amazon.scienceadded August 2026
Amazon Science Homepageby Byron Cook10d ago
In 2016 a small research team at Amazon announced our presence to the world with the launch of the Automated Reasoning Group (ARG).
Amazon Science Homepageby Louise Ping; John Gray; Emily Webber; Josh Longenecker11d ago
Modern LLM architectures have co-evolved within a single hardware family. The shapes of our attention mechanisms, the structure of our multilayer perceptrons (MLPs), the choice of numerical...
Amazon Science Homepageby Amazon Research Awards team16d ago
Build on Trainium is a $110 million credit program focused on AI research and university education aimed to support the next generation of innovation and development on AWS Trainium.
Amazon Science Homepageby Theodore Vasiloudis22d ago
Training a machine learning model to handle multiple objectives simultaneously is a bit like trying to follow GPS directions to several destinations at once: the routes often conflict, and...
Amazon Science Homepageby Korosh Vatanparvar; Ashutosh Joshi23d ago
When a virtual patient in a benchmark scenario tells an AI agent they're feeling feverish, or hopeless, the difference between a safe response and an unsafe one often comes down to clinical design...
Amazon Science Homepageby Byron Cook; Shawn Bice26d ago
We want to tell you about an investment we're making and why we're excited about it. As AI agents increasingly make decisions that move money, approve claims, and operate critical infrastructure...
Amazon Science Homepageby Mani Nambi; Nima Fazeli10 Jul 2026
From warehouse automation to surgical assistance, many real-world applications depend on robots performing delicate, contact-intensive tasks.
Amazon Science Homepageby Frederick Robinson9 Jul 2026
Reinforcement learning (RL) is one of the techniques we use to make language models better at sustained, multistep tasks like writing code, navigating a website, or carrying out a research...
Amazon Science Homepageby Kerry Constabile1 Jul 2026
At Amazon, we believe that as our strategy to reach net-zero by 2040 evolves, we need to continue to raise the bar on what and how we measure.
Amazon Science Homepageby Katy Huff24 Jun 2026
Amazon is investing in next-generation nuclear technology to meet the rising energy demands of AI infrastructure and cloud computing, and at the heart of that technology are tristructural isotropic...
Amazon Science Homepageby Ali Saidi10 Jun 2026
AWS Graviton processors have improved steadily across generations, with each iteration delivering advances in computational performance, price performance, energy efficiency, and memory capacity.
Amazon Science Homepageby Dominic Mulligan; Nathan Chong10 Jun 2026
Today we announced the general availability of the new M9g and M9gd instances of Amazon Web Services’ (AWS’s) Elastic Compute Cloud (EC2), the first instance types powered by Graviton5, the latest...
Amazon Science Homepageby Rose Yu8 Jun 2026
The year 2026 marks a definitive shift in the AI landscape: we have moved from models that simply know to agents that do.
Amazon Science Homepageby Gaurav Gupta; Vatshank Chaturvedi8 Jun 2026
AI agent performance is not just a modeling problem; it is fundamentally a systems problem. A modern agent combines an LLM with a harness, software that mediates the LLM’s interaction with tools...
Amazon Science Homepageby Venkatesh Saligrama3 Jun 2026
Today, the key challenge in AI isn’t only how to build better models; it’s how to build evaluation systems that can keep up.
Amazon Science Homepageby Giacomo Bernardi; Ratul Mahajan; Seshadhri Comandur28 May 2026
Routing in today’s data centers is usually governed by a data structure called a “fat tree”, which is similar to a corporate organizational chart, with nodes in each layer connecting to multiple...
Amazon Science Homepageby Amazon Research Awards team27 May 2026
Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in multiple disciplines.
Amazon Science Homepageby Sheng Jia; Xiao Wang; Shiva Kasiviswanathan26 May 2026
Large language models (LLMs) are pretrained on huge volumes of unlabeled data, but afterward, they’re typically post-trained on specific tasks such as instruction following, avoiding harmful...
Amazon Science Homepageby Tao Yu; Youngsuk Park15 May 2026
Large language models (LLMs) keep getting bigger and better. But the cost of running them — generating text, answering questions, powering real-time applications — is scaling up, too.
Amazon Science Homepageby Zhengyuan Shen; Yunfei Bai; Sullam Jeoung; Shuai Wang14 May 2026
Large language models (LLMs) have become integral to enterprise applications across industries. Under the hood, customers’ inputs to the models are usually augmented with prompts that encode...
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