Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...
The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
From the perspective of US-China competition, the significance is not simply that Washington wants more AI. It is that the ...
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