Tag : machine learning

AI model optimization makes AI models faster, smaller, and more efficient by improving performance and reducing resource requirements. Key techniques include pruning, quantization, knowledge distillation, and hyperparameter tuning. This enables deployment on resource-constrained devices and reduces costs.

AI is crucial for renewable energy to optimize resource utilization, improve forecasting, and enhance grid management, leading to a more sustainable and reliable energy system.

AI powers green computing by optimizing energy usage in data centers and devices, improving resource management, and promoting sustainable technology practices.

AI literacy is the ability to understand, use, and critically evaluate artificial intelligence systems, including their benefits, risks, and ethical implications.

AI literacy is the ability to understand, use, and critically evaluate artificial intelligence systems, including their benefits, risks, and ethical implications.

Human-AI interaction involves communication and collaboration between humans and AI through text, voice, gestures and visuals, with the aim of improving productivity, decision-making and user experience, while raising ethical and trust issues.