AI is helping us achieve the SDGs: 3 Pathbreaking Developments.

Seven years ago, world leaders convened in New York and agreed on 17 Sustainable Development Goals (SDGs) to address important issues such as poverty, hunger, inequality, climate change, and health. In recent years, the epidemic has likely deflected focus away from some of these challenges. However, even before COVID-19, the UN has warned that progress toward the SDGs was not occurring at the rate or scale required. It will be difficult to achieve them by 2030.

1. The handheld lab-on-a-chip molecular diagnostics system built with AI for malaria detection could revolutionize how the disease is identified in remote parts of Africa. The Digital Diagnostics for Africa Network is leading the project, including colleagues such as MinoHealth AI Labs in Ghana and Imperial College London's Global Development Hub.
2. Smart sensing technology is also assisting farmers in making better fertilizer decisions and reducing environmental impact. Growers will be able to optimize the time and amount of fertilizer they put on their crops, considering elements such as weather and soil condition, thanks to an intriguing research initiative financed by the EPSRC, Innovate the UK, and Cytiva. This will save money and reduce the negative impacts of over-fertilizing soil.
3. Machine learning is being used by the Alan Turing Institute, the United Kingdom's national hub for data science and artificial intelligence, to better comprehend the intricate relationships between climate and Arctic sea ice.

These are the only few developments, and many more are underway. The bottom line is that the avenue of AI is tremendous, and we are gradually moving towards opening up the avenue.