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.

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, ...

The technique, called DiffProtect, quietly rewrites a person’s face in a photograph using the same generative technology ...