A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...
14hon MSN
AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
Morning Overview on MSN
New symmetry method pulls maximum work from unknown quantum states
Imagine a power plant that runs at peak efficiency even when no one knows what fuel is being fed into it. That is, roughly, ...
Classical schools focus on Western content and American ideals. “We are going to honor the creation of our flag. We are going ...
Quantitative trading plays an ever-increasing role in the global financial markets. Automated algorithms analyse millions of ...
Faculty and students from the Department of Mathematical Sciences recently represented the U of A at two regional conferences focused on mathematics and mathematics education, highlighting innovative ...
Weighing up arguments, drawing logical conclusions and deriving a clearly correct answer—such tasks have so far presented ...
In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
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