From Machine Learning to Machine Reasoning and why it matters for Life Sciences
Talk by Khai Pham
https://www.socallinuxexpo.org/scale/...
There are two main schools in AI: physicalist and symbolic. The 1st one focuses on reproducing the neurons to create intelligence. It is today known as machine learning and people often consider it as synonym to AI. It is based on satistical pattern recognition has produced amazing results. The 2nd one focuses on human cognition emergence through logics. Less known because the existing approaches are centralized and cannot handle mutiple reasoning types. Distributed Reasoning AI solves it and has been succesfully applied for drug R&D where understanding the causal level is crucial.
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