Back-to-basics approach can match or outperform AI in language analysis

A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...
Nature

AI models ‘subliminally’ transmit unsafe behaviours when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
Decrypt

Can AI Beat the Sports Betting Market? 8 of the Top Models Tried

Frontier AI models blew up betting on real-world football markets. They knew the right strategy—but failed to execute it. A ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
IEEE

A Survey of Advancements in DBSCAN Clustering Algorithms for Big Data

Abstract: Cluster analysis is an unsupervised machine learning job of grouping objects based on some similarity measure. Among clustering algorithms, DBSCAN (Density Based Spatial Clustering of ...
IEEE

LiDAR-Based Force Feedback Generation for Mobile Robots Using Random Forest Algorithm in Machine Learning

Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...