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WNCG professor Atlas Wang received a Data Science Research Award from Adobe for his work on “Towards Automated Design of Efficient Deep Multi-Modal Recommendation Models.” Every year, Adobe funds a university faculty research program to “promote the understanding and use of data science in the area of marketing with the goal “to encourage both theoretical and empirical development of solutions to problems in marketing.”

Advances in machine learning are announced every day, but efforts to fundamentally rethink the core algorithms of AI are rare.

Currently, local utilities in the U.S. generate 12 percent more energy than they anticipate needing. Otherwise, if they experience a brownout or blackout, utility companies face heavy penalties from the government. “Most of that extra energy is going to waste,” WNCG Prof. Brian Evans states. “If utility companies had access to better information, they could predict user demand and how it evolves over the day. They could reduce energy waste by around four-to-six percent.”