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Amazon Science @AmazonScience

The latest news and research from Amazon's science community. #AmazonScience

Joined December 2019
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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: amzn.to/4p2LgAy
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Amazon researchers have accepted papers at @icmlconf spanning machine learning, causal reasoning, LLM inference, agentic systems, vision-language models, graph learning, robotics, and more. Explore the full list. #ICML2026 amazon.science/conferences-a…

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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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: amzn.to/4vHY5CJ #ICML2026
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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: amazon.science/news/how-amaz…

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 luma.com/icml-after-hours

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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Learn more about how Amazon researchers built the Ocelot quantum chip around a scalable, hardware-efficient architecture for quantum error correction: amazon.science/blog/amazon-a…

Amazon announces Ocelot quantum chip

Prototype is the first realization of a scalable, hardware-efficient quantum computing architecture based on bosonic quantum error correction.

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"As soon as you look at it, the game's over." Peter DeSantis, Amazon's head of AI, chips, and quantum, at @VivaTech on why quantum error correction is a fundamentally different problem than classical:
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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. amazon.science/blog/the-fuel…

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

Millimeter-scale particles of nuclear-reactor fuel are encased in four layers of different materials that act as a “miniature containment system”.

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Newly released: a large scale study among 21 models and 138k high-quality agent trajectories: arxiv.org/abs/2606.17454
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The biggest AI breakthroughs are still ahead of us. At @VivaTech, 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. #VivaTech2026 aboutamazon.com/news/innovat…

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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Amazon Science reposted
VivaTech
 @VivaTech
Jun 17
We're still at the starting line 🏁 Peter DeSantis, SVP Foundational AI Models, Custom Silicon & Quantum Computing @AWS, hits the stage at #VivaTech 2026 to share why AI's biggest breakthroughs are still ahead of us 💻
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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. amazon.science/blog/bridging…

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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.@CVPR 2026 ✅
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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: amazon.science/blog/ec2s-for…

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

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: amazon.science/blog/graviton…

Graviton5’s improved design increases speed and energy efficiency — beyond Moore’s law

A new chiplet architecture, custom die-to-die connectivity, and support for DDR5-8800 memory and the latest PCIe gen6 interconnects improve performance by 25% for general-purpose and agentic AI...

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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
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Amazon's Sebastian Hoefer (@hoeferse) discusses his team's work on visual defect detection at @CVPR — including the Kaputt dataset and #CVPR2026 challenge. Learn more about the novel dataset: amzn.to/4oe4nHy
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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.
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Our scientists are presenting at poster sessions throughout @CVPR, covering computer vision, multimodal AI, and image retrieval. Find us on the #CVPR2026 floor and explore our research: amzn.to/43knFBn
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Meet Yelin Kim – she leads computer vision for Amazon's Last Mile team, relocating AI from the cloud to wearables and enabling hands-free delivery with multimodal sensing. Hear more about her work and check out her paper that was selected as a #CVPR2026 highlight: amzn.to/3PJOax5
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