The playbook for digital marketing has fundamentally shifted. For years, small businesses and growing enterprises followed a ...
AI’s growing use in investigations raises new legal challenges, from verifying evidence authenticity to constitutional rights ...
When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...
In North Austin’s Rundberg neighborhood, a group of fed-up residents has quietly launched its own high-tech gunshot alert ...
Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.
Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...
Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.
Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...
Abstract: High-quality community detection in complex networks typically relies on the similarity between nodes to select communities. However, when a node exhibits the same similarity with different ...
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