Amazon Science

TorchNeuron is now open source. Our new @pytorch.org backend translates code into operations executable on AWS Trainium with minimal or no code changes. Learn how the team used AI agents and hundreds of thousands of models to validate it.

New AWS research introduces priming, a method that reduces pretraining costs for hybrid architectures by over 99% by leveraging pretrained Transformer weights, saving trillions of tokens and hundreds of thousands of GPU-hours.

A great week with the language modeling community at @colmweb.org. Thanks to everyone who connected with our team. See you next year! #COLM2026

🎤 Can you out-rhyme the AI agent? Stop by the Amazon booth at @colmweb.org for a live AI rap battle demo, plus talks on multi-agent systems and responsible AI for science: https://amzn.to/4jsMYKM #COLM2026

AI-powered smart glasses that guide delivery drivers from van to the customer's doorstep, hands-free. Hear from Amazon applied scientist Yelin Kim on the computer vision and edge AI behind it at @colmweb.org. #COLM2026.

Amazon Scholar and UT Austin professor @mattlease.bsky.social explores how to harness AI for scientific discovery while assessing potential risks. Catch his Expo Talk at @colmweb.org Thursday at 1pm PT. #COLM2026

Day 2 at @colmweb.org. Stop by the Amazon booth for talks on multi-agent orchestration, visual reasoning, and LLM agent evaluation: https://amzn.to/4jsMYKM #COLM2026

Looking forward to presenting this talk on Responsible AI for Science on Thursday at the 3rd Annual Conference on Language Modeling (COLM)! @colmweb.org #colm2026 @amazon.science @nsfsimonscosmicai.bsky.social @texasscience.bsky.social @utaustin.bsky.social

Day 1 at @colmweb.org. We're here all week with live research talks, meet-the-scientist sessions, and conversations on what's next for language models. Stop by the Amazon booth. #COLM2026 More info: https://amzn.to/4jsMYKM

"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 SemiAnalysis founder Dylan Patel at #AIInfraSummit:

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.

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.

A blog post on some neat work with @zstevenwu.bsky.social and Martin Bertran: www.amazon.science/blog/why-don...

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.

How did a model upgrade make agents worse? By pairing real enterprise SOPs with functioning tools and ground-truth grading across 12 industries and 2,000+ tasks, SOP-Bench helps find such anomalies.

Amazon's Automated Reasoning Group started by demoing tools to prove AWS systems secure and correct. A decade later, they have proved the Nitro Isolation Engine, cryptographic code, and S3 correct. Now they are applying the same techniques to AI.

🎉 Congratulations to A/Prof. Wei Bao, one of the 34 recipients of the Amazon "Build on Trainium" Research Award! Wei will explore the Trainium architecture for "FACTOR: Federated Adversarial Co-Training with Textual Gradient for LLM Security and Robustness." www.amazon.science/research-awa...

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

📣 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:

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

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/4vUsCg9

Turnstile is an open-source Rust proxy that records token-native rollout data for agentic RL. Harness stays unchanged. Trainer gets exact token IDs, log probs, and loss masks.

🎉 The Chronos family of models has reached 1 billion downloads on Hugging Face: https://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.

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:

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!

Consider this your green light to swing by our #ICML2026 booth today and grab swag.

If you haven't stopped by our booth yet, come find us before the #ICML2026 exhibit wraps up — more research talks and opportunities to connect with our scientists today. Full schedule: https://amzn.to/3SQwSPZ

Amazon researchers have accepted papers at #ICML2026 spanning machine learning, causal reasoning, LLM inference, agentic systems, vision-language models, graph learning, robotics, and more. Explore the full list:

Another great day ahead at #ICML2026. Stop by our booth for research talks, a chance to meet our scientists, and to explore opportunities at Amazon. Full schedule: https://amzn.to/4f3pSGP

We're looking forward to connecting with the machine learning community at #ICML! We have talks happening at our booth all week, plus a chance to connect 1:1 with our researchers. Full schedule: https://amzn.to/3SBXPXA #ICML2026

We're open at @icmlconf.bsky.social! Find us at booth B207 for live demos, time with our scientists, and a chance to learn about opportunities at Amazon. #ICML2026

Attending #ICML2026? Our booth is packed with talks and opportunities to connect with our scientists, covering agentic AI, LLM training, reinforcement learning, and more. Check out the full schedule: https://amzn.to/4p2LgAy

Amazon researchers have accepted papers at @icmlconf.bsky.social spanning machine learning, causal reasoning, LLM inference, agentic systems, vision-language models, graph learning, robotics, and more. Explore the full list. #ICML2026

Amazon's latest machine learning research is headed to Seoul. We'll be at ICML with accepted papers, live demos, and researchers presenting across agentic AI, robotics, and more: https://amzn.to/4vHY5CJ #ICML2026

Amazon has reduced carbon intensity per unit shipped by 39% since 2019. Carbon-free energy, smarter routing, lighter packaging, and electric vehicles are translating into real per-unit reductions:

Attending ICML? Amazon is hosting a mixer on July 8. Come meet the team and hear what we're working on. #ICML2026

TRISO nuclear fuel particles are the size of a poppy seed. Three ceramic layers act as a miniature containment system, sealing radioactive byproducts at the source.

The biggest AI breakthroughs are still ahead of us. At @vivatech.bsky.social, Peter DeSantis, Amazon’s head of AI, chips, and quantum, said transformers won’t be the last architecture, and that chips and models have to evolve in lockstep to get there.

Another great CVPR in the books. We enjoyed connecting with the computer vision community and sharing our latest work. Thank you to everyone who engaged with our team. #CVPR2026 @cvprconference.bsky.social

Amazon researchers release Simple Strands Agent (SSA), a lightweight, open-source harness that achieves SOTA across SWE-Bench-Verified, SWE-Bench-Pro, and Terminal-Bench2 by closing the gap between what models intend and what harnesses execute.

#CVPR2026 ✅

The first formally verified hypervisor is now deployed in a commercial cloud. The Nitro Isolation Engine is generally available today on Graviton5, backed by 330,000 lines of machine-checked mathematics:

Graviton5 is now generally available. 192 cores, four-chiplet architecture, DDR5-8800, PCIe gen6, and 25% better performance than Graviton4 for general-purpose and agentic AI workloads:

Another great CVPR in the books. We enjoyed connecting with the computer vision community and sharing our latest work. Thank you to everyone who engaged with our team. #CVPR2026 @cvprconference.bsky.social

It's been an incredible week at #CVPR2026! If you haven't stopped by our booth yet, come say hi to our team at booth 349.

Our scientists are presenting at poster sessions throughout #CVPR2026, covering computer vision, multimodal AI, and image retrieval. Find us on the floor and explore our research: https://amzn.to/4erUtP7

Don't miss what's happening at our #CVPR2026 booth the rest of the week. Live demos, technical deep dives, and conversations with our researchers – here's the full schedule:

Today is CVPR Denver with AWS/Amazon. And it's all about Computer Vision. Something I haven't spent a lot of time with but decided to see how I could apply #serverless. Here is what I came up with. Check it out & if you're at CVPR come see me at the Amazon booth after 2! edjgeek.com/blog/9-tiles...

Amazon researchers have accepted papers at @cvprconference.bsky.social spanning visual reasoning, agentic AI, multimodal LLMs, reinforcement learning, and image generation. #CVPR2026

We're officially open at @cvprconference.bsky.social! Stop by booth 349 for live demos, conversations with our researchers, and a look at what we're building at Amazon. #CVPR2026