Amazon Science
@amazon.science
📤 212
📥 126
📝 63
The latest news and research from Amazon's science community.
http://www.amazon.science
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.
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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.
https://www.aboutamazon.com/news/innovation-at-amazon/peter-desantis-amazon-ai-vivatech?utm_campaign=amazonscience&utm_source=social&utm_medium=bluesky
3 days ago
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reposted by
Amazon Science
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
#CVPR2026
12 days ago
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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.
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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.
https://www.amazon.science/blog/bridging-intent-and-execution-in-agentic-systems?utm_term=2026-june&utm_campaign=bridging-intent-and-execution-in-agentic-systems&utm_source=bluesky&utm_medium=organic-asw&utm_content=2025-6-12-bridging-intent-and-execution-in-agentic-systems
8 days ago
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#CVPR2026
âś…
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9 days ago
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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:
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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.
https://www.amazon.science/blog/ec2s-formally-verified-isolation-engine-provides-mathematical-assurance-of-virtual-machine-isolation?utm_term=2026-june&utm_campaign=graviton5-ga&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-6-10-graviton5-ga
10 days ago
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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:
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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 worklo...
https://www.amazon.science/blog/graviton5s-improved-design-increases-speed-and-energy-efficiency-beyond-moores-law?utm_campaign=graviton5-ga&utm_medium=organic-asw&utm_source=threads&utm_content=2026-6-10-graviton5-ga&utm_term=2026-june
10 days ago
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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
#CVPR2026
12 days ago
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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.
13 days ago
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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
14 days ago
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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:
14 days ago
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reposted by
Amazon Science
Eric Johnson
15 days ago
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...
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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.
https://edjgeek.com/blog/9-tiles-to-900-cv-pipelines/
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Amazon researchers have accepted papers at
@cvprconference.bsky.social
spanning visual reasoning, agentic AI, multimodal LLMs, reinforcement learning, and image generation.
#CVPR2026
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Amazon Science at CVPR 2026
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.
https://www.amazon.science/conferences-and-events/cvpr-2026?utm_term=2026-june%23event-item-a70012&utm_campaign=cvpr-2026&utm_source=threads&utm_medium=organic-asw&utm_content=cvpr-2026
15 days ago
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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
15 days ago
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We're excited to be back with the computer vision community at
#CVPR2026
. Here's the lineup at our booth ⬇️
15 days ago
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Amazon researchers are participating in workshops across
#CVPR2026
— among them, embodied AI, personalization in generative AI, and medical reasoning with VLMs. Catch them throughout the day.
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Amazon Science at CVPR 2026
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.
https://www.amazon.science/conferences-and-events/cvpr-2026?utm_term=2026-june&utm_campaign=cvpr-2026&utm_source=bluesky&utm_medium=organic-asw&utm_content=cvpr-2026
16 days ago
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Attending
#CVPR2026
in Denver? We'll be at booth 349 showcasing our latest research with live demos throughout the conference. Stop by to meet our scientists and see their work in action. Check out the full booth schedule:
17 days ago
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Next stop: Denver. 🏔️ Amazon will be at
@cvprconference.bsky.social
with workshops, live demos, and new computer vision research. Come find us at booth 349.
#CVPR2026
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Amazon Science at CVPR 2026
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.
https://www.amazon.science/conferences-and-events/cvpr-2026?utm_campaign=cvpr-2026&utm_medium=organic-asw&utm_source=bluesky&utm_content=cvpr-2026&utm_term=2026-june
18 days ago
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A passive optical device called a ShuffleBox and a routing protocol called Spraypoint just made flat datacenter networks as practical as fat trees, with 69% fewer routers and up to 33% better throughput.
https://amzn.to/4fdNGto
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How flat is replacing fat in AWS data center networks
“Quasi-random” network topologies and new passive optical components called ShuffleBoxes make more-efficient flat networks as practical as traditional “fat-tree” networks.
https://www.amazon.science/blog/how-flat-is-replacing-fat-in-aws-data-center-networks?utm_term=2026-may&utm_campaign=how-flat-is-replacing-fat-in-aws-data-center-networks&utm_medium=organic-asw&utm_content=2026-5-28-how-flat-is-replacing-fat-in-aws-data-center-networks&utm_source=bluesky
23 days ago
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Announcing the
#AmazonResearchAwards
fall 2025 recipients: 🔍 68 researchers 🏫 49 universities 🌏 11 countries Each gains access to 800+ Amazon public datasets and AWS AI/ML tools. Meet the cohort:
https://amzn.to/4vjEhoZ
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Fall 2025 Amazon Research Awards recipients announced
Awardees represent more than 49 universities in 11 countries. Recipients have access to Amazon public datasets, along with AWS AI/ML services and tools.
https://amzn.to/4vjEhoZ
24 days ago
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Current LLMs overallocate to MLP layers. A new scaling law presented at
#ICLR2026
identifies architectures with up to 47% higher throughput and equivalent accuracy.
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Making LLMs faster without sacrificing accuracy
A new scaling law that relates particular architectural choices to loss helps identify models that improve throughput by up to 47% with no loss of accuracy.
https://www.amazon.science/blog/making-llms-faster-without-sacrificing-accuracy?utm_term=2026-may&utm_campaign=making-llms-faster-without-sacrificing-accuracy&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-5-18-making-llms-faster-without-sacrificing-accuracy
about 1 month ago
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Building on a $110 million investment, the next generation of AI researchers are using Amazon's Trainium AI chip to accelerate discovery across ML, healthcare, and quantum computing – and all of it is open source.
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How the next generation of AI researchers is using Amazon chips to accelerate discovery
University researchers are using Amazon’s Trainium chip to push the boundaries of their work—and making the chip better for all developers in the process.
https://www.aboutamazon.com/news/aws/amazon-trainium-investment-university-ai-research?utm_campaign=amazon_science_bluesky&utm_source=amazon_science&utm_medium=bluesky&utm_content=post_link
about 1 month ago
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Promptimus, a new automated prompt-engineering framework from Amazon, improves already good LLM prompts by focusing on specific failure points. It achieves the best result on 16 of 20 benchmarks.
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Promptimus: Improving already good LLM prompts with zero manual engineering
By focusing on specific failure points and suggesting targeted solutions, a new automated prompt-engineering framework improves prompt performance without compromising existing functionality.
https://www.amazon.science/blog/promptimus-improving-already-good-llm-prompts-with-zero-manual-engineering?utm_term=2026-may&utm_campaign=promptimus-improving-already-good-llm-prompts-with-zero-manual-engineering&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-05-14-promptimus-improving-already-good-llm-prompts-with-zero-manual-engineering
about 1 month ago
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🎙️ Reinforcement learning gyms, agentic shopping, and why 50% reliability = 0% utility. A panel at SXSW breaks down what it takes to ship AI agents that work at scale:
https://youtu.be/6KgaRi0muyw
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about 1 month ago
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What keeps a delivery network running when a viral product spikes or a snowstorm hits? Amazon scientists designed a system where shocks trigger effective adaptation rather than crises.
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Navigating uncertainty in Amazon's middle-mile network
Amazon engineers and scientists have created new tools to optimize delivery networks under uncertainty — and keep them adapting without missing a beat.
https://www.amazon.science/blog/navigating-uncertainty-in-amazons-middle-mile-network?utm_campaign=navigating-uncertainty-in-amazons-middle-mile-network&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-05-07-navigating-uncertainty-in-amazons-middle-mile-network&utm_term=2026-may
about 1 month ago
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From auction theory to supply chain coordination. Amazon's Flo Pro system achieves optimal plans where Amazon and its vendors keep their private cost data secret.
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How mechanism design theory helps optimize Amazon-vendor collaboration
Agentic mechanism enables Amazon and vendors to optimize supply chain management without disclosing private information.
https://www.amazon.science/blog/how-mechanism-design-theory-helps-optimize-amazon-vendor-collaboration?utm_campaign=how-mechanism-design-theory-helps-optimize-amazon-vendor-collaboration&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-05-05-how-mechanism-design-theory-helps-optimize-amazon-vendor-collaboration&utm_term=2026-may
about 2 months ago
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âś… 70+ RAI tools âś… 500+ research papers âś… tens of thousands of hours of training How Amazon embeds responsible AI across the model lifecycle:
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Building trust into AI
Amazon scientists and policy experts discuss how the company’s responsible-AI pipeline embeds safety and values throughout the AI development lifecycle.
https://www.amazon.science/blog/building-trust-into-ai?utm_campaign=building-trust-into-ai&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-05-04-building-trust-into-ai&utm_term=2026-may
about 2 months ago
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📣 Deadline extended to May 16. The Amazon Research Awards spring 2026 call for proposals is still open for submissions. Successful applicants receive unrestricted funds, AWS promotional credits, and training resources.
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Amazon Research Awards issues Spring 2026 call for proposals
Submissions open March 25 and close on May 13, 2026
https://www.amazon.science/research-awards/latest-news/amazon-research-awards-issues-spring-2026-call-for-proposals?utm_campaign=amazon-research-awards-issues-spring-2026-call-for-proposals&utm_medium=organic-asw&utm_source=linkedin&utm_content=2026-05-04-amazon-research-awards-issues-spring-2026-call-for-proposals&utm_term=2026-may
about 2 months ago
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Amazon researchers reproduced three attacks that extract private training data from AI models and the cryptographic defenses that stop them.
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Preserving the privacy of AI training data
How we reproduced three attacks that extract private training data from AI models and the cryptographic defenses that stop them.
https://www.amazon.science/blog/preserving-the-privacy-of-ai-training-data?utm_campaign=preserving-the-privacy-of-ai-training-data&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-05-01-preserving-the-privacy-of-ai-training-data&utm_term=2026-may
about 2 months ago
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Another inspiring ICLR in the books. Thank you to everyone who connected with our team in Rio de Janeiro. Great to be among the global research community advancing deep learning.
#ICLR2026
about 2 months ago
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How catastrophic is your LLM? The C3LLM framework shifts safety benchmarking from empirical spot checking to statistical certification.
#ICLR2026
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How catastrophic is your LLM?
A new framework provides a statistical method for estimating the likelihood of catastrophic failures in large language models in adversarial conversations.
http://amazon.science/blog/how-catastrophic-is-your-llm?utm_campaign=how-catastrophic-is-your-llm&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-04-25-how-catastrophic-is-your-llm&utm_term=2026-april
about 2 months ago
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Haven't stopped by booth #106 yet? Meet Amazon researchers, see live demos, and chat with our team about opportunities at Amazon. Here's today's
#ICLR2026
schedule.
about 2 months ago
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Amazon researchers are at
#ICLR2026
all week with live demos, expo talks, and conversations about the work happening across our teams. Stop by booth #106 to connect, see what we're building, and learn about opportunities at Amazon:
amzn.to/4tXJEJM
about 2 months ago
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Meta is deploying tens of millions of AWS Graviton cores to power its agentic AI, making Meta one of the largest Graviton customers in the world.
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Meta signs agreement with AWS to power agentic AI on Amazon's Graviton chips
The deal helps power the agentic workloads behind Meta’s AI efforts.
https://www.aboutamazon.com/news/aws/meta-aws-graviton-ai-partnership?sc_channel=sm&sc_publisher=BLUESKY&sc_country=global&sc_geo=GLOBAL
about 2 months ago
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reposted by
Amazon Science
🇧🇷 Attending
#ICLR2026
? Meet Amazon researchers, catch live demos, and join us for expo talks. Bookmark our booth schedule. ⬇️
about 2 months ago
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🇧🇷 Attending
#ICLR2026
? Meet Amazon researchers, catch live demos, and join us for expo talks. Bookmark our booth schedule. ⬇️
about 2 months ago
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Choosing the best AI model for antibody design has been nearly impossible without a diverse, ground-truth-validated benchmark.
awscloud.bsky.social
and
hopkinsengineer.bsky.social
built one, spanning 50 seed antibodies, 4 structural formats, and 42 antigen targets.
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AWS and Gray Lab at Johns Hopkins Whiting School of Engineering announce groundbreaking database for AI/ML antibody design
The Antibody Developability Benchmark is powered by one of the most diverse antibody datasets, enabling transparent performance evaluation for AI-guided antibody design.
https://www.amazon.science/news/aws-gray-lab-johns-hopkins-announce-groundbreaking-database-for-ai-ml-antibody-design?utm_term=2026-april&utm_campaign=aws-gray-lab-johns-hopkins-announce-groundbreaking-database-for-ai-ml-antibody-design&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-21-aws-gray-lab-johns-hopkins-announce-groundbreaking-database-for-ai-ml-antibody-design
about 2 months ago
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Amazon researchers are presenting work across large language models, automated reasoning, and reinforcement learning at
@iclr-conf.bsky.social
in Rio. Stop by booth #106 to connect with the team. Explore our accepted publications:
amzn.to/4tXJEJM
#ICLR2026
2 months ago
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The Nitro Isolation Engine is the first formally verified cloud hypervisor, setting a new standard for cloud security at AWS.
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Isabelle/HOL: The proof assistant behind the Nitro Isolation Engine
Isabelle/HOL's balance of expressiveness, automation, and scalability enabled the world's first formally verified cloud hypervisor.
https://www.amazon.science/blog/isabelle-hol-the-proof-assistant-behind-the-nitro-isolation-engine?utm_term=2026-april&utm_campaign=isabelle-hol-the-proof-assistant-behind-the-nitro-isolation-engine&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-17-isabelle-hol-the-proof-assistant-behind-the-nitro-isolation-engine
2 months ago
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Training reliable computer use agents means training in high-fidelity synthetic environments that reproduce every layer, from surface interactions down to the underlying system behaviors.
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A practical recipe for training computer-use agents with RL
LLMs are getting pretty good at talking. Getting them to reliably act on a computer — clicking, typing, and navigating real websites to achieve a goal — is a different beast.
https://labs.amazon.science/blog/a-practical-recipe-for-training-computer-use-agents-with-rl?utm_term=2026-april&utm_campaign=a-practical-recipe-for-training-computer-use-agents-with-rl&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-16-a-practical-recipe-for-training-computer-use-agents-with-rl
2 months ago
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Nimbus Therapeutics customized an LLM trained in chemistry, designed to accelerate early-stage drug discovery. A single fine-tuned Amazon Nova model unifies what previously required multiple independently trained models for molecular-property prediction.
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Customized Amazon Nova models improve molecular-property prediction in drug discovery
A single, optimized LLM unifies what previously required multiple models and can serve as a reasoning partner for medical chemists.
https://www.amazon.science/blog/customized-amazon-nova-models-improve-molecular-property-prediction-in-drug-discovery?utm_term=2026-april&utm_campaign=customized-amazon-nova-models-improve-molecular-property-prediction-in-drug-discovery&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-15-customized-amazon-nova-models-improve-molecular-property-prediction-in-drug-discovery
2 months ago
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Amazon built RuleForge to tackle 48,000+ new vulnerabilities. The agentic AI system generates detection rules 336% faster than human analysts.
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How Amazon uses agentic AI for vulnerability detection at global scale
Amazon's RuleForge system uses agentic AI to generate production-ready detection rules 336% faster than traditional methods.
https://www.amazon.science/blog/how-amazon-uses-agentic-ai-for-vulnerability-detection-at-global-scale?utm_term=2026-april&utm_campaign=how-amazon-uses-agentic-ai-for-vulnerability-detection-at-global-scale&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-09-how-amazon-uses-agentic-ai-for-vulnerability-detection-at-global-scale
2 months ago
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Tomorrow’s quantum computers threaten today's encryption. Amazon's answer: mlkem-native, an open-source ML-KEM implementation that is formally verified for security and optimized for performance using automated reasoning.
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Verifying and optimizing post-quantum cryptography at Amazon
How automated reasoning reconciles the demands of security, performance, and maintainability.
https://www.amazon.science/blog/verifying-and-optimizing-post-quantum-cryptography-at-amazon?utm_term=2026-april&utm_campaign=verifying-and-optimizing-post-quantum-cryptography-at-amazon&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-08-verifying-and-optimizing-post-quantum-cryptography-at-amazon
2 months ago
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Low-rank adaptation enables correctly accented polyglot outputs, while classifier-free guidance boosts expressiveness in LLM-based text-to-speech systems.
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Improving quality and robustness in LLM-based text-to-speech systems
Low-rank adaptation, data augmentation, and chain-of-thought reasoning are among the techniques enabling accent-free polyglot outputs, improved expressiveness, and reliable synthesis.
https://www.amazon.science/blog/improving-quality-and-robustness-in-llm-based-text-to-speech-systems?utm_term=2026-april&utm_campaign=improving-quality-and-robustness-in-llm-based-text-to-speech-systems&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-04-02-improving-quality-and-robustness-in-llm-based-text-to-speech-systems
3 months ago
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As AI models grow larger, they become less insightful. AWS found a formula that could change everything: intelligence is about time, not scale.
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Intelligence isn’t about parameter count. It’s about time.
As AI models grow larger, they become less insightful, not more. To ensure that they continue to learn, we need to reduce their inference time.
https://www.amazon.science/blog/intelligence-isnt-about-parameter-count-its-about-time?utm_campaign=intelligence-isnt-about-parameter-count-its-about-time&utm_medium=organic-asw&utm_source=bluesky&utm_content=2026-03-31-intelligence-isnt-about-parameter-count-its-about-time&utm_term=2026-march
3 months ago
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📣 Amazon Research Awards spring 2026 call for proposals is now open for submissions. Successful applicants will receive unrestricted funds, AWS promotional credits, and training resources. Deadline for submissions is May 6.
https://amzn.to/3PW5QVE
3 months ago
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AI is accelerating mathematical research while overloading peer review systems. Amazon Scholars and
@pennengineering.bsky.social
professors Michael Kearns and
@aaroth.bsky.social
on the promise, the problems, and what needs to change.
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How AI is changing the nature of mathematical research
What machine learning theorists learned using AI agents to generate proofs — and what comes next.
https://www.amazon.science/blog/how-ai-is-changing-the-nature-of-mathematical-research?utm_term=2026-march&utm_campaign=how-ai-is-changing-the-nature-of-mathematical-research&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-03-23-how-ai-is-changing-the-nature-of-mathematical-research
3 months ago
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AWS mathematically proved its AES-XTS algorithm is correct, creating the largest proof in s2n-bignum. The algorithm protects customer data in EBS, Nitro cards, and DynamoDB.
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Formally verified AES-XTS: The first AES algorithm to join s2n-bignum
Simplifying and clarifying the assembly code for core operations enabled automated optimization and verification.
https://www.amazon.science/blog/formally-verified-aes-xts-the-first-aes-algorithm-to-join-s2n-bignum?utm_term=2026-march&utm_campaign=formally-verified-aes-xts-the-first-aes-algorithm-to-join-s2n-bignum&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-03-20-formally-verified-aes-xts-the-first-aes-algorithm-to-join-s2n-bignum
3 months ago
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A new Amazon study reveals that targeting LoRA at one model sublayer — or "module" — delivers 98% of multimodule-LoRA performance while cutting latency 22.6%.
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Optimizing LoRA target module selection for efficient fine tuning
Ablation study clarifies trade-offs between accuracy and efficiency when using low-rank adaptation (LoRA) to fine-tune AI models.
https://www.amazon.science/blog/optimizing-lora-target-module-selection-for-efficient-fine-tuning?utm_term=2026-march&utm_campaign=optimizing-lora-target-module-selection-for-efficient-fine-tuning&utm_source=bluesky&utm_medium=organic-asw&utm_content=2026-03-19-optimizing-lora-target-module-selection-for-efficient-fine-tuning
3 months ago
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Critical systems are running on software older than the people managing them. Amazon's AGI Lab is training agents to navigate legacy infrastructure.
https://amzn.to/475AQsh
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3 months ago
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reposted by
Amazon Science
The Warren Center for Network & Data Sciences
3 months ago
"As scientists studying the theory of machine learning, we’re already seeing a similar transformation in basic scientific methodology, especially for research of a mathematical nature," write Warren Center affiliates Michael Kearns & Aaron Roth in their Amazon Science op-ed.
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How AI is changing the nature of mathematical research
What machine learning theorists learned using AI agents to generate proofs — and what comes next.
https://www.amazon.science/blog/how-ai-is-changing-the-nature-of-mathematical-research
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