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Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative ai advancements during the inaugural symposium of the mit generative ai impact consortium (mgaic) on sept Using generative ai algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties The top candidates they discovered are structurally distinct from any existing antibiotics, and they appear to work by novel mechanisms that disrupt bacterial cell membranes.
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