Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year ...
Discover how long-term growth expectations drive investment decisions and stock valuations. Explore new research that reveals ...
Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. They ...
A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
Researchers from the University of Oxford have benchmarked artificial intelligence (AI) tools capable of automatically ...
A new study made a version of GPT-5 Thinking admit its own misbehavior. But it's not a quick fix for bigger safety issues.
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...
Abstract: The most common traditional approaches to summarizing large texts while retaining their importance are TF-IDF and TextRank. However, these methods often fail to retain narrative coherence ...
Abstract: The shifted frequency-based electromagnetic transient (SFEMT) simulation is much more efficient than traditional electromagnetic transient (EMT) simulation for AC grids. This letter proposes ...
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