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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 AWS Trainium Frontier competition: Co-design models and kernels on purpose-built AI chips 34 Amazon Research Awards Build on Trainium recipients announced How controllers from industrial machinery can coordinate multitask machine learning A new benchmark for evaluating patient-facing health AI agents Amazon is investing in the Lean Focused Research Organization Amazon and University of Michigan give robots a sense of touch Capturing token IDs during agentic interactions for better reinforcement learning How Amazon tracks carbon intensity across its operations The fuel of the future is already here: Why TRISO matters AWS Graviton5: How a new chiplet architecture delivers 25% better performance - Amazon Science How formal verification makes AWS Nitro the first formally verified cloud hypervisor - Amazon Science Four approaches to grounding AI agents in the physical world - Amazon Science Bridging intent and execution in agentic systems - Amazon Science Ground truth is a process, not a dataset - Amazon Science How flat is replacing fat in AWS data center networks - Amazon Science Amazon Research Awards recipients announced - Amazon Science Training LLMs to reason in oarallel: How global forking tokens improve accuracy - Amazon Science New scaling law connects LLM architecture to inference efficiency, boosting throughput up to 47% - Amazon Science Promptimus: Improving already good LLM prompts with zero manual engineering - Amazon Science How Amazon optimizes middle-mile delivery networks under uncertainty - Amazon Science How mechanism design theory helps optimize Amazon-vendor collaboration - Amazon Science Inside Amazon's responsible-AI pipeline - Amazon Science How to train AI on private data without exposing it - Amazon Science How catastrophic is your LLM? A statistical framework for certifying conversational risk - Amazon Science Isabelle/HOL: The proof assistant behind the Nitro Isolation Engine - Amazon Science
Intelligence isn’t about parameter count. It’s about time...
Stefano Soatto, Alessandro Achille · 2026-02-25 · via Amazon Science homepage
As AI models grow larger, they become less insightful, not more. To ensure that they continue to learn, we ne…

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