Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abstract: As educational technologies mature at a growing rate, effective models of instructional delivery systems that can deliver learning experiences based on the individual learner’s learning ...
Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Abstract: Crime is a widespread problem that upsets social harmony and presents serious difficulties for law enforcement. Effective crime prevention and resource allocation depend on an understanding ...