Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

This includes all stages of their lifecycle–from discovery and classification ... serving as a model elsewhere. How are emerging technologies reshaping NHI management? Advances in artificial ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

There are over 100 invasive plant species wreaking havoc on the state’s forests and waterways, but new technology may help ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Abstract: Recent advancements in foundation models, such as the Segment Anything Model (SAM), have shown strong performance in various vision tasks, particularly image segmentation, due to their ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...