Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Abstract: Autism Spectrum Disorder (ASD) is characterized by repetitive and restricted behavior, involving challenges for subjective detection methods. There is a need for an objective diagnostic ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...