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  • Artificial intelligence (AI)-powered picture analysis is 90% more effective than conventional analysis in wildlife conservation efforts, freeing experts to focus on conservation plans.
  • AI systems can boost cancer detection by up to 13%.
  • Incorporating AI tools into food production processes can increase per-acre crop growth by up to 21%.
Wildlife Protection Modern AI has already found an important place in preserving wildlife and assisting conservationists.
Picture analysis, using platforms like Wildlife Insights, is 90% more effective and significantly faster than conventional methods, allowing conservationists to monitor wildlife movements in real time.
Cancer Diagnosis Tools like Mia boost breast cancer detection rates by up to 13%. This gives patients a better chance of recovery and reduces the need for invasive treatments.
Food Production Incorporating modern tools into food production processes has been shown to boost crop yields and reduce the use of pesticides. India’s Saagu Baagu has found that real-time advice and soil analysis improved crop growth by 21%.
AlphaFold is probably the greatest recent advance in therapeutics R&D. So much more work to do, but AlphaFold and related methods have already changed the game.
There are things our current combo of LLMs and data are bad at. There are reasons why AlphsFold works really well, but we can't, for example, do similar with non-canonical amino acids. I am collecting examples of significant problems our current AI tech can't solve (possibly because we lack deep data) if anybody has any they want to share.
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