Since AI began seeping into our online lives, uncertainty has been a common response. This MasterClass is built to help you ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

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

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

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

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 ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

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

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 ...

Tech’s founding prophets called the AI Revolution decades early, and got quite a few things wrong about it, finds Satyen K.