Top Tweets for #AmazonScience
Had a great time working with an amazing team on this! 🙌🚀
Joint first-authored with @vijaylingam08.
Joint work with @sujaysanghavi, Anoop Deoras, Luke Huan, Behrooz Omidvar-Tehrani, and Stefano Soatto.
#AWSAI #AmazonScience #MIT #LLMs #ReinforcementLearning #CodeGeneration #GRPO #RLVR #AIAgents
ಅಮೆಜಾನ್ ಅರಣ್ಯದ ಶಕ್ತಿಯು ನಮ್ಮ ಗ್ರಹದ ಭವಿಷ್ಯವನ್ನು ನಿರ್ಧರಿಸುತ್ತವೆ! ಈ ಅದ್ಭುತ ವನದ ಉತ್ಪತ್ತಿ ವಿಕಾಸದಿಂದ ಇಂದಿನ ವನನಾಶದವರೆಗೆ ತಿಳಿಯಿರಿ. #AmazonScience #SaveRainforest https://t.co/Br0BVk1AyF
Evaluating agents with agents. The DREAM framework tackles one of the trickiest meta-problems in deep research right now. Check this out 👇 #AmazonScience
Excited to share our latest work—DREAM: Deep Research Evaluation with Agentic Metrics
TL;DR: How do you reliably evaluate Deep Research Agents (DRAs)? With another agent. We introduce a framework that makes evaluation itself agentic.
Preprint: https://t.co/ybNPAYu2fz
🧵
Excited to be at #NeurIPS2025 in San Diego this week!
Our Applied AI team @ Amazon is hiring Applied Scientist Interns for Spring/Summer.
Stop by the Amazon Science booth on Dec 3 to chat about Agentic AI — or DM to connect!
#AgenticAI #AmazonScience
8/
GRPO trains models to reason.
MURPHY trains models to reflect.
A step toward robust, self-correcting code generation.
#ReinforcementLearning #LLMs #AWS #AmazonScience
We are super excited to be presenting our work tomorrow (noon session) at #EMNLP in the beautiful city of Suzhou. 🥳 #amazonscience
If you are interested in prompt compression 💿, LLM memory 💾 or just want to say hi, come visit our poster in the session tomorrow (12:30-13:30).
🎉 Excited to present our full findings paper with @mhardalov at #EMNLP2025 tomorrow (Fri)!
🗓️ Poster session: 12:30-13:30
📍 Come chat with us about our work and findings — we’d love to connect!
https://t.co/1XGbcI0zyf
Very excited to share our work on "Science in the Age of Foundation Models", where we discuss applications of foundation models in time series forecasting and PDEs including weather forecasting and aerodynamics.
#sciml #pdes #cfd #amazonscience
Foundation models show promise for scientific computing, but adoption lags behind language and vision applications. Amazon researchers reveal what’s needed: physical-constraint satisfaction, uncertainty quantification, and specialized forecasting techniques.
Mamirauá’s research institute is world-class, conducting vital studies on everything from fish populations to the effects of climate change on the flooded forest ecosystem .#ScientificResearch #AmazonScience
Deepfleet: a suite of foundation models designed to support coordination and planning for large-scale mobile robot fleets. #amazon #amazonscience #foundationmodel https://t.co/DxK0pBFl4g
Exciting to see Amazon pushing the boundaries of AI agent capabilities with Nova Act! The ability to reliably use browsers and streamline workflows opens up so many possibilities. Looking forward to seeing how this innovation evolves! 🚀 #AI #Innovation #AmazonScience
Meet Amazon Nova Act — an effortless way to build AI agents that can reliably use browsers 🧑💻
With our new model, compose robust steps into complex workflows; handle everything from bookings to QA testing. Getting started takes just 3 lines of code.
See what Nova Act can do 🧵👇
@CVUTPraha je mezi 10 univerzitami, které se účastní prestižní výzvy Amazon Nova AI Challenge. Tým AlquistCoder tvoří vědci, vědkyně a studenti z @CVUTFEL a @CIIRCCTU. Držíme palce!
👀https://t.co/zB9mI7JvGX
📸Amazon Nova AI Challenge
#AmazonScience
My latest blog on improving code LLMs’ ability to debug and generate accurate code. https://t.co/rd2vaffk4y #neurips2024 #amazonscience https://t.co/GlObKOxPvz
Ideally, using LLMs for code generation also means using them to debug the generated code. Specializing LLMs for debugging using synthetic training data and both fine tuning and reinforcement learning improves the success rate of code generation by 39%. https://t.co/yoWo09ATFI #LLMs
Our most-viewed papers of 2024 span cloud databases, anomaly detection on graphs, recession prediction, and Amazon's Nova foundation models. Explore the most popular publications authored by Amazon scientists and collaborators from the year: https://t.co/IDpZievZgE #AmazonScience
As 2024 comes to a close, we've rounded up our 10 most-viewed blog posts. Explore the scientific advances that shaped our year including large language models, cryptography, automated reasoning, and more: https://t.co/YVYcFvcVeI #AmazonScience
"25519 elliptic-curve cryptography getting a makeover! Amazon Science stepping up the game. Watch out for the upgrade! 💥🛡️ #Cryptography #Innovation #AmazonScience" https://t.co/f57bf3Hj86
We're at @kdd_news! Find the Amazon team at booth 19 to hear from our scientists and learn about career opportunities, and visit our website to view accepted publications and workshops: https://t.co/19QEyczGeB #KDD2024 #AmazonScience
Amazon continues to push the boundaries of large language models and conversational AI.
Looking to join a team at the forefront of the conversational AI revolution?
#AmazonScience #ConversationalAI #NaturalLanguageProcessing #MachineLearning #ACL2024 https://t.co/jyPog36gjL
🚀 Excited to share the Amazon Trusted AI Challenge by Amazon Science! 🌟
Learn more and get involved👇🏻
https://t.co/kJoIrLKSMP
#AmazonScience #TrustedAIChallenge #Security
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