Abstract: Given the global coverage provided by the global navigation satellite system (GNSS) signals, the GNSS-based passive radar shows potential in maritime moving target detection. However, the ...

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...

Recursive Superintelligence, founded by former Google, Meta and OpenAI researchers, is part of a growing effort to automate the creation of artificial intelligence. By Cade Metz Reporting from San ...

Train Any Model on Any Dataset. 📊 Time series analysis leaderboard is now available on our 🤗 Hugging Face space. Discover the performance of different models! This is also the official repository ...

Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...