Category: Artificial Intelligence

The aerospace industry represents one of the most complex regulatory environments for software development, where system failures can result in catastrophic consequences including loss of human life and multibillion-dollar assets. In this blog post, learn how Blue Origin operates within this framework, in which software systems control every aspect of rocket propulsion, navigation, life support, and mission-critical operations.

This blog is the first in a three-part series that explores how AWS is transforming genomic research through democratized data access, sovereign-by-design outbreak intelligence platforms, and population-scale biobanks that enable global collaboration while maintaining data security and privacy.

Learn how the pace of change in AI is reshaping how governments approach national security, economic progress, scientific discovery, and critical infrastructure.

Learn more AWS Imagine for Nonprofits conference that recently marked a milestone: 10 years of bringing together nonprofit leaders, technologists, and mission-driven innovators to explore how technology can accelerate social and environmental impact.

This post outlines an AI-ready framework for use by higher education institutions worldwide. The framework takes a holistic approach to integrating AI across campuses while addressing the critical challenges of data governance, security, academic integrity, workforce readiness, and equity.

In this post, we present a framework for universities to maximize educational outcomes from industry engagements.

Learn how ASI, in collaboration with Amazon Web Services (AWS), is transforming how the aviation industry manages uncertainty, optimizes operations, and reliably maintains safety at scale.

In this blog post, learn more about the AI Adoption Alliance is a collaborative initiative designed to accelerate responsible AI deployment. The alliance, between Amazon Web Services (AWS), the Cities Today Institute, Zensors AI, and NVIDIA, helps airport operators navigate data governance, legacy integration, and use case evaluation to support AI adoption.

AWS provides infrastructure that enables mission and program teams to build and manage their own digital engineering environments with secure, scalable computing resources and tools. This resource supplier relationship delivers value through cost efficiency, simplified management, reliable failover, and streamlined infrastructure operations. In this post, we provide a detailed walkthrough for building a secure and scalable digital engineering environment on AWS.

Learn how student attentiveness and engagement analysis in live classrooms has been addressed with generative AI.