Amazon Web Services AI leader on the future of large language models and autonomous agents geekwire.com/2024/amazon-we…

At Amazon Web Services, we’re excited to build and power the technology that is shaping our lives. I had a chance to talk about this experience while in Paris recently with Werner Vogels. It was great to catch up about our early days working on the business (especially after being at Amazon

By optimizing RSA code for @Amazon’s Graviton2 processor, Amazon’s Automated Reasoning team improved throughput by 94% for 4,096-bit keys, while using the HOL Light interactive theorem prover to formally verify the optimizations. #FormalVerification amazon.science/blog/formal-ve…

🚨 Check out an exciting batch of papers this week at #ACL2024! Say hi to some of our awesome students & collaborators who are attending in person, and feel free to ask about our postdoc openings too 🙂 Topics: -- multi-agent reasoning collaboration -- structured

If you're at ACL 2024 this week, find the Amazon team at booth 18 to learn more about our research and career opportunities. #ACL2024NLP #NLProc amazon.science/conferences-an…

A huge shout-out to our brilliant Amazon Web Services team that made this paper come true: Laura Aina Paula Czarnowska Thomas Müller Lluís Màrquez 👏👏👏 Paper 📜 arxiv.org/abs/2406.13415 Code 💿 github.com/amazon-science… #LLM #factual #confidence #reliability #robustness

At ACL 2025, Amazon's 30+ papers explore a wide range of LLM-related topics, from applications like code synthesis and automatic speech recognition to issues concerning LLM training and deployment, including continual pretraining and hallucination mitigation. #ACL2024 #ConvAI

🚨In the age of information overload, summarizing key info from diverse modalities such as text and images is crucial. But how to do this effectively? Our #ACL2024 paper introduces a self-refinement approach for improving multimodal LLM summaries and REFINESumm, a new dataset 🧵

Congrats to our students in the Summer Undergraduate Research Experience (SURE) on their engaging final poster presentations at the SURE Symposium! CS3 hosted 4 undergrads from across the country to work with Gil Zussman & Brian A. Smith.🌟🛣️

Learn more about the Amazon Summer Undergraduate Research Experience (SURE): amazon.science/sure

In his @convFAV keynote, Amazon scientist Leo de Moura described the capabilities and uses of Lean, the open-source functional programming language and interactive theorem prover whose development he led, including formal mathematics, software/hardware verification, and more.

Join us as a Sr. Applied Scientist Amazon Science to lead our multi-year voice of seller #MachineLearning projects. Take research to production, with #NLP, sentiment analysis, #LLM, RAGs, causal modeling, and more in #Seattle or #SanDiego: amazon.jobs/en/jobs/270889…

This year's fellowship cohort, selected by the Amazon and UCLA Samueli Engineering's Science Hub, will receive funding to pursue their independent research projects and be invited to apply to intern at Amazon. Meet the 14 fellows, and learn more about their research and faculty advisors.

Made some awesome friends during my 2nd summer at AWS AI! ❤️ Amazon Web Services Amazon Science

Now Rene Vidal and arnua ramisa from Amazon (Amazon Science) visual search team are presenting the part on #multimodal GenRecSys models. His talk starts by motivating with the interesting questuion "why do we need multimodal models?"

We're at SIGKDD 2024! 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: amzn.to/4dWd2Ij #KDD2024 #AmazonScience

The MCSC is pleased to welcome its newest member company Amazon. The Amazon team's #technology expertise will help accelerate the implementation of large-scale, real-world #climate and #sustainability challenges alongside our other member companies. impactclimate.mit.edu/2024/08/23/ama…

#ICYMI: The Amazon Trusted AI Challenge application deadline is Sept 1. The university competition aims to drive secure innovation in generative AI technology, where $700K in cash prizes will be allocated across four top-performing teams. Learn more: amzn.to/3MpJ3g8

Training computer vision models depends on quantifying images’ similarity, but similarity can be a matter of concepts — not just pixels. At #CVPR2024, Amazon researchers showed how to leverage vision-language models to quantify images’ conceptual similarity. #ExplainableAI