Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...
How chunked arrays turned a frozen machine into a finished climate model ...
Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility ...
As Louisiana prepares to implement a statewide computer science graduation requirement, students at the Louisiana School for ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...
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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 ...
Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...
This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
As artificial intelligence (AI) continues to become a core differentiator across industries, dealmakers are seeing more ...
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