AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,372 papers
Structured data are central to modern machine learning systems, but their structure creates modeling challenges that are not present in flat vectors or single images: graphs are invariant to node ordering, visual scenes combine symbolic relations with continuous geometry, and human or driving motion evolves through int...
This dissertation argues that the Neolithic of the British Isles is best understood not as the gradual adoption of farming or the diffusion of a cultural “package,” but as the rapid installation of a circulation-dependent, monumentally structured archipelagic world built through labor, movement, architecture, and the m...
Abstract Studying real-time degradation in perovskite semiconductors remains an important challenge. Conventional methods often cannot separate interfacial and bulk processes or rely on destructive analysis. Here, we demonstrate multiwavelength excitation photoluminescence (PL) as a nondestructive approach to distingui...
Lithium-ion battery technology is today the most important electrical energy storage technology. Equivalent circuit models (ECMs) are widely used in battery research and development, and for diagnostics as part of battery management systems. The present article introduces LIBquiv, a MATLAB class for time-domain simulat...
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Abstract Passivating defects and restricting defect mobilities in halide perovskites to increase device lifetimes has become a main field of research. Modeling structure and mobility of point defects is an essential contribution to this endeavor. We employ molecular dynamics, based on neural network potentials trained...
Fetal Head Circumference (HC) measurement using Ultrasound (USG) imagery is a crucial biometric parameter for estimating gestational age and monitoring fetal growth rate. However, automated interpretation is often hindered by speckle noise, low contrast, and blurred object boundaries inherent in USG images. This study...
Abstract. In the context of PDE-constrained optimization theory, source identification problems traditionally entail particles emerging from an unknown source distribution inside a domain, moving according to a prescribed stochastic process, e.g., Brownian motion, and then exiting through the boundary of a compact doma...
Deep learning algorithms require extensive data to achieve robust performance. However, data availability is often restricted in the medical domain due to patient privacy concerns. Synthetic data presents a possible solution to these challenges. Image generative models have found increasing use for medical applications...
Methylene blue (MB) is a cationic dye found in industrial wastewater that requires effective and environmentally sustainable treatment. This study investigated Fuji apple peel (Malus domestica ‘Fuji’) as a low-cost, renewable biosorbent for MB removal, focusing on contact time and agitation speed. Batch experiments use...
Does severe failure after projecting a diffusion model to one-bit weights show that its binary representation is unusable? We test that implication, rather than propose a new quantizer, in a small MNIST residual U-Net. We compare floating-point training, zero-shot per-channel sign/scale projection of a trained model, b...
Reactive transport governs mineral dissolution in a wide range of geological and engineered systems, where the interplay between advection, diffusion, reaction kinetics and evolving geometry gives rise to complex interface morphologies. Even for simple initial shapes, dissolution under flow can produce asymmetric, time...
A theory does not enter social practice merely because it is internally coherent or because it has been committed to papers and books. Between conceptual formulation and public understanding, between individual acceptance and lived practice, and between local experience and cross-cultural diffusion, several mechanisms...
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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.
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