For decades, neurology treated the brain like a black box, nudging it with drugs and hoping symptoms would ease. Now ...
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 ...
WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
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.
Omarkhan Samarkanov, Masoud Riazi School of Mining and Geosciences Presented at: 6th EAGE Global Energy Transition Conference & Exhibition (GET ...
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...
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 ...
Building on Long Track Record in Aerial Imaging, Ambarella Expands Focus for On-Device AI, Enables Smarter Autonomy for ...
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= ...