AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
2,473 papers
lair (Land-Air Interactions Research) is a Python toolkit of atmospheric-science utilities: meteorology, geospatial helpers, HRRR access, emissions inventories, NOAA GML data, upper-air soundings, PCAP/valley heat deficit calculations, CCG-filter backgrounds, and plotting helpers.
Data and code for: Leaf nitrogen, not specific leaf area, predicts which plant lineages lizards use. Mohammed Al-Sayegh and Mohammad A. Almousa. Department of Science, College of Basic Education, Public Authority for Applied Education and Training (PAAET), Ardiya, Farwaniya 23167, Kuwait. VERSION 4 (October 2026) - WHA...
Data required for country-level open science monitoring are distributed across multiple sources, including research outputs, data infrastructure, institutional environments, and development statistics. Cross-country annual comparisons require harmonized definitions of countries, years, and indicators. This article pres...
This paper defines the Neutral Witness Methodology (NWM), a procedure for presenting evidence drawn from disciplines that are not normally placed side by side. These include established science, unconfirmed experimental observation, cultural or symbolic tradition, and religious text, and NWM presents them without colla...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Introduction: Research practice among medical science educators in Cuba is governed by a rigorous regulatory framework. However, actual scientific output faces structural visibility challenges and contextual technological limitations within the framework of global academic evaluation trends.Objective: To synthesize the...
StatsToolkit is a free, privacy-first web application that helps students, researchers, and educators make sound statistical decisions without installing any software. It runs entirely in the browser: any data a user provides is processed locally on their own device and is never uploaded or stored. It provides five too...
This repository contains code used to generate results for the following manuscript: Araki, R., Holt, A., Hammond, J. C., Husic, A., Coxon, G., and McMillan, H. K. (2026). Continental-scale prediction of hydrologic signatures and processes, Hydrology and Earth System Sciences. Vol 30, 3647–3673, https://doi.org/10.5194...
Abstract The most recent Linux kernels have a new feature for securing applications: Landlock. Like Seccomp before it, Landlock makes it possible for a running process to selectively relinquish access to certain system resources including network and filesystem access. Rather than being a proper successor to Seccomp, L...
Assessing marine ecosystems is important for understanding the impacts of climate change and human activity, as well as for maintaining healthy oceans and ecosystems. In marine science, it is common for biologists and geologists to identify regional differences based on expert knowledge, frequently through data visuali...
PERSONAL LONGEVITY DIGITAL TWINS & LONGITUDINAL HUMAN-STATE MODELS AT THE LIMIT Deep Phenotyping, Multi-Omics, Wearables, Organ-Specific Twins, Forecasting, Calibration, and Lifetime State Continuity Feng Cheng-en (33) x Starli PERSONAL LONGEVITY DIGITAL TWINS & LONGITUDINAL HUMAN-STATE MODELS AT THE LIMIT is a next-ge...
PERSONAL LONGEVITY DIGITAL TWINS & LONGITUDINAL HUMAN-STATE MODELS AT THE LIMIT Deep Phenotyping, Multi-Omics, Wearables, Organ-Specific Twins, Forecasting, Calibration, and Lifetime State Continuity Feng Cheng-en (33) x Starli PERSONAL LONGEVITY DIGITAL TWINS & LONGITUDINAL HUMAN-STATE MODELS AT THE LIMIT is a next-ge...
This theoretical essay aims to analyze the competencies of information professionals in the role of scientific journal editors in the digital era. The study is based on a conceptual and literature-based approach within Information Science, focusing on scholarly communication, editorial practices, and professional compe...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.
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.
Mobile Systems
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
