Abstract: In this article, the recursive filtering problem is investigated for a class of complex networks (CNs) incorporating amplify-and-forward (AF) relays and subject to double time-correlated ...
Abstract: Implicit neural representation (INR) has been a powerful paradigm for effectively compressing time-varying volumetric data. However, the optimization process can span days or even weeks due ...
What this repo does: it trains LLMs to think in a divide-and-conquer (DAC) way via an end-to-end RL pipeline. Core idea: instead of only learning sequential chain-of-thought (CoT), the policy learns ...
United States Immigration and Customs Enforcement is leveraging Palantir’s generative artificial intelligence tools to sort and summarize immigration enforcement tips from its public submission form, ...
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