Author: AI Generated Robotic Content

Posted by Sara Ahadi, Research Fellow, Applied Science, and Andrew Carroll, Product Lead, Genomics Aging is a process that is characterized by physiological and molecular changes that increase an individual’s risk of developing diseases and eventually dying. Being able to measure and estimate the biological signatures of aging can help researchers identify preventive measures to …

Read more “Developing an aging clock using deep learning on retinal images”

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. These customers verify user identity by matching the user’s face in a selfie captured by a device camera with a government-issued identity card photo or preestablished profile photo. They …

Read more “Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness”

Missile warnings. Airplane flight statuses. Satellite observation alerts. Much of the U.S. Government’s most critical digital infrastructure is dependent on software built during the Cold War, written in archaic languages (e.g., Fortran, COBOL, ADA), and/or installed exclusively on mainframe computers. While the infrastructure is old and may struggle to keep up with the needs of …

Read more “Safely Modernize Legacy Systems with Palantir Foundry Container Engine (FCE)”

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models using Amazon SageMaker JumpStart. Today, we are excited to introduce a new feature that enables users to inpaint images with Stable Diffusion models. Inpainting refers to the process of replacing a portion of an image with another image …

Read more “Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart”