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 ...
Research shows AI models exhibit loss chasing, illusion of control, and risky behavior when given freedom in gambling ...
Abstract: Dynamic functional connectivity (DFC) extracted from resting-state functional magnetic resonance imaging (fMRI) has been widely used for neuropsychiatric disorder classifications. However, ...
The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
A large and diverse HSI dataset named HSIHybrid was curated for large-scale HSI pre-training. It consisted of 15 HSI datasets from different hyperspectral sensors. After splitting into image patches, ...
The acquisition of sentence embeddings often necessitates a substantial volume of labeled data. However, in many cases and fields, labeled data is rarely accessible, and the procurement of such data ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...
Abstract: Electroencephalography (EEG) plays a key role in the clinical evaluation of epilepsy and provides strong support for treatment decisions. However, analyzing and decoding EEG recordings is a ...
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