Researchers at the Leibniz Institute of Photonic Technology (Leibniz IPHT) in Jena, Germany, together with international ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Imagine a world where every smart device, from traffic sensors to wearable health monitors, can seamlessly communicate. This vision is at the heart of Massive Machine Type Communication (mMTC), a ...

Learning Objectives: 1. Applying deep learning to neural populations overcomes data limitations that hinder analysis of single-neuron data. 2. Deep learning models consistently outperform traditional ...

Learn how MCP’s standardized framework simplifies AI tool collaboration, eliminates custom integrations, and boosts ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Microsoft Corporation's 'Mu' redefines AI with private, on-device inference, addressing privacy concerns and enabling an ...

Four Explanatory Models for Trump’s Chaos It’s clear that the second Trump administration is aiming for change—not inertia—in U.S. foreign policy.

This paper introduces a model-free predictive controller (M-fPC) to allow delay compensation carried out locally in networked microgrids. As the prediction horizon of the existing model predictive ...