Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: ...
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Scalable memtransistor arrays show potential for energy-efficient artificial neural networks
Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...
A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
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