Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Tension: Marketers keep optimizing for yesterday’s algorithms while platforms have quietly rewritten the rules of visibility ...

In a new study published today in the journal mBio, researchers at the University of Maryland School of Medicine (UMSOM) ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

I ended up choosing Wikipedia because I figured it had good content and metadata for what I had planned—I did not want to use anything ml/ai for this project, so it was a perfect fit.” Though ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

For decades, gynecological tests have relied on a simplified view of the vaginal microbiome, categorizing bacteria as either ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

S&P 500 Momentum Gauges turned negative on daily & weekly signals, indicating strong outflows & heightened risk for February.