Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...
A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...
When I checked my 10-year-old daughter’s TikTok messages in early February 2026, I expected to find the usual mix of dance ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Researchers have developed a cutting-edge technique that uses RNA “barcodes” to map how neurons connect, capturing thousands ...
IEEE Spectrum on MSN
Over-the-air computation uses radio interference to crunch data
Sensor networks could improve capacity faster than they grow ...
Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.
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