A new batch of modules in the Statistics Globe Hub is about to start. You can find more information about the Statistics Globe Hub, along with the full list of
Two recent surveys explore the application of AI and deep learning in distinct fields. One paper focuses on explainable AI for detecting mental disorders through social media, emphasizing the need for transparency in healthcare AI. Another survey reviews deep learning techniques for crops, fisheries, and livestock, highlighting challenges and future directions like multimodal data integration and edge-device deployment. Additionally, several articles discuss the distinctions between AI, Machine Learning, and Deep Learning, often with practical Python examples, while others highlight AI's role in agriculture and data science education. AI
IMPACT Clarifies distinctions between AI, ML, and DL, and surveys their applications in mental health and agriculture.