We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Waymo’s valuation tops $100 billion as robotaxi rides surge and autonomous miles hit new records, positioning Alphabet for ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Explore the essential incident management tools tailored for CIOs in 2025, focusing on AI automation, downtime reduction, and improved operational efficiency. Uncover their features, pricing, and ...

Age checks no longer stop at store counters or ticket booths. They now shape access to social media, online games, streaming services, and regulated products such as alcohol, tobacco, and gambling. In ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...