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60 articles

NEWReactor and Amazon Optimize Real-Time Video Generation on Trainium Using NKI

·2026.09.25 23:00

Amazon Launches AI, Energy, and Healthcare Research Initiative with Stanford

·2026.09.22 04:00

Amazon Releases Three Papers on AI-Based Antibody Design and Evaluation

·2026.09.22 02:00

Why LLM Research Agents Generalize Without Benchmark Overfitting: 'Compressibility' Is Key

·2026.09.11 00:00

Verifying Rust Code with Verus: Amazon Highlights 'Proven Correctness'

·2026.09.01 00:00

Can We Trust LLM Judges When They Agree?

·2026.08.27 02:00

SOP-Bench: A New Benchmark for Evaluating AI Agents on Real-World Business Procedures

·2026.08.22 00:00

A Decade of Mathematical Certainty: A Retrospective on the Automated Reasoning Group

·2026.08.12 01:00

AWS Trainium's Frontier Competition: Co-designing Models and Kernels with Purpose-Built AI Chips

·2026.08.11 05:00

Amazon Announces 34 Winners of Build on Trainium Research Grants

·2026.08.06 00:00

A Method for Coordinating Multitask Machine Learning Using Industrial Control Systems

·2026.07.31 02:00

New Benchmark for Evaluating Patient-Facing Healthcare AI Agents

·2026.07.30 00:00

Amazon and University of Michigan Give Robots a Sense of Touch

·2026.07.11 02:00

How Amazon tracks carbon intensity across its operations

·2026.07.02 00:00

The fuel of the future is already here: why TRISO matters

·2026.06.25 04:00

Graviton5 boosts speed and energy efficiency with improved design — beyond Moore's Law

·2026.06.11 00:00

EC2's Formally Verified 'Isolation Engine' Provides Mathematical Guarantees for Virtual Machine Isolation

·2026.06.11 00:00

Grounding Agentic AI in the Real World

·2026.06.09 04:00

Bridging the Intent-Execution Gap in Agent Systems

·2026.06.09 02:00

Ground truth is a process, not a dataset

·2026.06.04 00:00

AWS Data Center Networks Adopt 'Flat' Structure Instead of 'Fat Tree'

·2026.05.28 19:00

Amazon Research Awards (ARA) Winners Announced

·2026.05.28 02:00

Improving LLM Decision-Making Through Diverse Reasoning Paths

·2026.05.27 00:00

Making LLMs Faster Without Sacrificing Accuracy

·2026.05.15 22:00

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