Développer / Develop

Harvard University (12/12/13) Caroline Perry   Harvard University researchers have shown that an important class of artificial intelligence (AI) algorithms could be implemented using chemical reactions. The researchers note that the machine-learning algorithms, which use a technique called "message passing inference on factor graphs," are a mathematical coupling of ideas from graph theory and probability and already function as critical components of everyday tools. They say that in the long term, these theoretical developments could lead to "smart drugs" that can automatically detect, diagnose, and treat a variety of diseases using a cocktail of chemicals that can perform AI-type reasoning. "This work shows that it is possible to also build intelligent machines at tiny scales, without needing anything that looks like a regular computer," says Harvard professor Ryan P. Adams. The research also could produce methods for analyzing natural biological reactio...