Using the Neuron Kernel Interface, @reactorworld and Amazon's Neuron Science team built a kernel-centric path to real-time autoregressive diffusion video generation on Trainium. They tackled the dynamic shapes, memory access patterns, and cache management that make these workloads hard for generic compilers, and built techniques that generalize across models. amazon.science/blog/a-kernel…

"One workload is power-bound. The next workload is memory-bandwidth-bound. The next is memory-bound. It's one of the most interesting hardware design problems that we've seen in ages." Amazon SVP Peter DeSantis sat down with @dylan522p of @SemiAnalysis_ at #AIInfraSummit: aboutamazon.com/news/innovat…

The most durable skill in the age of AI isn’t any single technology. It’s learning. I was back at @Stanford last week celebrating the Stanford-Amazon Research Initiative, bringing our researchers together to work on hard problems across AGI, robotics, healthcare and more. Excited to see what we learn and solve together.

Amazon Bio Discovery developed three AI approaches to accelerate antibody drug design: MochiBind (sequence-based affinity ranking), CA-MAP (developability prediction with batch effect correction), and an agent-guided design system with 46 lab-validated hits against a novel cancer target. amazon.science/blog/advancin…

Years of iterating against the same benchmarks should, by textbook logic, produce overfitting. It largely doesn't. New research explains why: strategies that generalize can be expressed in too compact a form to allow memorization, while the ones that overfit don't survive a compression bottleneck. amazon.science/blog/why-dont…

.@Amazon and @DARPA brought together 150+ researchers in Seattle last week, with speakers including @awscloud CEO @mattsgarman, Fields Medalist @TaoistTerence, @EPrinceton Associate Professor @BorisHanin, and @NSAGov's Michael O'Hara to explore how AI is transforming mathematical discovery and reasoning.

Amazon Redshift researchers were awarded Best Paper Runner-Up: Industrial Track at @VLDBconf for eliminating compilation cold starts in query execution – cutting compilation time from seconds to milliseconds with a 7x speedup on TPC-DS benchmarks. #VLDB2026 amazon.science/publications/…

When LLM judges agree, the right question is why. Shared prompts, model families, or training lineage can make a majority look stronger than it is. Dependence-aware aggregation via Ising models accounts for this, improving accuracy 9–14% over weighted majority vote. amazon.science/blog/when-llm…

📣 AWS Trainium Frontier is open for registration. Train language models from scratch on purpose-built AI chips for @NeurIPSConf. Prizes include $25K for first place, co-publication with Annapurna Labs researchers, and a presentation in Sydney. Deadline is September 30. #NeurIPS2026 amazon.science/news/aws-trai…

Attending #KDD2026? Come meet Amazonians and fellow attendees at our mixer. Spots are limited – request to attend: luma.com/8xar6jx9

📣 Amazon Research Awards announces the 34 recipients of the Build on Trainium program, a $110M credit initiative supporting AI research at 30 universities on AWS Trainium: amazon.science/research-awar…

Training a graph neural network on multiple objectives usually means blending conflicting gradients at every step. Instead of compromising among parameter updates from different training objectives, ControlG allocates capacity to objectives sequentially and dynamically via PID control. #ICML2026 amazon.science/blog/how-cont…

Most healthcare AI benchmarks test static medical knowledge or evaluate tool-using agents on provider-facing tasks. PatientAgentBench generates synthetic patient records and clinical vignettes, then runs multiturn dual-agent conversations scored by an LLM-as-a-jury panel across over 100 clinician-vetted criteria. amazon.science/blog/a-new-be…

As AI agents take on higher-stakes decisions, their actions need to be provably correct. Amazon is investing in the Lean FRO to make mathematical proof accessible to every developer: amzn.to/3RY2Dq4

🎉 The Chronos family of models has reached 1 billion downloads on Hugging Face: amzn.to/3YBkfZl Chronos-2 handles univariate, multivariate, and covariate-informed forecasting in a zero-shot manner, outperforming existing time series foundation models by a substantial margin. amazon.science/blog/introduc…

HydroShear is a new physics-based simulator that teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers seamlessly to the real world. @UMRobotics amazon.science/blog/amazon-a…

What a week. #ICML2026 brought together some of the best minds in machine learning, and we were proud to be part of it. Thank you to everyone who joined us in Seoul. See you next year! @icmlconf

Only 0.7% of submissions to #ICML2026 were selected for oral presentation — and Amazon Scholar Usman Khan's research on scalable multi-agent path finding is one of them. Check out the paper: amzn.to/4gtcxKd