Reverse Hypothesis Machine Learning: A Practitioner's Perspective (Intelligent Systems Reference Lib

One noteworthy DARPA project is called Big Mechanism, which is developing an AI system that can read research on cell biology, extract enough information out of it to construct a candidate model of cancer pathways in the cell, interact with a human biologist to try to refine the model, and develop a hypothesis and a causal model of what is happening. Another DARPA program, called Lifelong Learning Machines (L2M), enables systems to improve their performance over their lifetimes with machine learning. Current machine learning systems require huge data sets upfront that are used to train the model, but if the data changes, the model does not necessarily keep up. The L2M program is trying to get beyond this limitation so that machine learning programs can adapt models in the real world, and instantaneously.

Reverse Hypothesis Machine Learning: A Practitioner's Perspective (Intelligent Systems Reference Lib

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