Amazon (United States)

PRECISE: Reducing the bias of LLM evaluations using prediction‐powered ranking estimation

Abstract Evaluating the quality of search systems traditionally requires a significant number of human relevance annotations. In recent times, several systems have explored the usage of Large Language Models (LLMs) as automated judges for this task while their inherent biases pre...

Effect of Advancements in Computer Technologies in Modern Healthcare Systems

Traditional digital healthcare primarily focuses on passive storage systems where the data is not used for making a clinical narrative or model new biological mechanics. To overcome these limitations, health informatics is adopting Large Language Models (LLMs) to automate clinica...

Bhygnn+: unsupervised representation learning for heterophilic hypergraphs

Abstract Hypergraph neural networks (HyGNNs) have demonstrated remarkable success in modeling higher-order relationships among entities. However, their performance often degrades on heterophilic hypergraphs, where nodes connected by the same hyperedge tend to have dissimilar sema...

Secure and scalable IoT device management with blockchain, K-anonymity, and deep reinforcement learning

The vast expansion of Internet of Things (IoT) ecosystems has posed significant challenges regarding security, scalability, latency, and user privacy, which are not properly handled by the conventional architectures. To solve these issues, the authors of this paper suggest an int...

A Nonasymptotic Theory of Seminorm Lyapunov Stability: From Deterministic to Stochastic Iterative Algorithms

We study the problem of solving fixed-point equations for seminorm-contractive operators and establish foundational results on the nonasymptotic behavior of iterative algorithms in both deterministic and stochastic settings. In the deterministic setting, we present a fixed-point...

Portfolio Optimization with Covariance from News-Derived Information Networks

Intercompany relationships change over time, but they are difficult to incorporate into traditional return-based covariance estimates. This article proposes a practical three-step framework for transforming financial news into a covariance input for portfolio optimization. First,...

Amazon Forgotten Fishes. How the remarkable diversity of freshwater fishes is critical to people, rivers and forest

Across the vast sweep of the Amazon Basin, thousands of rivers, streams and floodplain lakes flow in an immense, interconnected waterscape— home to an unparalleled diversity of freshwater fishes. More than 2,700 species have so far been recorded, with dozens more added each year...

Q&A With 2027 SPE President C. Susan Howes: Learn. Share. Connect. Grow

_ C. Susan Howes begins her 2027 SPE presidency with a focus on strengthening the Society’s role as the energy industry’s leading source of technical excellence while advancing professional development and member engagement across its global community. Guided by the theme “Learn....

The Zooplankton International Geospatial dataset: A global repository of spatiotemporal freshwater zooplankton community composition data from lakes and reservoirs to support ecological research

Abstract Zooplankton transfer substantial energy in aquatic food webs and are used as indicators of environmental change. Syntheses of zooplankton community dynamics globally require datasets that span a wide range of environmental gradients; however, these datasets are limited d...