Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

As artificial intelligence adoption grows across sectors, professionals who build expertise in machine learning and ...

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 ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive ...

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

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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.

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

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