Amazon Quick now enables administrators to set per-user limits on index storage and agent hours, giving them direct control over subscription costs. With limits management, administrators can create limit profiles that cap per-user consumption, helping prevent unexpected overage charges and ensuring subscription entitlements are used efficiently across their organization.

For example, an organization deploying Quick enterprise-wide to thousands of users can set account-level limit profiles to establish cost-predictable baselines, then assign higher limits to specific roles that require more agent hours. Administrators can create and assign limit profiles at the user, role, or account level, with a priority hierarchy that ensures the right users get the right capacity. When a user reaches their limit, new consumption is blocked while existing content is preserved.

This feature is available for Professional and Enterprise plans, in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table.

Learn more about Amazon Quick by visiting the Quick website. To learn more about limit profiles, see Limits management in the Amazon Quick User Guide. 

 

​Amazon Quick now enables administrators to set per-user limits on index storage and agent hours, giving them direct control over subscription costs. With limits management, administrators can create limit profiles that cap per-user consumption, helping prevent unexpected overage charges and ensuring subscription entitlements are used efficiently across their organization.
For example, an organization deploying Quick enterprise-wide to thousands of users can set account-level limit profiles to establish cost-predictable baselines, then assign higher limits to specific roles that require more agent hours. Administrators can create and assign limit profiles at the user, role, or account level, with a priority hierarchy that ensures the right users get the right capacity. When a user reaches their limit, new consumption is blocked while existing content is preserved.
This feature is available for Professional and Enterprise plans, in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table.
Learn more about Amazon Quick by visiting the Quick website. To learn more about limit profiles, see Limits management in the Amazon Quick User Guide.   

Amazon Quick now integrates with Microsoft Purview to enforce data loss prevention (DLP) policies across your Quick environment. Organizations need to ensure that sensitive files aren’t shared outside approved channels. With this integration, IT administrators and security teams can apply their existing Purview sensitivity labels to automatically control how files are handled in Quick capabilities such as chat, spaces, and knowledge bases.

Administrators can configure enforcement actions (block, warn, or allow) for each sensitivity label, giving organizations granular control over sensitive file sharing across Quick. For example, a financial services company can block files labeled «Highly Confidential» from being uploaded to shared spaces while allowing «Internal» files with a warning notification. With this integration, customers can extend their existing Microsoft Purview governance policies into Quick without additional tools.

This feature is available in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table. To learn more, see Data loss prevention in the Amazon Quick User Guide. 

 

​Amazon Quick now integrates with Microsoft Purview to enforce data loss prevention (DLP) policies across your Quick environment. Organizations need to ensure that sensitive files aren’t shared outside approved channels. With this integration, IT administrators and security teams can apply their existing Purview sensitivity labels to automatically control how files are handled in Quick capabilities such as chat, spaces, and knowledge bases.
Administrators can configure enforcement actions (block, warn, or allow) for each sensitivity label, giving organizations granular control over sensitive file sharing across Quick. For example, a financial services company can block files labeled «Highly Confidential» from being uploaded to shared spaces while allowing «Internal» files with a warning notification. With this integration, customers can extend their existing Microsoft Purview governance policies into Quick without additional tools.
This feature is available in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table. To learn more, see Data loss prevention in the Amazon Quick User Guide.   

Amazon Quick now offers approval policies, giving administrators governance controls over how assets are shared within their organization. With approval policies, administrators can require designated approvers to review and approve share requests before access is granted, helping organizations ensure that sharing of sensitive assets is deliberate, compliant, and auditable.

Administrators can create approval policies scoped to specific asset types, including knowledge bases, spaces, and custom chat agents. When a user submits a share request for an asset covered by a policy, it is routed to the assigned approver group for review. Approvers can evaluate the asset directly before approving or denying the request, and all workflow events are captured in AWS CloudTrail for full auditability. For custom chat agents, approvers can review and act on the entire dependency package in a single request.

This feature is available for Professional and Enterprise plans, in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table.

Learn more about Amazon Quick by visiting the Quick website. To learn more about approval policies, see Approval policies in the Amazon Quick User Guide. 

 

​Amazon Quick now offers approval policies, giving administrators governance controls over how assets are shared within their organization. With approval policies, administrators can require designated approvers to review and approve share requests before access is granted, helping organizations ensure that sharing of sensitive assets is deliberate, compliant, and auditable.
Administrators can create approval policies scoped to specific asset types, including knowledge bases, spaces, and custom chat agents. When a user submits a share request for an asset covered by a policy, it is routed to the assigned approver group for review. Approvers can evaluate the asset directly before approving or denying the request, and all workflow events are captured in AWS CloudTrail for full auditability. For custom chat agents, approvers can review and act on the entire dependency package in a single request.
This feature is available for Professional and Enterprise plans, in all AWS Regions where Amazon Quick agentic capabilities are supported. For more information, see the AWS Region table.
Learn more about Amazon Quick by visiting the Quick website. To learn more about approval policies, see Approval policies in the Amazon Quick User Guide.   

Amazon Relational Database Service (Amazon RDS) for Oracle now supports Oracle Application Express (APEX) version 26.1. Amazon RDS for Oracle is a managed database service that makes it simple to set up, operate, and scale Oracle Database deployments in the cloud. Oracle APEX is a low-code development platform that enables developers to build scalable, secure enterprise applications with modern user interfaces. To learn more about the latest features of Oracle APEX 26.1, see Oracle’s APEX Release 26.1 documentation.

For more details on supported Oracle APEX versions and how to add or modify Oracle APEX options for your RDS for Oracle database, visit the Amazon RDS for Oracle APEX Documentation.

Oracle APEX version 26.1 is available in all AWS regions where Amazon RDS for Oracle is available. See Amazon RDS for Oracle Pricing for regional availability.

 

​Amazon Relational Database Service (Amazon RDS) for Oracle now supports Oracle Application Express (APEX) version 26.1. Amazon RDS for Oracle is a managed database service that makes it simple to set up, operate, and scale Oracle Database deployments in the cloud. Oracle APEX is a low-code development platform that enables developers to build scalable, secure enterprise applications with modern user interfaces. To learn more about the latest features of Oracle APEX 26.1, see Oracle’s APEX Release 26.1 documentation.
For more details on supported Oracle APEX versions and how to add or modify Oracle APEX options for your RDS for Oracle database, visit the Amazon RDS for Oracle APEX Documentation.
Oracle APEX version 26.1 is available in all AWS regions where Amazon RDS for Oracle is available. See Amazon RDS for Oracle Pricing for regional availability.  

Amazon Simple Email Service (SES) now makes it easier to support mobile deep linking with the new ses:custom-path HTML attribute. When you add this attribute to an <a> tag, SES carries your path segment through to the tracking URL, so mobile operating systems can match it to your app’s Universal Links (iOS) or App Links (Android) configuration. This enables you to use mobile deep linking without disabling engagement tracking.

This feature is available in all AWS Regions where Amazon SES is available. To use this feature, you need a custom redirect domain for click tracking with an Apple App Site Association (AASA) or Digital Asset Links verification file hosted on that domain. Then, add the ses:custom-path attribute to links in your HTML emails.

To learn more, see Configuring custom domains to handle open and click tracking and the Amazon SES email sending metrics FAQs in the Amazon SES Developer Guide.

 

​Amazon Simple Email Service (SES) now makes it easier to support mobile deep linking with the new ses:custom-path HTML attribute. When you add this attribute to an <a> tag, SES carries your path segment through to the tracking URL, so mobile operating systems can match it to your app’s Universal Links (iOS) or App Links (Android) configuration. This enables you to use mobile deep linking without disabling engagement tracking.
This feature is available in all AWS Regions where Amazon SES is available. To use this feature, you need a custom redirect domain for click tracking with an Apple App Site Association (AASA) or Digital Asset Links verification file hosted on that domain. Then, add the ses:custom-path attribute to links in your HTML emails.
To learn more, see Configuring custom domains to handle open and click tracking and the Amazon SES email sending metrics FAQs in the Amazon SES Developer Guide.  

• Categoría: Company News

agosto 14, 2026

Enseñar a la IA a hablar el lenguaje de la patología

Publicado en Microsoft Signal.

La inteligencia artificial ya ayuda a los clínicos a detectar patrones en imágenes de diagnóstico y a detectar signos de enfermedad. Pero muchos de los sistemas actuales de IA en patología están diseñados para una sola tarea y deben reconstruirse para cada nueva aplicación.

Un estudio publicado de manera reciente en Nature Medicine  describe un enfoque diferente orientado a avanzar en la investigación en este campo. Investigadores de Microsoft Research y Paige, ahora parte de Tempus, desarrollaron PRISM2, un modelo fundamental de patología entrenado tanto en imágenes de tejidos como en lenguaje basado en informes reales de patología. El objetivo era ayudar a la IA a aprender de la gran cantidad de datos textuales disponibles y crear un sistema que pudiera apoyar la investigación y desarrollo en patología futura.

En las pruebas, el modelo igualó o superó el rendimiento de sistemas especializados de detección de cáncer en varias tareas de referencia, incluidos el cáncer de próstata, cáncer de mama y detección de metástasis de ganglios linfáticos mamarios. Es importante destacar que los investigadores informaron de estos resultados sin crear un modelo separado para cada tarea.

Los pesos completos del modelo PRISM2 están disponibles de manera pública para su uso de investigación en Hugging Face aquí y aquí.

Por qué es importante

La patología está en el centro de muchos diagnósticos de cáncer. Los patólogos examinan muestras de tejido y elaboran informes que guían las decisiones de tratamiento. A medida que la sanidad genera mayores volúmenes de datos, los investigadores han explorado cómo la IA puede ayudar a los clínicos a tomar estas decisiones e incluso aportar nuevas perspectivas.

La mayoría de los sistemas de IA para patología hoy en día están diseñados para un único propósito, como detectar un tipo concreto de cáncer. PRISM2 se desarrolló como un esfuerzo de investigación para apoyar una gama más amplia de tareas mediante un único modelo que puede responder a prompts y preguntas. Los investigadores afirman que esto podría facilitar la construcción y adaptación de futuras herramientas de patología sin empezar de cero para cada nueva aplicación.

Cómo funciona

La idea central detrás de PRISM2 es que la patología no es solo una disciplina visual. También es una lengua impulsada por el lenguaje.

Para entrenar el modelo, los investigadores emparejaron imágenes de patología con información derivada de informes de patología, para crear millones de ejemplos de preguntas y respuestas que ayudaron a conectar hallazgos visuales con el lenguaje diagnóstico. El modelo resultante puede funcionar solo con imágenes o con imágenes y texto, lo que permite a los usuarios interactuar con él mediante prompts, en lugar de depender solo de software específico para cada tarea.

Este enfoque difiere de muchos modelos fundamentales de patología anteriores, que se centraban en aprender representaciones visuales a partir de imágenes. PRISM2 fue diseñado desde el principio para vincular patrones visuales en los tejidos con el lenguaje que utilizan los clínicos al hacer diagnósticos.

Imagen principal creada con Microsoft Copilot.

Etiquetas:

• IA
• Salud

The post Enseñar a la IA a hablar el lenguaje de la patología appeared first on Source LATAM.

 

​The post Enseñar a la IA a hablar el lenguaje de la patología appeared first on Source LATAM.  

Amazon Redshift now offers rg.large and rg.12xlarge instance sizes for RG instances in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. RG instances deliver better performance, running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift’s custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes, enabling you to run SQL analytics across your data warehouse and data lake using a single engine.

rg.large and rg.12xlarge instance sizes are available on patch version P202 and later. Customers can resize existing RG or RA3 clusters to these new instance sizes using Elastic Resize or Classic Resize. Customers with existing RA3 clusters can also upgrade to RG using Snapshot & Restore.

RG instances are available in four instance sizes: rg.large, rg.xlarge, rg.4xlarge, and rg.12xlarge. RG instances are available with flexible pricing options, including On-Demand, and 1-year and 3-year Reserved Instances with All Upfront, Partial Upfront, and No Upfront payment options. For pricing details, visit the  Amazon Redshift pricing page .

 

To get started, refer to the following resources:

•  Amazon Redshift RG Instance Documentation

•  RA3 to RG Upgrade Guide

•  Amazon Redshift Pricing

 

​Amazon Redshift now offers rg.large and rg.12xlarge instance sizes for RG instances in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. RG instances deliver better performance, running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift’s custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes, enabling you to run SQL analytics across your data warehouse and data lake using a single engine.
rg.large and rg.12xlarge instance sizes are available on patch version P202 and later. Customers can resize existing RG or RA3 clusters to these new instance sizes using Elastic Resize or Classic Resize. Customers with existing RA3 clusters can also upgrade to RG using Snapshot & Restore.
RG instances are available in four instance sizes: rg.large, rg.xlarge, rg.4xlarge, and rg.12xlarge. RG instances are available with flexible pricing options, including On-Demand, and 1-year and 3-year Reserved Instances with All Upfront, Partial Upfront, and No Upfront payment options. For pricing details, visit the  Amazon Redshift pricing page .
 
To get started, refer to the following resources:

 Amazon Redshift RG Instance Documentation

 RA3 to RG Upgrade Guide

 Amazon Redshift Pricing  

AWS Billing and Cost Management (BCM) Dashboards now include Managed Dashboards. These are a collection of preconfigured and read-only dashboards located in your dashboard list. They deliver actionable cost insights with your account data pre-populated without setup. 

There are five curated dashboards. Cost Overview & Trends tracks your spending patterns across services, accounts, and regions over 12 months with forward-looking forecasts. Compute and Database dashboards show your spend pattern within each service category, pairing cost breakdowns with relevant commitment coverage and utilization metrics in a single view. Reservations and Savings Plans dashboards show how well your purchased commitments are performing across all eligible services, quantifying gaps and underutilization in monetary terms. 

All managed dashboards are read-only and maintained by AWS. You can duplicate any dashboard to create a fully editable custom copy, add individual widgets to your existing dashboards, and export via PDF or CSV. Whether you are starting your FinOps journey or looking for a standardized baseline across accounts, Managed Dashboards give you cost visibility without setup so you can focus on analysis and action rather than configuration. 

AWS Managed Dashboards are available in all commercial AWS Regions at no additional cost. To get started, navigate to Dashboards in the AWS Billing and Cost Management console or view the user guide. 

 

​AWS Billing and Cost Management (BCM) Dashboards now include Managed Dashboards. These are a collection of preconfigured and read-only dashboards located in your dashboard list. They deliver actionable cost insights with your account data pre-populated without setup. 
There are five curated dashboards. Cost Overview & Trends tracks your spending patterns across services, accounts, and regions over 12 months with forward-looking forecasts. Compute and Database dashboards show your spend pattern within each service category, pairing cost breakdowns with relevant commitment coverage and utilization metrics in a single view. Reservations and Savings Plans dashboards show how well your purchased commitments are performing across all eligible services, quantifying gaps and underutilization in monetary terms. 
All managed dashboards are read-only and maintained by AWS. You can duplicate any dashboard to create a fully editable custom copy, add individual widgets to your existing dashboards, and export via PDF or CSV. Whether you are starting your FinOps journey or looking for a standardized baseline across accounts, Managed Dashboards give you cost visibility without setup so you can focus on analysis and action rather than configuration. 
AWS Managed Dashboards are available in all commercial AWS Regions at no additional cost. To get started, navigate to Dashboards in the AWS Billing and Cost Management console or view the user guide.   

AWS Client VPN introduces a rebuilt AWS VPN Client v6.0.x which offers new features like command-line interface (CLI) support, enterprise administrative controls, and faster connection establishment time, making it easier you to automate VPN connectivity and centralize device management across your organization.

The AWS VPN Client CLI provides full feature parity with the GUI. You can now script VPN connections into your automation workflows and infrastructure-as-code deployments. Previously, integrating VPN connectivity into automated environments required third-party tooling or manual intervention. This feature eliminates that by supporting background CLI operations. Previously, you had to distribute VPN profiles among all users in your organization, which could be managed by any user without permissions. Now, with administration controls on AWS client, you can centralize VPN policy enforcement by scoping profiles to specific users, manage global profiles available to all users on a device, and enforce approved VPN configurations across your organization.

The client is rebuilt with OpenVPN3, delivering faster connection establishment across all supported operating systems. You can use both the GUI and CLI together as both run concurrently and VPN connections persist independently of either interface. The rebuilt client v6.0 onwards maintains full backward compatibility with existing AWS Client VPN endpoints, so no endpoint changes are required. The updated AWS VPN Client is available today for Windows (x64/ARM), macOS (x64/ARM), and Linux (x64). There are no additional charges beyond standard pricing of AWS Client VPN. Download the latest client version 6.0.x for macOS, Windows and Linux to start using it. 

To learn more about Client VPN, visit the AWS Client VPN product page or read the documentation.

 

​AWS Client VPN introduces a rebuilt AWS VPN Client v6.0.x which offers new features like command-line interface (CLI) support, enterprise administrative controls, and faster connection establishment time, making it easier you to automate VPN connectivity and centralize device management across your organization. The AWS VPN Client CLI provides full feature parity with the GUI. You can now script VPN connections into your automation workflows and infrastructure-as-code deployments. Previously, integrating VPN connectivity into automated environments required third-party tooling or manual intervention. This feature eliminates that by supporting background CLI operations. Previously, you had to distribute VPN profiles among all users in your organization, which could be managed by any user without permissions. Now, with administration controls on AWS client, you can centralize VPN policy enforcement by scoping profiles to specific users, manage global profiles available to all users on a device, and enforce approved VPN configurations across your organization. The client is rebuilt with OpenVPN3, delivering faster connection establishment across all supported operating systems. You can use both the GUI and CLI together as both run concurrently and VPN connections persist independently of either interface. The rebuilt client v6.0 onwards maintains full backward compatibility with existing AWS Client VPN endpoints, so no endpoint changes are required. The updated AWS VPN Client is available today for Windows (x64/ARM), macOS (x64/ARM), and Linux (x64). There are no additional charges beyond standard pricing of AWS Client VPN. Download the latest client version 6.0.x for macOS, Windows and Linux to start using it.  To learn more about Client VPN, visit the AWS Client VPN product page or read the documentation.  

AWS GovCloud (US) now offers Claude Opus 5 — the most advanced Opus model yet, and compatible with zero data retention (ZDR) — bringing a step-change in coding, long-running agents, and complex professional work to teams building at the highest level. Claude Opus 5 is available via the bedrock-runtime endpoint in both AWS GovCloud (US) regions, and available via the bedrock-mantle endpoint in AWS GovCloud (US-West)

Claude Opus 5 delivers advances in coding, understanding and navigating codebases like an experienced engineer and writing production-quality code while adapting its strategy as it works. It powers dependable agents that run for hours and even overnight, finding paths around obstacles, recovering from errors, and reaching their objectives. And it brings deeper reasoning to long documents and higher accuracy to complex analysis, with the largest gains on document-heavy enterprise work. 

Amazon Bedrock offers Claude Opus 5 with zero data retention (ZDR) enabled by default, giving you Opus’ top-tier intelligence while meeting your data governance requirements. It keeps your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.

 

​AWS GovCloud (US) now offers Claude Opus 5 — the most advanced Opus model yet, and compatible with zero data retention (ZDR) — bringing a step-change in coding, long-running agents, and complex professional work to teams building at the highest level. Claude Opus 5 is available via the bedrock-runtime endpoint in both AWS GovCloud (US) regions, and available via the bedrock-mantle endpoint in AWS GovCloud (US-West)
Claude Opus 5 delivers advances in coding, understanding and navigating codebases like an experienced engineer and writing production-quality code while adapting its strategy as it works. It powers dependable agents that run for hours and even overnight, finding paths around obstacles, recovering from errors, and reaching their objectives. And it brings deeper reasoning to long documents and higher accuracy to complex analysis, with the largest gains on document-heavy enterprise work. 
Amazon Bedrock offers Claude Opus 5 with zero data retention (ZDR) enabled by default, giving you Opus’ top-tier intelligence while meeting your data governance requirements. It keeps your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.