AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
This work integrates selective State Space Model mechanisms from Mamba and three approximate self-attention methods, including Longformer, LongNet, and Nyströmformer, into a regularization-based reconstruction network that enables efficient modeling of long-range dependencies using modern sequence-processing architectures.
OL-RGB is an input representation that amplifies inter-region contrast without extra sensors, extra annotation, or any change to the network, and is on par with recent transformer-based detectors that need one to two orders of magnitude more inference parameters, although it remains below the strongest diffusion-based...
Recent advancements in low-light image enhancement have leveraged diffusion models for their strong ability to generate perceptually realistic, detailed images. Patch diffusion models further offer a promising solution to size-agnostic image restoration while improving efficiency. However, existing methods typically re...
Content-based image retrieval (CBIR) has become an essential tool in several industries, allowing images to be searched efficiently based on their properties. In the context of digital rock studies, a CBIR system assists, for example, in applications in the oil and gas industry, where the identification and categorizat...
Symmetry is a fundamental property of biological systems, yet it is commonly reduced to discrete, subjective classifications that fail to capture the continuous and graded nature of symmetry in real organisms. We present a high-throughput, user-friendly computational framework for quantifying and visualizing biological...
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