AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,851 papers
Mean field games almost always pair the agents' Hamilton-Jacobi-Bellman equation with a Fokker-Planck equation that is linear in the density: the agents' noises are independent and they interact only through their costs, so they never touch. This discussion paper asks what a game gains when the forward equation is nonl...
Abstract Accurate and timely monitoring of vegetation health, soil conditions, surface water dynamics, and agricultural drought is essential for sustainable land management and food security. However, access to satellite based analytical tools remains constrained by technical barriers, including programming requirement...
One object does three things. This note derives the substrate condensate of Spectral Quantum Gravity from a single, explicitly fixed energy functional and follows the same condensate through two of its consequences. What is confirmed.By consistency: one condensate carries the dark energy, the gauge gap and the phase cl...
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Contemporary recruitment systems suffer from severe friction between high-volume resume submissions and recruiter screening capacity. Conventional Applicant Tracking Systems (ATS) rely primarily on rigid exact-keyword matching heuristics, resulting in high false-rejection rates for qualified candidates who describe the...
The remarkable progress achieved in IoT technologies, along with the advent of bio-compatible solutions for flexible and stretchable electronic devices, has revolutionized the approach to delivering care to patients. Wearable IoT gadgets that are designed as smart healthcare systems represent a revolution in remote pat...
وصف باللغة الإنجليزية) Title: Autonomous Multi-Agent Robotic Architecture for Precision Ophthalmic Procedures Abstract: A synchronized multi-agent robotic ecosystem designed for autonomous and semi-autonomous execution of micro-ophthalmic surgeries. The system integrates a distributed network of seven specialized robot...
We present the architectural and mathematical framework of Nath Darsana, a distributed, edge-computed astrodynamical engine engineered for sub-arcsecond aerospace ephemeris generation, continuous-to-discrete phase-space quantization (Varga / Dasha boundary evaluation), and multi-agent Sanskrit exegesis. Currently deplo...
Metodologicamente, o artigo assume caráter bibliográfico e teórico-analítico. O corpus reúne trabalhos estruturantes sobre sistemas ciberfísicos, IIoT, fog e edge computing e estudos recentes sobre monitoramento, edge-cloud continuum, redução de tráfego, offloading e confiabilidade. A discussão organiza os autores por...
This article analyzes the contemporary scientific and methodological features of forensic examination of bladed cold weapons. It substantiates the necessity of a comprehensive assessment of general and individual characteristics, geometric parameters of blades, properties of cutting edges, morphological structure of ma...
The Internet of Things (IoT) is transforming livestock farming by connecting animals, farm equipment and environmental monitoring systems to digital platforms that can collect and analyse information continuously. Sensors can track activity, rumination, body temperature, milk characteristics, feed and water intake, whi...
We present the architectural and mathematical framework of Nath Darsana, a distributed, edge-computed astrodynamical engine engineered for sub-arcsecond aerospace ephemeris generation, continuous-to-discrete phase-space quantization (Varga / Dasha boundary evaluation), and multi-agent Sanskrit exegesis. Currently deplo...
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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