Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

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 ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Can Non-Human Identities Enhance Security in High-Risk Environments? One intriguing question is whether Non-Human Identities (NHIs) can effectively reinforce security measures in environments ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...

A new study in Nature Food finds global assessments systematically underestimate hunger. One In Five Who Suffer From Hunger ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...