Mapping Cells Through Time and Space With Moscot

Single-cell genomics technologies enable multimodal profiling of millions of cells across temporal and spatial dimensions. Experimental limitations prevent the measurement of all-encompassing cellular states in their native temporal dynamics or spatial tissue niche. Optimal transport theory has emerged as a powerful tool to overcome such constraints, enabling the recovery of the original cellular context. However, …

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Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS. With Flows, you …

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Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas

Businesses today deal with a reality that is increasingly complex and volatile. Companies across retail, manufacturing, healthcare, and other sectors face pressing challenges in accurate planning and forecasting. Predicting future inventory needs, setting achievable strategic goals, and budgeting effectively involve grappling with ever-changing consumer demand and global market forces. Inventory shortages, surpluses, and unmet customer …

On the Modeling Capabilities of Large Language Models for Sequential Decision Making

Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains. We evaluate their ability to …

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts

What distinguishes robust models from non-robust ones? While for ImageNet distribution shifts it has been shown that such differences in robustness can be traced back predominantly to differences in training data, so far it is not known what that translates to in terms of what the model has learned. In this work, we bridge this …

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How Kyndryl integrated ServiceNow and Amazon Q Business

This post is co-written with Sujith R Pillai from Kyndryl. In this post, we show you how Kyndryl, an AWS Premier Tier Services Partner and IT infrastructure services provider that designs, builds, manages, and modernizes complex, mission-critical information systems, integrated Amazon Q Business with ServiceNow in a few simple steps. You will learn how to …

New year, new updates to AI Hypercomputer

The last few weeks of 2024 were exhilarating as we worked to bring you multiple advancements in AI infrastructure, including the general availability of Trillium, our sixth-generation TPU, A3 Ultra VMs powered by NVIDIA H200 GPUs, support for up to 65,000 nodes in Google Kubernetes Engine (GKE), and Parallelstore, our distributed file system service that …

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Evaluating Generative AI: A Field Manual

Evaluating Generative AI (Engineering Responsible AI, #4) A Field Manual Editor’s Note: This is the fourth post in a series on Responsible AI and expands on the topic of AI Testing & Evaluation (T&E) introduced in the previous post. Introduction In the previous blog post in this series, we introduced AIP Evals, which provides users with the capabilities …

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

This post introduces HCLTech’s AutoWise Companion, a transformative generative AI solution designed to enhance customers’ vehicle purchasing journey. By tailoring recommendations based on individuals’ preferences, the solution guides customers toward the best vehicle model for them. Simultaneously, it empowers vehicle manufacturers (original equipment manufacturers (OEMs)) by using real customer feedback to drive strategic decisions, boosting …

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Trading in the Cloud: Lessons from Deutsche Börse Group’s cloud-native trading engine

Earlier this year, Deutsche Börse Group began developing a new cloud-native, purpose-built trading platform. It was built with a focus on digital assets, such as stablecoins, cryptocurrencies, and other tokenized assets. However, the new platform is instrument-agnostic and can trade in all types of assets, from equities to ETFs. Developing a trading platform for digital …