For decades, neurology treated the brain like a black box, nudging it with drugs and hoping symptoms would ease. Now ...

Abstract: Motion planning is a fundamental challenge in robotics, involving the creation of trajectories from start to goal states while meeting constraints like collision avoidance and joint limits.

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

Is AI a utopian promise or an existential threat? These 11 must-read books — featuring Annie Bot, Empire of AI and UnWorld — navigate the turbulent landscape of deepfakes, algorithmic bias, and the ...

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

Implementation of the IEEE TII paper Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics, 2022. @ARTICLE{9826438, author= ...

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

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

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

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...