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NeuroClaw tackles the reproducibility crisis in neuroimaging by letting LLMs directly wrangle raw, messy neuroimaging data, slashing errors and boosting reproducibility scores.
Imagine automating the tedious engineering tasks in embodied AI development with a conversational agent, freeing researchers to focus on core algorithmic innovation.
LLMs in medicine may be dangerously overhyped: even the best models achieve only 39% accuracy on a contamination-free, real-world clinical benchmark, with performance tanking on newer cases.
