Javier Del Ser

This article discusses the connection between FFA and Hebbian learning in AI.

Research aims to improve AI reliability and energy efficiency in diverse applications.

Polar-FFA improves learning in neural networks, enhancing accuracy and stability.

Discover a new method for AI learning that improves knowledge retention.

AI systems are learning to handle surprises and new information effectively.

AI models aid city planners in understanding urban heat and improving livability.

Combining human insight and machine power for better online discussions.