The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Abstract: Hate speech detection is crucial in curbing online toxicity and fostering a safer digital environment. Previous research has proposed the use of a hybrid CNN-RNN model for this purpose. This ...

Abstract: With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the ...

Though rare disease diagnosis is a particularly hard challenge for AI (as it is for humans), popular language models ChatGPT and Gemini show promising performance when trained on diagnostic cases from ...

We adopted deep learning approaches which involved 6 different deep learning architectures to train our AI models. We subsequently evaluated the performance of each model using a hold-out data set and ...