Machine-learning curve

This is the second article in a four-part series about applying Department of Energy big data and supercomputing expertise to cancer research. Visionary science fiction writers like Arthur C. Clarke often pictured a world in which humans and computers communicated using natural spoken language. But that vision had yet to materialize in 2001, much less now. Creating computers that can understand human language and make intelligent decisions based on programmed reasoning skills is a more challenging computational problem than most people appreciate, says Georgia D. (Gina) Tourassi, director of the Health Data Sciences Institute (HDSI) at Oak Ridge National Laboratory and co-principal investigator of the Joint Design of Advanced Computing Solutions for Cancer collaboration between DOE and the National Cancer Institute (NCI). Yet, cancer experts agree, having the computational tools…


Link to Full Article: Machine-learning curve

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