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Machine-learning analysis reclassifies armed conflicts into three new archetypes
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
ICE has been using an AI-powered Palantir system to summarize tips sent to its tip line since last spring, according to a newly released Homeland Security document.
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
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