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Pruna is revolutionizing the efficiency of AI models through compression techniques, making them cheaper and more environmentally friendly. This innovation is crucial as the demand for AI applications continues to grow, necessitating more sustainable practices. The startup successfully raised $6.5 million to further develop its optimization platform.
In parallel, scientists are exploring genetic modifications in potatoes to enhance nitrogen absorption while maintaining year-round growth. This research addresses the environmental impact of excessive nitrate fertilizers, which can pollute water sources. The findings suggest a promising future for both agricultural practices and AI technologies in optimizing resource use.
• Pruna's AI model compression enhances efficiency and sustainability.
• Genetic modifications in potatoes aim to improve nitrogen absorption.
AI model compression reduces the size and resource requirements of AI systems, making them more efficient.
Genetic modification involves altering an organism's DNA to achieve desired traits, such as improved nutrient absorption.
An optimization platform enhances the performance of AI models, allowing for better resource management and efficiency.
Pruna focuses on AI model compression to improve efficiency and reduce costs in AI applications.
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