Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

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 ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Laptops powered by the Qualcomm Snapdragon X2 Elite go on sale soon and we've taken two machines for a spin through an array of benchmarks. - Page 2 ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

The study examines detection systems, cryptographic provenance frameworks, watermarking techniques, adversarial resilience, and governance mechanisms, presenting deepfake mitigation as a complex, ...

Today's bond market looks very different from what it did just a few decades ago. Not only has the structure of the market ...

For weeks, they’d been having furtive discussions about whether Sam Altman, OpenAI’s C.E.O., and Greg Brockman, his second-in ...

THE ECONOMY YOU NEVER SIGNED UP FOR What information consumes is rather obvious: it consumes the attention of its recipients.

AI has scaled content production, but not trust. Here’s how marketers can close the gap with strategy, storytelling, and ...

Managing your cloud setup can feel like a puzzle sometimes, especially with all the different services AWS offers. Amazon EC2 ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...