IEEE Spectrum: Why Small AI Models Could Power Health Care Where Big Tech Cannot

The future of AI relies on small, precise models used at the edge, as highlighted by IEEE Spectrum. These models, like the RxScanner Lite, are crucial for providing services in areas with limited resources. With the potential to transform healthcare and agriculture, small AI may reach more people than larger models, despite underlying infrastructure challenges.

What the Global South Teaches Silicon Valley About Deploying AI Responsibly

The World Bank warns that the AI revolution could exacerbate inequalities between rich and poor countries, as poorer nations struggle to benefit from AI advancements. Adebayo Alonge emphasizes the need for "small AI," tailored to local contexts, advocating for precision in development and funding to adequately support impactful applications that save lives.