In what IBM is characterizing as a “breakthrough,” researchers have developed an algorithm that cuts the computational costs of assessing data quality by two orders of magnitude. The new algorithm has potentially far-reaching applicability, extending to nearly all types of analytics applications as well as scientific modeling and simulation.
Striking a balance between science and software engineering.
DOE supers used for nano-scale simulations.
More angst about high frequency trading.
Portability or efficiency? Neither is guaranteed when writing explicit parallel code.
IBM is pitching the idea of using predictive modeling to make business decisions.