Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
europesays

Why networks will define Africa’s AI economy – Intelligent CIO Africa

Samer Lutfi, Head of MEA Hyperscaler and AI Cloud at Nokia Africa’s AI future will be built on its networks, writes Samer Lutfi, Head of MEA Hyperscaler and AI Cloud at Nokia. The technology industry ...
IEEE

Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation

Abstract: Event cameras form a fundamental foundation for visual perception in scenes characterized by high speed and a wide dynamic range. Although deep learning techniques have achieved remarkable ...