A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

Background Steatotic liver disease-related hepatocellular carcinoma (SLD-HCC), a rising global challenge, is characterised by ...

Skeptical Intelligence has never been more important to filter and improve the contribution that AI can deliver to our live and businesses.

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

FORESIGHT-ID is a multi-machine learning platform designed to accurately model and forecast greenhouse gas (GHG) emissions ...

China has considerable advantages, and neither superpower seems eager to cooperate to avoid catastrophe. And given AI’s world ...

This infographic highlights single-cell sequencing workflows, multiomics integration and emerging applications that are ...

Systematic monitor analytics approach evaluates power and performance of silicon from a small volume of test chips to the ...

The moment you walk through the doors of Rinky Dink Flea Market in Marietta, Ohio, you realize you’ve made a critical ...