Lucidity Sciences says algorithmic changes can make AI more accurate and efficient
Lucidity Sciences’ CEO said the company focuses on algorithmic innovation to find underlying patterns rather than relying on massive data memorization, claiming improved accuracy and much faster training on tabular benchmarks compared with larger models.
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Lexi Posse, CEO and co‑founder of Lucidity Sciences, told the Deep Tech panel that many machine‑learning pipelines default to collecting vast amounts of training data and effectively memorizing patterns, which limits out‑of‑sample accuracy and costs substantial compute.
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