Using machine learning to tackle some of the world’s biggest problems (Infographic)

Presented by AWS Machine Learning


It takes a combination of imagination, innovation, and machine learning to help create change in the world. The promise of machine learning for social good is being realized as the technology evolves to a point where organizations across industries and categories can leverage its unique power. Innovators are tapping into the best practices, in-depth expertise, and powerful solutions of companies like AWS to launch new initiatives and solutions that are improving lives and protecting our planet right now.

With machine learning, organizations are making inroads toward protecting biodiversity, supporting our veterans, finding homes for the homeless, understanding climate change, and more. But this is just the beginning.

Here’s a look at some of the world’s most powerful, promising applications of machine learning to benefit society.

For a more in-depth read, see this recent article on VentureBeat and see more ways machine learning is being used

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The World’s Top Gold Mines [Infographic]

Concerns are mounting about whether the world has reached “peak gold” after the price of the commodity soared to a record high last month. The coronavirus has plunged the U.S. economy into a recession since February and the ongoing financial carnage has prompted investors to hedge against that volatility, driving gold prices past $2,000 per ounce for the first time in history in August. Rising political uncertainty in the U.S. is another reason demand for gold is rising with UBS recently warning its clients to buy safe-haven assets such as gold in case there is a contested presidential election that leads to further stock market volatility.

The level of demand for the precious commodity is now prompting serious questions about whether global gold reserves are being exhausted. Indeed, some experts think we have already reached “peak gold” with yearly production largely levelling off in recent years. In fact, mining is

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