CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce ...
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce ...
Discover how AI-driven anomaly detection safeguards post-quantum context streams in Model Context Protocol (MCP) environments, ensuring robust security for AI infrastructure against future threats.
Abstract: For the safe and reliable operation of battery-driven machines, accurate state-of-charge (SOC) estimations are necessary. Unfortunately, existing methods often fail to identify patterns ...
Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
AZoSensors on MSN
AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...
What’s the Latent Space ? An Autoencoder is made of two components: an Encoder & a Decoder. The Encoder brings the input data from a high dimensional representation to a bottleneck layer, where the ...
Meta’s new SAM Audio AI model lets users isolate and edit sounds from mixed audio using text, visual or time prompts.
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