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2,462 papers
Rendering on the Modern Web is an independent technical whitepaper examining the architecture and trade-offs of modern web rendering. The paper presents rendering as three independent decisions: when and where HTML is produced, how markup, data, and compute reach the user, and how static HTML becomes interactive. It co...
Papers I to IV of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it on the gas-to-power-to-water chain in two winter storms, and priced its hours with a cost group ΠC = ca/(v Cd). This paper takes it to a third hazard and a fourth node. Hurricane Helene, 26 September...
A mobile edge controller has to divide computation and spectrum among users, choose where each task runs, and move user services between sites as devices travel. We treat the three choices as one constrained Markov decision process and solve it with EA-DDPG. The agent is a deep deterministic policy gradient learner who...
The technology of seismic monitoring is undergoing a profound paradigm shift from systems centered on hardware performance to architectures defined by algorithmic intelligence. Traditionally, hardware has served as the core of seismic monitoring, undertaking essential tasks such as signal acquisition, noise suppression...
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Papers I to IV of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it on the gas-to-power-to-water chain in two winter storms, and priced its hours with a cost group ΠC = ca/(v Cd). This paper takes it to a third hazard and a fourth node. Hurricane Helene, 26 September...
Therapod development of information technology has transformed the way organizations, businesses, educational institutions, and individuals store, process, and utilize information. Two major technologies driving this transformation are Artificial Intelligence (AI) and Cloud Computing. The combination of AI and cloud co...
Underwater fish detection is challenged by low light, turbidity, and blue-green color dominance from light attenuation. This study aims to compare six image-enhancement scenarios (baseline, CLAHE, Retinex Ultra Lite, UDP, UDP Super Lite, and Gamma Correction + White Balance) combined with YOLOv11 to evaluate their dete...
Where the Cheapest Token Wins, Pays, and Fails: A Predictive, Stress-Tested Map of a Frozen Single-Token Edge Encoder Randolph James Ferlic, M.D. and Kimberly Kate Ferlic — Fieldstone Analytics, LLC, Austin, TX, USA Preprint · Zenodo DOI: 10.5281/zenodo.22945419 · CC-BY 4.0 · Community: spiral-domain-encoder-campaign A...
Large language models (LLMs) exhibit strong performance across applications, but their inference is computationally intensive, posing significant challenges for edge deployment. Quantization is among the most effective and widely used optimizations. In particular, ternary-weight quantization further lowers compute cost...
EN 1992-4 verifies concrete edge failure of a multi-row anchor group loaded in shear towards a free edge by assuming that only the row closest to the edge is effective and that it carries the whole shear load. The consequence is paradoxical: the verified resistance does not grow when rows are added behind the front row...
Paper I of the Guarino Infrastructure Dependency Metric (GIDM). Infrastructure fails in chains. The February 2021 freeze in Texas began at frozen wellheads, ran through load-shed gas processing plants, took 61,800 MW of generation offline, and ended in boil-water notices for almost 18 million people. Existing resilienc...
Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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