Researchers used a generative AI tool trained on millions of protein sequences to design CRISPR gene-editing proteins, expanding beyond natural limitations. AI-designed systems successfully functioned in the laboratory, offering broader editing capabilities. 'Expanding the repertoire of editors, using AI, could help,' says synthetic biologist Alan Wong.
Quantum transformers adapted from deep learning models categorized medical images with significant accuracy on a six-qubit quantum computer, comparable to classical transformers. Quantum computers, with their varied qubit states, may better represent real-life data than binary classical computers, indicating potential for quantum computing applications. 'Quantum computers are not expected to be a computational panacea, but we won't know until we try,' adds quantum computing researcher Christopher Ferrie.
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