Publicado el Deja un comentario

Amazon EC2 Auto Scaling expands AWS PrivateLink support to FIPS endpoints

Starting today, Amazon EC2 Auto Scaling (ASG) supports Federal Information Processing Standard (FIPS) 140-3 validated VPC endpoints. With this launch, you can use AWS PrivateLink with ASG for regulated workloads that require secure connections using FIPS 140-3 validated cryptographic modules.

FIPS-compliant endpoints help organizations contracting with the U.S. federal government meet FIPS security requirements for encrypting sensitive data in supported regions. To create a VPC endpoint that connects to an ASG endpoint, see Setting up a VPC endpoint for Amazon EC2 Auto Scaling.

This capability is available in the following regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), and Canada West (Calgary).

For more information about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance. To learn more about Amazon EC2 Auto Scaling, visit the ASG product page.

 

​Starting today, Amazon EC2 Auto Scaling (ASG) supports Federal Information Processing Standard (FIPS) 140-3 validated VPC endpoints. With this launch, you can use AWS PrivateLink with ASG for regulated workloads that require secure connections using FIPS 140-3 validated cryptographic modules. FIPS-compliant endpoints help organizations contracting with the U.S. federal government meet FIPS security requirements for encrypting sensitive data in supported regions. To create a VPC endpoint that connects to an ASG endpoint, see Setting up a VPC endpoint for Amazon EC2 Auto Scaling. This capability is available in the following regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), and Canada West (Calgary). For more information about FIPS 140-3 at AWS, visit FIPS 140-3 Compliance. To learn more about Amazon EC2 Auto Scaling, visit the ASG product page.  

Publicado el Deja un comentario

Amazon Connect dashboards now support filtering and comparing metrics by any time range

Amazon Connect dashboards now supports selecting and comparing any time ranges enabling you to focus on specific, relevant data and perform in-depth analysis up to a maximum of 35 days in the last 3 months. Additionally, you can now select Week to Date and Month to Date time ranges. For example, if a new sales campaign launches at the start of the current week, a contact center manager can compare the current week’s handle time or contact volume with the same time range last week using Week to Date, to decide if additional agents are required to handle the increasing contact volume and maintain service levels.

Amazon Connect Contact Lens dashboards are available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect is offered. To learn more about dashboards, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

 

​Amazon Connect dashboards now supports selecting and comparing any time ranges enabling you to focus on specific, relevant data and perform in-depth analysis up to a maximum of 35 days in the last 3 months. Additionally, you can now select Week to Date and Month to Date time ranges. For example, if a new sales campaign launches at the start of the current week, a contact center manager can compare the current week’s handle time or contact volume with the same time range last week using Week to Date, to decide if additional agents are required to handle the increasing contact volume and maintain service levels. Amazon Connect Contact Lens dashboards are available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect is offered. To learn more about dashboards, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.  

Publicado el Deja un comentario

Cómo la IA reescribe de manera silenciosa las reglas de la medicina moderna

septiembre 29, 2025

Cómo la IA reescribe de manera silenciosa las reglas de la medicina moderna

Ilustración grupal estilizada que presenta a 22 personas en arte lineal de tonos pastel, dispuestas en filas superpuestas sobre un fondo blanco. Peter Lee, de Microsoft, aparece en el centro, sirviendo como punto focal de la composición. Cada persona está representada con rasgos faciales detallados y vestimenta formal, lo que sugiere un entorno profesional.

Por: Samantha Kubota, escritora de Microsoft.

Desde el diagnóstico de enfermedades raras hasta la mejora de la experiencia del paciente, la IA transforma la forma en que practicamos la medicina.

En la serie de podcasts «La revolución de la IA en la medicina, revisada», el presidente de Microsoft Research, Peter Lee, se sienta con expertos en ciencias de la salud y la vida para explorar todas las formas en que la IA cambia el juego. Lee y sus invitados explican cómo la IA puede realizar mejoras simples en las experiencias clínicas de hoy, como tomar notas durante las visitas al médico, ayudar a los pacientes a asumir un papel más activo en su atención e incluso acelerar el desarrollo de nuevos medicamentos.

Estas son algunas de las conclusiones de Lee y sus invitados sobre cómo la IA cambia la atención médica.

1. La IA puede ayudar a fortalecer la conexión humana entre los médicos y sus pacientes

La IA no solo puede ayudar a generar respuestas de alta calidad a los mensajes de los pacientes, sino que también puede transmitir «una enorme cantidad de empatía», explica el Dr. Christopher Longhurst en el Episodio 1.

Longhurst, director clínico y de innovación de University of California San Diego Health, dice que los médicos quieren dar respuestas reflexivas a las preguntas de los pacientes y que la IA puede ayudarlos a redactar un punto de partida más rápido, para ayudar a los médicos a responder de manera eficiente y al mismo tiempo preservar el toque humano.  

«Vimos que las respuestas eran dos o tres veces más largas, en promedio, y tenían un tono más empático», dice Longhurst. «Y nuestros médicos nos dijeron que disminuyó la carga cognitiva».

2. La IA puede detectar errores

La IA se puede usar como un «segundo par de ojos» para ayudar a detectar errores como la dosis incorrecta del medicamento. En el episodio 4, la Dra. Roxana Daneshjou, profesora asistente de ciencia de datos biomédicos y dermatología en la Universidad de Stanford, relata una historia personal sobre recibir un resumen después de la visita con una dosis incorrecta de Tylenol para su hijo.

«Yo, como médica, sabía que esta dosis era un error», dice. Le preguntó a AI si había algún error en el resumen, «y dio pistas de que la dosis del medicamento era incorrecta».

3. La IA podría aumentar el acceso a la atención médica en regiones desatendidas

La IA podría desempeñar un papel fundamental cuando no hay ningún médico disponible. En el episodio 7, el cofundador de Microsoft y presidente de la Fundación Gates, Bill Gates, explica que debemos asegurarnos de que en los países de bajos ingresos, «no haya algún retraso» en su adaptación de la atención médica dirigida por IA.

«Creo que ya sea en India o África, habrá lecciones que son valiosas a nivel mundial porque necesitamos inteligencia médica», explica. «Y, ya sabes, gracias a Dios la IA va a proporcionar mucho de eso.»

4. La IA podría comenzar a difuminar los límites entre los campos médicos

La IA podría ayudar a derribar los muros entre las especialidades médicas, como Lee y el Dr. Morgan Cheatham, médico residente del Boston Children’s Hospital, discuten en el Episodio 9: La idea de que si bien los especialistas pueden centrarse en cosas específicas, por ejemplo, los nefrólogos en los riñones, las respuestas de los grandes modelos de lenguaje pueden tener una visión más amplia.

«Me interesa esta cuestión de si las especialidades médicas en sí mismas necesitan evolucionar», dice Cheatham. «Y si miramos hacia atrás en la historia de la tecnología médica, hay muchas ocasiones en las que una nueva tecnología obligó a una especialidad médica a evolucionar».

5. La IA acelera el desarrollo de fármacos

En el episodio 8, Lee y sus invitados discuten cómo la IA desempeña un papel cada vez más importante en la identificación de nuevos objetivos farmacológicos y cómo la tecnología puede ayudar a mejorar el diagnóstico y el tratamiento de enfermedades.

«Puede cambiar de manera fundamental la manera en que pensamos sobre cómo hacer ciencia», explica Noubar Afeyan, fundador y director ejecutivo de Flagship Pioneering y cofundador y presidente de Moderna.

Escuchen la serie de podcasts de la página de inicio «La revolución de la IA en la medicina, revisada» o en Apple Podcasts, Android o Spotify.

Imagen principal: El presidente de Microsoft Research, Peter Lee (al frente, cuarto desde la izquierda) rodeado de invitados en el podcast «The AI Revolution in Medicine, Revisited». (Ilustración de Tetiana Bukhinska y David Celis García)

The post Cómo la IA reescribe de manera silenciosa las reglas de la medicina moderna appeared first on Source LATAM.

 

​The post Cómo la IA reescribe de manera silenciosa las reglas de la medicina moderna appeared first on Source LATAM.  

Publicado el Deja un comentario

Local file redirection is now available on Amazon AppStream 2.0 multi-session fleets

Amazon AppStream 2.0 is enhancing the end-user experience by introducing support for local files redirection on multi-session fleets. While this feature is already available on single-session fleets, this launch extends it to multi-session fleets, helping administrators to leverage the cost benefits of the multi-session model while providing an enhanced end-user experience.

Local file redirection on AppStream helps deliver benefits by enabling seamless access to local files directly from streaming applications, enhancing user productivity and experience. This feature reduces the need for manual file uploads and downloads, providing a natural, desktop-like experience with intuitive drag-and-drop functionality. Users can more efficiently manage their workflows while helping to maintain security through controlled access to local resources and secure file handling between environments.

This feature is available at no additional cost in all the AWS Regions where Amazon AppStream 2.0 is available. AppStream 2.0 offers pay-as-you go pricing. To get started with AppStream 2.0, see Getting Started with Amazon AppStream 2.0.

To enable this feature for your users, you must use an AppStream 2.0 image that uses latest AppStream 2.0 agent or has been updated using Managed AppStream 2.0 image updates released on or after September 05, 2025.

 

​Amazon AppStream 2.0 is enhancing the end-user experience by introducing support for local files redirection on multi-session fleets. While this feature is already available on single-session fleets, this launch extends it to multi-session fleets, helping administrators to leverage the cost benefits of the multi-session model while providing an enhanced end-user experience. Local file redirection on AppStream helps deliver benefits by enabling seamless access to local files directly from streaming applications, enhancing user productivity and experience. This feature reduces the need for manual file uploads and downloads, providing a natural, desktop-like experience with intuitive drag-and-drop functionality. Users can more efficiently manage their workflows while helping to maintain security through controlled access to local resources and secure file handling between environments. This feature is available at no additional cost in all the AWS Regions where Amazon AppStream 2.0 is available. AppStream 2.0 offers pay-as-you go pricing. To get started with AppStream 2.0, see Getting Started with Amazon AppStream 2.0. To enable this feature for your users, you must use an AppStream 2.0 image that uses latest AppStream 2.0 agent or has been updated using Managed AppStream 2.0 image updates released on or after September 05, 2025.  

Publicado el Deja un comentario

AWS Compute Optimizer now supports 99 new Amazon EC2 instance types

AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instances without specialized knowledge or manual analysis.

Compute Optimizer has expanded support to include the latest generation Compute Optimized (C8gn, C8gd), General Purpose (M8i, M8i-flex, M8gd), Memory Optimized (R8i, R8i-flex, R8gd), and Storage Optimized (I8ge) instance types. This expansion enables Compute Optimizer to help you take advantage of the price-to-performance improvements offered by the newest instance types.

This new feature is available in all AWS Regions where Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using Compute Optimizer through the AWS Management Console, AWS CLI, or AWS SDK.

 

​AWS Compute Optimizer now supports 99 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types. These enhancements help you identify additional savings opportunities across your EC2 instances without specialized knowledge or manual analysis. Compute Optimizer has expanded support to include the latest generation Compute Optimized (C8gn, C8gd), General Purpose (M8i, M8i-flex, M8gd), Memory Optimized (R8i, R8i-flex, R8gd), and Storage Optimized (I8ge) instance types. This expansion enables Compute Optimizer to help you take advantage of the price-to-performance improvements offered by the newest instance types. This new feature is available in all AWS Regions where Compute Optimizer is available except the AWS GovCloud (US) and the China Regions. For more information about Compute Optimizer, visit our product page and documentation. You can start using Compute Optimizer through the AWS Management Console, AWS CLI, or AWS SDK.  

Publicado el Deja un comentario

Amazon MSK Connect is now available in five additional AWS Regions

Amazon MSK Connect is now available in five additional AWS Regions: Asia Pacific (Thailand), Asia Pacific (Taipei), Mexico (Central), Canada West (Calgary), and Europe (Spain). MSK Connect enables you to run fully managed Kafka Connect clusters with Amazon Managed Streaming for Apache Kafka (Amazon MSK). With a few clicks, MSK Connect allows you to easily deploy, monitor, and scale connectors that move data in and out of Apache Kafka and Amazon MSK clusters from external systems such as databases, file systems, and search indices. MSK Connect eliminates the need to provision and maintain cluster infrastructure. Connectors scale automatically in response to increases in usage and you pay only for the resources you use. With full compatibility with Kafka Connect, it is easy to migrate workloads without code changes. MSK Connect will support both Amazon MSK-managed and self-managed Apache Kafka clusters.

You can get started with MSK Connect from the Amazon MSK console or the Amazon CLI. Visit the AWS Regions page for all the regions where Amazon MSK is available. To get started visit, the MSK Connect product page, pricing page, and the Amazon MSK Developer Guide.

 

​Amazon MSK Connect is now available in five additional AWS Regions: Asia Pacific (Thailand), Asia Pacific (Taipei), Mexico (Central), Canada West (Calgary), and Europe (Spain). MSK Connect enables you to run fully managed Kafka Connect clusters with Amazon Managed Streaming for Apache Kafka (Amazon MSK). With a few clicks, MSK Connect allows you to easily deploy, monitor, and scale connectors that move data in and out of Apache Kafka and Amazon MSK clusters from external systems such as databases, file systems, and search indices. MSK Connect eliminates the need to provision and maintain cluster infrastructure. Connectors scale automatically in response to increases in usage and you pay only for the resources you use. With full compatibility with Kafka Connect, it is easy to migrate workloads without code changes. MSK Connect will support both Amazon MSK-managed and self-managed Apache Kafka clusters. You can get started with MSK Connect from the Amazon MSK console or the Amazon CLI. Visit the AWS Regions page for all the regions where Amazon MSK is available. To get started visit, the MSK Connect product page, pricing page, and the Amazon MSK Developer Guide.  

Publicado el Deja un comentario

Amazon EBS increases the maximum size and provisioned performance of General Purpose (gp3) volumes

Amazon Elastic Block Store (Amazon EBS) now supports higher volume-level limits for its General Purpose (gp3) volumes. With this update, gp3 volumes can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit).

These expanded limits help reduce operational complexity for storage-intensive workloads by enabling gp3 volumes with larger capacity and higher performance. You can consolidate multiple striped volumes into a single gp3 volume, streamline architectures, and lower management overhead. The increased limits particularly benefit customers running containerized workloads with limited support for striping multiple volumes, applications that rely on single-volume architectures, and growing workloads approaching current gp3 limits. The pricing model remains unchanged: you pay for storage plus any additional IOPS and throughput provisioned beyond the baseline performance.

The new gp3 limits are available in all AWS Commercial Regions and AWS GovCloud (US) Regions where gp3 volumes are available. To get started and learn more, please visit the Amazon EBS user guide.

 

​Amazon Elastic Block Store (Amazon EBS) now supports higher volume-level limits for its General Purpose (gp3) volumes. With this update, gp3 volumes can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit). These expanded limits help reduce operational complexity for storage-intensive workloads by enabling gp3 volumes with larger capacity and higher performance. You can consolidate multiple striped volumes into a single gp3 volume, streamline architectures, and lower management overhead. The increased limits particularly benefit customers running containerized workloads with limited support for striping multiple volumes, applications that rely on single-volume architectures, and growing workloads approaching current gp3 limits. The pricing model remains unchanged: you pay for storage plus any additional IOPS and throughput provisioned beyond the baseline performance. The new gp3 limits are available in all AWS Commercial Regions and AWS GovCloud (US) Regions where gp3 volumes are available. To get started and learn more, please visit the Amazon EBS user guide.  

Publicado el Deja un comentario

AWS Clean Rooms supports incremental ID mapping with AWS Entity Resolution

AWS Clean Rooms now supports incremental processing of rule-based ID mapping workflows with AWS Entity Resolution. This helps you perform real-time data synchronization across collaborators’ datasets with the privacy-enhancing controls of AWS Clean Rooms. With this launch, you can populate ID mapping tables in a Clean Rooms collaboration with only the new, modified, or deleted records since the last analysis. Data collaborators can enable incremental processing for rule-based ID mapping workflows in AWS Entity Resolution, and then update an existing ID mapping table in a collaboration. For example, a measurement provider can maintain up-to-date offline purchase data in a collaboration with an advertiser and a publisher, enabling always-on measurement of campaign outcomes, reduced costs, and maintained privacy controls for all collaboration members.

AWS Entity Resolution is natively integrated within AWS Clean Rooms to help you and your partners more easily prepare and match related customer records. Using rule-based or data service provider-based matching can help you improve data matching for enhanced advertising campaign planning, targeting, and measurement. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about AWS Clean Rooms, visit AWS Clean Rooms.

 

​AWS Clean Rooms now supports incremental processing of rule-based ID mapping workflows with AWS Entity Resolution. This helps you perform real-time data synchronization across collaborators’ datasets with the privacy-enhancing controls of AWS Clean Rooms. With this launch, you can populate ID mapping tables in a Clean Rooms collaboration with only the new, modified, or deleted records since the last analysis. Data collaborators can enable incremental processing for rule-based ID mapping workflows in AWS Entity Resolution, and then update an existing ID mapping table in a collaboration. For example, a measurement provider can maintain up-to-date offline purchase data in a collaboration with an advertiser and a publisher, enabling always-on measurement of campaign outcomes, reduced costs, and maintained privacy controls for all collaboration members. AWS Entity Resolution is natively integrated within AWS Clean Rooms to help you and your partners more easily prepare and match related customer records. Using rule-based or data service provider-based matching can help you improve data matching for enhanced advertising campaign planning, targeting, and measurement. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about AWS Clean Rooms, visit AWS Clean Rooms.  

Publicado el Deja un comentario

Amazon Neptune Analytics is now available in AWS Asia Pacific (Mumbai) Region

Amazon Neptune Analytics is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics.

Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that’s stored in Amazon S3.

To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page.

 

​Amazon Neptune Analytics is now available in the Asia Pacific (Mumbai) Region. You can now create and manage Neptune Analytics graphs in the Asia Pacific (Mumbai) Region and run advanced graph analytics. Neptune Analytics is a memory-optimized graph database engine for analytics. With Neptune Analytics, you can get insights and find trends by processing large amounts of graph data in seconds. To analyze graph data quickly and easily, Neptune Analytics stores large graph datasets in memory. It supports a library of optimized graph analytic algorithms, low-latency graph queries, and vector search capabilities within graph traversals. Neptune Analytics is an ideal choice for investigatory, exploratory, or data-science workloads that require fast iteration for data, analytical and algorithmic processing, or vector search on graph data. It complements Amazon Neptune Database, a popular managed graph database. To perform intensive analysis, you can load the data from a Neptune Database graph or snapshot into Neptune Analytics. You can also load graph data that’s stored in Amazon S3. To get started, you can create a new Neptune Analytics graphs using the AWS Management Console, or AWS CLI. For more information on pricing and region availability, refer to the Neptune pricing page.  

Publicado el Deja un comentario

AWS WAF Targeted Bot Control, Fraud & DDoS Prevention Rule Group available in 3 more regions

Starting today, AWS WAF’s Targeted Bot Control, Fraud, and DDoS Prevention Rule Group are available in the AWS Asia Pacific (Taipei), Asia Pacific (Bangkok), and Mexico (Central) regions. These features help customers to stay protected against sophisticated bots, application layer DDoS and account takeover attacks.

AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.

To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. For more information about the service, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page.

 

​Starting today, AWS WAF’s Targeted Bot Control, Fraud, and DDoS Prevention Rule Group are available in the AWS Asia Pacific (Taipei), Asia Pacific (Bangkok), and Mexico (Central) regions. These features help customers to stay protected against sophisticated bots, application layer DDoS and account takeover attacks.
AWS WAF is a web application firewall that helps you protect your web application resources against common web exploits and bots that can affect availability, compromise security, or consume excessive resources.
To see the full list of regions where AWS WAF is currently available, visit the AWS Region Table. For more information about the service, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page.