Australia now requires internet search engines to blur violent and sexual images to reduce the chances that minors can see… ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Australia’s legislation prohibiting kids under 16 from having social media accounts takes effect on December 10. On that day, 2.8 million young people in Australia will be booted out of their existing ...

Background: Traditional congenital heart surgery quality assessments rely on indirect standardization via regression, which can be complicated by heterogeneity in case-mix, surgical volume, and low ...

Thanks for your great work on Med-Gemma! I’d like to ask about inference optimization: Does the current inference interface support FlashAttention-2 for acceleration? If not, are there plans to add ...

Introduction: Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) ...

Generating synthetic datasets that accurately reflect real-world observational data is critical for evaluating causal estimators, but remains a challenging task. Existing generative methods offer a ...

Abstract: The development of power systems requires advanced technologies for transient voltage measurement. In non-contact measurement, accurately determining the coupling parameters between the ...