In 2024, Empa researchers and their partners successfully for the first time realized a so-called one-dimensional alternating Heisenberg model with a synthetic material. This theoretical quantum-physical model, known for nearly a century, describes a linear chain of spins — a type of quantum magnetism. Now, the researchers led by RomanContinue Reading
When chemists design new chemical reactions, one useful piece of information involves the reaction’s transition state — the point of no return from which a reaction must proceed. This information allows chemists to try to produce the right conditions that will allow the desired reaction to occur. However, current methodsContinue Reading
Astronomers have developed a groundbreaking computer simulation to explore, in unprecedented detail, magnetism and turbulence in the interstellar medium (ISM) — the vast ocean of gas and charged particles that lies between stars in the Milky Way Galaxy. Described in a new study published today in Nature Astronomy, the modelContinue Reading
Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer vision and even in augmented reality (AR) applications. A promising direction is to utilize multi-modal data, such as colorContinue Reading
We’ve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropic’s Claude Opus 4 & Sonnet 4, Amazon Nova, and Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful,Continue Reading
In the landscape of generative AI, organizations are increasingly adopting a structured approach to deploy their AI applications, mirroring traditional software development practices. This approach typically involves separate development and production environments, each with its own AWS account, to create logical separation, enhance security, and streamline workflows. Amazon Bedrock isContinue Reading
We are excited to announce the availability of Gemma 3 27B Instruct models through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now deploy Gemma 3, a 27-billion-parameter language model, along with its specialized instruction-following versions, to help accelerate building, experimentation, and scalableContinue Reading
This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or recipes for brevity). In Part 1, we demonstrated the performance and ease of fine-tuning DeepSeek-R1 distilled models using these recipes. In this post, we use the recipes to fine-tune theContinue Reading
Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesn’t possessContinue Reading
Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI: how to maintain high performance while reducing costs and latency. This technique transfers knowledge from larger, more capable foundation models (FMs) that act as teachers to smaller, more efficient modelsContinue Reading
