Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: We report an on-wafer computer-aided frequency tuning method for interdigital transducer (IDT)-based acoustic wave resonators and filters exploiting a selective patterning technique.

TuneSalon AI Desktop is an open-source desktop application that lets anyone create custom AI models through fine-tuning. Upload your training data, pick a model, click train, and chat with your custom ...