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AI can help find more places to store captured CO2 underground
Scientists dream of storing captured CO2 emissions underground, but it can be tricky to find pockets for storing those emissions -- Earth's seismic "hum" makes it difficult to spot the low-frequency waves that would best help map the subterranean landscape. That might not be a challenge in the future thanks to AI. MIT scientists have developed a machine learning system that uses earthquakes to accurately estimate those low-frequency waves and map underground structures. The trick, according to researchers, was in the training.
Adobe trained AI to detect facial manipulation in Photoshop
A team of Adobe and UC Berkeley researchers trained AI to detect facial manipulation in images edited with Adobe Photoshop. The researchers hope the tool will help restore trust in digital media at a time when deepfakes and fake faces are more common and more deceptive. It could also democratize image forensics, making it possible for more people to uncover image manipulation.
MIT’s AI can train neural networks faster than ever before
In an effort "to democratize AI," researchers at MIT have found a way to use artificial intelligence to train machine-learning systems much more efficiently. Their hope is that the new time- and cost-saving algorithm will allow resource-strapped researchers and companies to automate neural network design. In other words, by bringing the time and cost down, they could make this AI technique more accessible.
