AWS for Industries

Category: Amazon SageMaker HyperPod

Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery

Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery

In this blog post, learn how at the 2026 AWS Life Sciences Symposium earlier this month, leaders from Sanofi, Genentech, Noetik, Apheris, Bristol Myers Squibb, Memorial Sloan Kettering, and more demonstrated how they’re using agentic AI today to accelerate scientific discovery and improve patient outcomes.

Building an End-to-End Physical AI Data Pipeline for Autonomous Vehicle 3.0 on AWS with NVIDIA

Building an End-to-End Physical AI Data Pipeline for Autonomous Vehicle 3.0 on AWS with NVIDIA

Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]

AWS reInvent 2025 Recap for Automotive and Manufacturing

AWS re:Invent 2025 Recap for Automotive and Manufacturing

AWS re:Invent 2025, our flagship annual conference, took place December 1–5, 2025, delivering five days of keynotes, breakout sessions, product announcements, and live demos, introducing several new services and features. This recap focuses on the most relevant highlights for automotive and manufacturing: the core announcements, real-world customer examples, and featured demos. Everything is organized by […]

AWS re:Invent 2024 recap for the Automotive Industry

AWS re:Invent 2024 recap for the Automotive Industry

AWS re:Invent 2024 unveiled game-changing innovations powering the automotive future – autonomous driving breakthroughs, connected vehicle insights, generative AI assistants, sustainable supply chains, and legacy system modernization.