Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

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

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Abstract: Deep neural networks (DNN) are widely used in various fields and get great success, but one of the major challenges is interpretable mechanism of DNN model. In order to break through the ...

Nothing dominates the technology news cycle more than AI in its many forms, and for data professionals, the discussion often mentions deep learning. But what are the use cases for this technology? How ...

Google's most capable Gemini 2.5 Deep Think AI model is finally available for public users. It's a faster version of the AI model that achieved the Gold medal at IMO 2025. It's rolling out to Google ...

The goal is to provide the simplest implementation of a deep research agent that can refine its research direction over time and dive deep into any topic. Optimized for ease of use and understanding.