In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

ABSTRACT: The constant wear and tear experienced by rail surfaces due to continuous loading necessitates repairs for maintaining optimal performance within railway networks. Traditional repair methods ...

ROC, an American-made provider of multimodal biometrics and Vision AI, announced Thursday that its latest face recognition algorithm achieved top global marks for accuracy and speed in the National ...

ABSTRACT: To overcome the problem of calculation errors in the Born approximation when the forward accumulation effect is strong in VTI media, this article combines the De Wolf approximation method ...

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...

According to Brommer, it is no longer necessary to know which sensor is being used. Whether GPS, magnetometer/compass or speedometer, the data can simply be passed on to the algorithm and the sensor ...

Introduction: Aging is associated with a decline in essential cognitive functions such as language processing, memory, and attention, which significantly impacts the quality of life in later years.

As AI systems become more capable, speech is fast becoming the default way we communicate with machines. French AI startup Mistral has jumped into the audio race with its first open model, aiming to ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...