In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

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 ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

In special education in the U.S., funding is scarce and personnel shortages are pervasive, leaving many school districts struggling to hire qualified and willing practitioners. Amid these ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

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