Tag : artificial intelligence

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 for Good refers to the use of artificial intelligence to solve global challenges and improve human well-being. It improves healthcare, education, environmental sustainability, disaster response, social justice, agriculture, smart cities, financial inclusion, and humanitarian aid. Ethical AI governance ensures fairness, transparency, and accountability, maximizing the positive impacts of AI and minimizing the risks.

Regenerative AI in drug discovery uses machine learning to generate new molecular structures with desired properties, mimicking natural selection to refine promising candidates for drug development.