboard shortcuts which are visible on the canvas. To learn more, see the Amazon Connect Administrator Guide. These features are available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.  

Amazon Aurora DSQL is now available in Asia Pacific (Seoul) and supports multi-Region clusters within Asia Pacific Regions – Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul) as well as European Regions – Europe (Ireland), Europe (London), Europe (Paris). Aurora DSQL is the fastest serverless, distributed SQL database with active-active high availability and multi-Region strong consistency. Aurora DSQL enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes.

Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), and Europe (Paris).

Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.

​Amazon Aurora DSQL is now available in Asia Pacific (Seoul) and supports multi-Region clusters within Asia Pacific Regions – Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul) as well as European Regions – Europe (Ireland), Europe (London), Europe (Paris). Aurora DSQL is the fastest serverless, distributed SQL database with active-active high availability and multi-Region strong consistency. Aurora DSQL enables you to build always available applications with virtually unlimited scalability, the highest availability, and zero infrastructure management. It is designed to make scaling and resilience effortless for your applications and offers the fastest distributed SQL reads and writes. Aurora DSQL is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Osaka), Asia Pacific (Tokyo), Asia Pacific (Seoul), Europe (Ireland), Europe (London), and Europe (Paris). Get started with Aurora DSQL for free with the AWS Free Tier. To learn more, visit the Aurora DSQL webpage and documentation.  

Amazon Aurora PostgreSQL-Compatible Edition now supports a maximum storage limit of 256 TiB, doubling the previous limit of 128 TiB. This enhancement allows customers to store and manage even larger datasets within a single Aurora database cluster simplifying data management for large-scale applications and supporting the growing data needs of modern applications. Customers only pay for the storage they use, with no need for upfront provisioning of the full 256 TiB.

To access the increased storage limit, upgrade your cluster to supported database versions. Once upgraded, Aurora storage will automatically scale up to 256 TiB capacity based on the amount of data in the cluster volume. Visit technical documentation to learn more about supported versions. This new storage volume capacity is available in all AWS regions where Aurora PostgreSQL is available.

Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.

​Amazon Aurora PostgreSQL-Compatible Edition now supports a maximum storage limit of 256 TiB, doubling the previous limit of 128 TiB. This enhancement allows customers to store and manage even larger datasets within a single Aurora database cluster simplifying data management for large-scale applications and supporting the growing data needs of modern applications. Customers only pay for the storage they use, with no need for upfront provisioning of the full 256 TiB. To access the increased storage limit, upgrade your cluster to supported database versions. Once upgraded, Aurora storage will automatically scale up to 256 TiB capacity based on the amount of data in the cluster volume. Visit technical documentation to learn more about supported versions. This new storage volume capacity is available in all AWS regions where Aurora PostgreSQL is available. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.  

The post Robótica para la protección y mitigación de incendios forestales appeared first on Source LATAM.

​The post Robótica para la protección y mitigación de incendios forestales appeared first on Source LATAM.  

Amazon S3 Express One Zone, a high performance S3 storage class, now supports tags for cost allocation and attribute-based access control (ABAC). You can add tags to S3 directory buckets to track and organize AWS costs using AWS Billing and Cost Management. Additionally, with ABAC support, you can extend your tag-based access control to new and existing users, roles, and directory buckets. This helps eliminate frequent AWS Identity and Access Management (IAM) or S3 bucket policy updates, simplifying how you scale access governance.

S3 Express One Zone supports tags on directory buckets in all AWS Regions where the storage class is available. You can get started with tagging using the AWS Management Console, S3 REST API, AWS CLI, or the AWS SDK. To learn more about using tags to simplify cost allocation or ABAC, visit the S3 User Guide.

​Amazon S3 Express One Zone, a high performance S3 storage class, now supports tags for cost allocation and attribute-based access control (ABAC). You can add tags to S3 directory buckets to track and organize AWS costs using AWS Billing and Cost Management. Additionally, with ABAC support, you can extend your tag-based access control to new and existing users, roles, and directory buckets. This helps eliminate frequent AWS Identity and Access Management (IAM) or S3 bucket policy updates, simplifying how you scale access governance. S3 Express One Zone supports tags on directory buckets in all AWS Regions where the storage class is available. You can get started with tagging using the AWS Management Console, S3 REST API, AWS CLI, or the AWS SDK. To learn more about using tags to simplify cost allocation or ABAC, visit the S3 User Guide.  

AWS Site-to-Site VPN is extending three new capabilities, including AWS Secrets Manager integration, for enhanced security and ease of configuration in AWS GovCloud (US) Regions and AWS Europe (Milan) Region.

• AWS Secrets Manager Integration: With the AWS Secrets Manager integration, when customers store their pre-shared keys (PSKs) in Secrets Manager, VPN connection API responses will redact the PSK and instead display the Secrets Manager ARN (Amazon Resource Name), providing enhanced security.
• New API to track VPN algorithms: You can now easily track the currently negotiated internet key exchange (IKE) version, Diffie-Hellman (DH) groups, encryption algorithms, and integrity algorithms using the “GetActiveVpnTunnelStatus” API. This new API eliminates the need for you to enable Site-to-Site VPN logs to get this information, saving time and reducing operational overhead.
• Recommended Configuration: “GetVpnConnectionDeviceSampleConfiguration” API now includes “recommended” parameter to help you use the best-practices security configuration – IKE version 2, DH group 20, SHA-384 integrity algorithm, and AES-GCM-256 encryption algorithm – on your customer gateway devices, reducing configuration time and potential errors.

There is no additional charge for using these capabilities. To learn more and get started, visit the AWS Site-to-Site VPN documentation.

​AWS Site-to-Site VPN is extending three new capabilities, including AWS Secrets Manager integration, for enhanced security and ease of configuration in AWS GovCloud (US) Regions and AWS Europe (Milan) Region.

AWS Secrets Manager Integration: With the AWS Secrets Manager integration, when customers store their pre-shared keys (PSKs) in Secrets Manager, VPN connection API responses will redact the PSK and instead display the Secrets Manager ARN (Amazon Resource Name), providing enhanced security.
New API to track VPN algorithms: You can now easily track the currently negotiated internet key exchange (IKE) version, Diffie-Hellman (DH) groups, encryption algorithms, and integrity algorithms using the “GetActiveVpnTunnelStatus” API. This new API eliminates the need for you to enable Site-to-Site VPN logs to get this information, saving time and reducing operational overhead.
Recommended Configuration: “GetVpnConnectionDeviceSampleConfiguration” API now includes “recommended” parameter to help you use the best-practices security configuration – IKE version 2, DH group 20, SHA-384 integrity algorithm, and AES-GCM-256 encryption algorithm – on your customer gateway devices, reducing configuration time and potential errors.

There is no additional charge for using these capabilities. To learn more and get started, visit the AWS Site-to-Site VPN documentation.  

Today, AWS announces the general availability of Neuron 2.24, delivering new features and performance improvements for customers building and deploying deep learning models on AWS Inferentia and Trainium-based instances. Neuron 2.24 introduces support for PyTorch 2.7, enhanced inference capabilities, and expanded compatibility with popular machine learning frameworks. These updates help developers and data scientists accelerate model training and inference, improve efficiency, and simplify the deployment of large language models and other AI workloads.

With Neuron 2.24, customers can take advantage of advanced inference features such as prefix caching for faster Time-To-First-Token (TTFT), disaggregated inference to reduce prefill-decode interference, and context parallelism for improved performance on long sequences. The release also brings support for Qwen 2.5 text models and improved integration with Hugging Face Optimum Neuron and PyTorch-based NxD Core backend.

Neuron 2.24 is available in all AWS Regions where Inferentia and Trainium instances are offered.

To learn more and for a full list of new features and enhancements, see:

• AWS Neuron 2.24 release notes
• Trn2 Instances
• Trn1 Instances
• Inf2 Instances

​Today, AWS announces the general availability of Neuron 2.24, delivering new features and performance improvements for customers building and deploying deep learning models on AWS Inferentia and Trainium-based instances. Neuron 2.24 introduces support for PyTorch 2.7, enhanced inference capabilities, and expanded compatibility with popular machine learning frameworks. These updates help developers and data scientists accelerate model training and inference, improve efficiency, and simplify the deployment of large language models and other AI workloads. With Neuron 2.24, customers can take advantage of advanced inference features such as prefix caching for faster Time-To-First-Token (TTFT), disaggregated inference to reduce prefill-decode interference, and context parallelism for improved performance on long sequences. The release also brings support for Qwen 2.5 text models and improved integration with Hugging Face Optimum Neuron and PyTorch-based NxD Core backend. Neuron 2.24 is available in all AWS Regions where Inferentia and Trainium instances are offered. To learn more and for a full list of new features and enhancements, see:

AWS Neuron 2.24 release notes
Trn2 Instances
Trn1 Instances
Inf2 Instances  

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced response customization for Q Business applications. This new capability enables organizations to tailor how their Q Business applications generate and format responses to user queries, ensuring consistent communication for all users.

With response customization, customers can provide instructions for identity, tone, and output style when configuring Q Business applications. This customizes the chat persona and its communication formality, along with response length and detail to match their specific needs. This feature includes built-in guardrails to ensure that response settings align with existing admin controls.

Response customization is available in all AWS Regions where Amazon Q Business is offered. To learn more about this feature, visit the Amazon Q Business User Guide and Amazon Q Business API Reference documentation.
 

​Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, today introduced response customization for Q Business applications. This new capability enables organizations to tailor how their Q Business applications generate and format responses to user queries, ensuring consistent communication for all users. With response customization, customers can provide instructions for identity, tone, and output style when configuring Q Business applications. This customizes the chat persona and its communication formality, along with response length and detail to match their specific needs. This feature includes built-in guardrails to ensure that response settings align with existing admin controls. Response customization is available in all AWS Regions where Amazon Q Business is offered. To learn more about this feature, visit the Amazon Q Business User Guide and Amazon Q Business API Reference documentation.