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AI for Good

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AI for Good is a year-round digital platform where AI innovators and problem owners learn, build and connect to identify practical AI solutions to advance the United Nations' Sustainable Development Goals (SDGs).

We have less than 10 years to solve the United Nations’ Sustainable Development Goals (SDGs). AI holds great promise by capitalizing on the unprecedented quantities of data now being generated on sentiment behaviour, human health, commerce, communications, migration and more.

The goal of AI for Good is to identify practical applications of AI to advance the United Nations Sustainable Development Goals and scale those solutions for global impact. It’s the leading action-oriented, global & inclusive United Nations platform on AI.

AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.  Visit the site here and join the platform if interested.

Curated by mokiethecat

Beyond black-box AI: Expressive neural networks for smarter, lighter intelligence​​

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Challenging the notion that AI must be massive, this webinar introduces the Expressive Neural Network (ENN). Unlike resource-intensive Large Language Models (LLMs), ENNs rethink activation functions using the Discrete Cosine Transform. This innovative architecture enhances flexibility, speeds convergence, and creates significantly smaller models, reducing energy and computational costs.

ENNs bridge traditional signal processing with modern AI, revolutionizing edge computing by enabling efficient AI in resource-constrained environments. This approach emphasizes expressiveness over size, positioning ENNs as a precision tool for future neural networks. Organized by the free ITU Journal on Future and Evolving Technologies (ITU-J FET), discover more about the journal and explore the full webinar series programme.

EarthSayers Ian F. Akyildiz; Alessia Magliarditi; Ana Pérez-Neira

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