The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Fourteen years ago, Michael Pollan offered us Food Rules. Today, researchers armed with machine learning and 50,000 grocery items are trying to turn Pollan’s “wisdom” into science. The findings ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide and eventually turn into shapes – be they organs, wings or limbs. Scientists ...

Oilseed rape, a vital oilseed crop facing growing global demand, encounters a significant challenge in achieving uniform seed maturity owing to asynchronous flowering. Traditional maturity assessment ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...