Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
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Unlocking nature's code: Researchers draw parallels between AI models and genetic encoding
In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College Dublin propose an innovative analogy between AI models and genetic encoding to ...
In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for conditions from Alzheimer’s to cancer, eliminating the need to build separate ...
Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic algorithms ...
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