AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,370 papers
This research investigates the emergence of complex patterns within stochastic diffusion processes, proposing a novel approach centered on identifying and quantifying 'emergent complexity' through the application of a "statistical resonance" algorithm. We explore how this algorithm maps information flow across a networ...
This paper investigates a predator-prey model with a Holling Type II functional response in the presence of habitat complexity. The model is formulated in continuous time and discretized using the forward Euler scheme to obtain its discrete counterpart. Fundamental dynamical properties, including positivity, boundednes...
This paper explores the extension of standard diffusion equations to incorporate a landscape parameter, introducing a feedback loop that drives the evolution of diffusion patterns. Traditional diffusion models, while widely used, often lack the capacity to generate complex and unpredictable behavior. We propose a novel...
Information diffusion is a fundamental process in many social, biological, and technological systems. Understanding and predicting its spread is crucial for various applications, including network analysis, epidemic spread, and social media influence. Traditional approaches to modeling information diffusion often rely...
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Rather than relying on a single phenomenological memory time, the proposed model introduces a coupled dynamical framework based on an explicit three-scale memory hierarchy: $$\tau = (\tau_{\text{R}}, \tau_{\text{trap}}, \tau_{\text{th}})$$ representing damped Raman dynamics, photo-assisted trap kinetics, and thermal di...
This thesis examines eHealth and digital government as innovative tools for improving healthcare service delivery in African low- and middle-income countries (LMICs). It explores how digital technologies can support the transformation of healthcare systems, improve access to health-related information and services, and...
ADAPTIVE RESILIENCY THROUGH CONSTRAINED DIVERGENCE (ARCD) A Fluidic Topological Framework for Macroscopic and Quantum Phenomena (Version 12.0) This manuscript introduces the Adaptive Resiliency through Constrained Divergence (ARCD) framework, a deterministic, fluidic topological architecture designed to resolve the fun...
Climate adaptation policy presents a distinctive governance challenge because the physical impacts of climate change are experienced locally and unevenly, while much of the scientific, financial and technical capacity required designing effective adaptation responses is concentrated at national and international levels...
— This paper presents a novel bio-inspired phenomenological framework and an algorithmic toy model designed to conceptualize the kinematic and energetic transitions between conscious waking states and virtual dream states within the human brain. Moving away from purely qualitative descriptions, we introduce a global st...
South‑South climate diplomacy has become the structural center of gravity in global climate governance, displacing the historical assumption of Annex I technological and financial primacy. As the monograph notes, “emerging economies and developing nations now account for over 66% of annual global greenhouse gas emissio...
Information diffusion is a fundamental process in many social, biological, and technological systems. Understanding and predicting its spread is crucial for various applications, including network analysis, epidemic spread, and social media influence. Traditional approaches to modeling information diffusion often rely...
Taller de práctica sobre los bloques matemáticos que sostienen los modelos de biología computacional: atención, geometría de proteínas, difusión, modelos de secuencia y genómica. El estudiante implementa cada operación en PyTorch puro, un modelo de lenguaje revisa formas, valores, gradientes y estabilidad numérica, y u...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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