This Review provides a comprehensive discussion of how methods in machine learning and computer vision have been used to improve super-resolution microscopy to gain insights into subcellular biology.
Complex digital representations of organs were reconstructed by computationally generating virtual slices from sparsely sampled planar spatial transcriptomic data, exemplified by a 38-million-cell ...
Morning Overview on MSNOpinion
When should you jump? The “boiling frog” trap of AI in physics class
Artificial intelligence is sliding into physics classrooms so smoothly that it can feel like a harmless upgrade rather than a ...
Morning Overview on MSN
DeepSeek’s trick: smarter AI without simply scaling size
DeepSeek has become the rare AI lab that improves capability without simply throwing more compute and parameters at the ...
This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...
An inside look at an opaque process by Paul Gompers, Will Gornall, Steven N. Kaplan and Ilya A. Strebulaev Over the past 30 years, venture capital has been a vital source of financing for high-growth ...
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