A new acoustic technology can isolate 90% of cells in just 15 minutes, dramatically outperforming traditional methods. But experts question whether this delicate MEMS-based approach can withstand the messy reality of biological research.
A groundbreaking study from the University of Bonn demonstrates that chemical language models don’t actually understand chemistry principles. Instead, these AI systems rely on statistical correlations and pattern recognition to predict molecular interactions, according to researchers.
Chemical language models (CLMs) being deployed in pharmaceutical and chemical research don’t actually understand the biochemistry behind their predictions, according to a recent study from the University of Bonn. The research, published in the journal Patterns, reveals that these specialized artificial intelligence systems operate primarily through statistical pattern recognition rather than genuine chemical knowledge.
