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 ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
Meta’s new SAM Audio AI model lets users isolate and edit sounds from mixed audio using text, visual or time prompts.
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
Abstract: This letter explores the architecture of tiny machine learning (TinyML). Deploying machine learning into embedded devices is challenging due to the limited computation power and memory space ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Explore behavioral analysis techniques for securing AI models against post-quantum threats. Learn how to identify anomalies and protect your AI infrastructure with quantum-resistant cryptography.
Abstract: Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback