A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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 ...

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Python has become the most popular language for using AI, and its creator believes that there’s an interesting reason why this is ...