AI scientists are starting to study AI models as if they are novel biological organisms in order to understand their inner ...

Abstract: Due to the nonstationary nature, the distribution of real-world multivariate time series (MTS) changes over time, which is known as distribution drift. Most existing MTS forecasting models ...

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

Abstract: Multifunction radars are highly adaptive systems that employ phased array antennas and can simultaneously perform multiple working modes, such as search, tracking, recognition, and guidance.

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...