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Using generative ai algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties Our goal isn’t to replace programmers 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.
Mit news explores the environmental and sustainability implications of generative ai technologies and applications. The hard part is everything else Their method combines probabilistic ai models with the programming language sql to provide faster and more accurate results than other methods.
This has got to be the worst ux ever
Who would want an ai to actively refuse answering a question unless you tell it that it's ok to answer it via a convoluted and not directly explained config setting The actual setting is currently called Ben vinson iii, president of howard university, made a compelling call for ai to be “developed with wisdom,” as he delivered mit’s annual karl taylor compton lecture. Mit researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability
This could enable the leverage of reinforcement learning across a wide range of applications. An ai that can shoulder the grunt work — and do so without introducing hidden failures — would free developers to focus on creativity, strategy, and ethics” says gu “but that future depends on acknowledging that code completion is the easy part
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