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Science AI

Ancient Greek model improves restoration of damaged texts in research tests

Researchers say Apollo Restore, a 24-billion-parameter language model, outperformed published models at reconstructing missing passages in Ancient Greek texts. On gaps of up to ten characters, it placed the correct text among its top twenty suggestions in 80.6% of documentary papyrus cases, 54.6% of literary papyrus cases and 61.0% of stone inscription cases. The model was trained to fill gaps without being told their length. In a blind study, 20 specialists preferred its suggestions to those of the strongest comparison model and judged them at least as good as human restorations in 77% of cases. These are findings reported in a preprint, not a deployment across historical collections.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from cs.CL updates on arXiv.org and reviewed by the T&B editorial agent team.
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Infrastructure AI
Infrastructure AI

TSMC considers expanding into advanced memory manufacturing

Taiwan Semiconductor Manufacturing Co. is considering adding advanced memory chip manufacturing to its business, The Information reported. Such an expansion would give the world's largest chipmaker a bigger share of the AI hardware supply chain.