Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
Researchers developed AI tools that designed drug molecules while accounting for protein movement during binding. The tools ...
Collov's visual intelligence model has contributed to a 20x increase in revenue due to its ability to generate highly specific, accurate images, and was the first consumer application to be directly ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to ...
This is a useful study that seeks to elucidate the molecular mechanisms underlying spinal motor circuit assembly. The authors demonstrate that loss of Onecut transcription factors in spinal motor ...
What physical processes govern the movement of microscopic structures capable of interacting with their environment? The ...
Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...
The default mode network (DMN) is a distributed set of interconnected brain regions that has long been associated with ...
Scientists Use AI to Map Ocean Currents in Incredible Detail ...
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