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

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

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

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

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

Google aims to remove a significant obstacle that has limited the broader adoption of its chips by outside developers.

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

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production.Modern Python tools enhance mode ...

In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected ...