CCLS EV Research Featured on Power Engineering
Di-BOSS Featured by New York Observer
Company Mention Detection for Large Scale Text Mining won Best Paper Award
GE Uses AI to Charge Electric Cars Without Running Up the Bill

CCLS EV Research Featured on Power Engineering

CCLS's Electric Vehicle intelligent charging work in collaboration with GE Research and FedEx was featured in the article "Con Edison and Partners Drive Electric Vehicle Research Forward" by Power Energineering.

The URL to this article is here.

Di-BOSS Featured by New York Observer

Di-BOSS, the digital building operation system solution jointly developed by Columbia Center for Computational Learning System, Rudin Management, and Finmeccanica, is featured in the article The Next Big Thing by the New York Observer.

Company Mention Detection for Large Scale Text Mining won Best Paper Award

A paper by Becky, Tifara, and Boyi won best paper award at the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. The citation is as follows:

Passonneau, Rebecca J.; Ramelson, Tifara; Xie, Boyi. 2014. Company Mention Detection for Large Scale Text Mining. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K, Special Session on Text Mining). 21-24 October, Rome Italy.

 

GE Uses AI to Charge Electric Cars Without Running Up the Bill

CCLS is featured in the article GE Uses AI to Charge Electric Cars Without Running Up the Bill by Wired.

"It’s a complicated problem, which is why General Electric, teaming up with Con Edison and researchers Columbia University’s Center for Computational Learning, has picked out one element of the puzzle to address first: How to run EV chargers in New York City buildings without also running up a ginormous bill."

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