📣 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:

34 Amazon Research Awards Build on Trainium recipients announced

Amazon announces 34 recipients of the Build on Trainium program, a $110 million credit initiative supporting AI research at 30 universities including Stanford, UC Berkeley, UIUC, UCLA, CMU, and MIT, w...

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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

How controllers from industrial machinery can coordinate multitask machine learning

Instead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.

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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.

Capturing token IDs during agentic interactions for better reinforcement learning

A new Rust proxy called Turnstile sits between the model backend and the agent harness to capture information lost in mere text transcripts.

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🎉 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.

Introducing Chronos-2: From univariate to universal forecasting

In-context learning enables a model that can solve forecasting tasks with an arbitrary number of dimensions in a zero-shot manner.

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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:

ICML 2026

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

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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

ICML 2026

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

amazon.science

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:

How Amazon tracks carbon intensity across its operations

Amazon is developing precise, sector-specific approaches to measuring decarbonization progress — starting with emissions per unit shipped.

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

ICML After Hours by Amazon · Luma

Join Amazon for a relaxed evening mixer just a short walk from the conference. Come unwind with great drinks, easy conversation, and a lively atmosphere as you…

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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.

Amazon's AI SVP on why AI's biggest breakthroughs haven't happened yet

At VivaTech 2026 in Paris, Peter DeSantis argued we're at the starting line of AI development with the most important breakthroughs still ahead.

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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.

Bridging intent and execution in agentic systems

The harnesses that mediate between models and tools in agentic systems are becoming their own performance bottleneck, but a few simple design principles can fix what ails them.

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#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:

EC2’s formally verified “isolation engine” provides mathematical assurance of virtual-machine isolation

Splitting the “separation kernel” off from the rest of the Nitro security system and using only a subset of the Rust programming language to code it enabled its formal verification.

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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...

From 9 Tiles to 900: Scaling Computer Vision Pipelines — edjgeek

Computer vision pipelines are scale problems disguised as orchestration problems. You can solve both with a single function.

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