Amazon Science Blog

19 articles total

Visit the Amazon Science blog to learn about the latest research and papers from Amazon scientists across artificial intelligence, machine learning, computer vision, quantum, and more.

Can we change an AI model’s architecture without retraining it from scratch?
Graph-centric agentic intelligence
A kernel-centric path to real-time video generation on Trainium
Advancing AI for biology: Teaching models to design and characterize antibodies
Why don’t machine learning research agents overfit?
Developing provably correct Rust code with Verus
When LLM judges agree, should we believe them?
SOP-Bench: A new benchmark for evaluating AI agents on real business procedures
A decade of mathematical certainty: Reflections on the Automated Reasoning Group
How controllers from industrial machinery can coordinate multitask machine learning
A new benchmark for evaluating patient-facing health AI agents
Amazon and University of Michigan give robots a sense of touch
Capturing token IDs during agentic interactions for better reinforcement learning
The fuel of the future is already here: Why TRISO matters
EC2’s formally verified “isolation engine” provides mathematical assurance of virtual-machine isolation
Graviton5’s improved design increases speed and energy efficiency — beyond Moore’s law
Real-world grounding in agentic AI
Bridging intent and execution in agentic systems
Ground truth is a process, not a dataset