IBM turns to artificial intelligence to solve poverty, hunger, and illiteracy

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Data Science for Social Impact
Katie Dupere
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IBM launched "Science for Social Good," a program partnering its researchers with postdoctoral academic fellows and nonprofits. The initiative aims to tackle global societal issues like poverty, hunger, and illiteracy by leveraging data, artificial intelligence, and machine learning. Through 12 planned projects for 2017, aligned with the UN's Sustainable Development Goals, IBM seeks to drive significant positive change in areas such as improving food distribution in crises and assisting illiterate adults. The program emphasizes the role of advanced technology in solving complex social problems.

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