Some of the members from Facebook’s Data Science Team visited the Center of Data Science in March. The Team included Ali Cramer, who is responsible for Data Science Team’s recruitment, as well as two practitioners in Data Science, Hyan Park and Anurag Jain. They came there to discuss the roles of Data Engineers and Data … Continue reading Facebook Shares Data Science Career Insights with CDS
Do you want to work in the field of Cognitive Computing and don’t know which company to look for? Digital Reasoning can be one of the best options for you. Digital Reasoning recently visited NYU Center for Data Science and explained the need for data scientists in the modern world of Cognitive Computing. The information … Continue reading Digital Reasoning discusses Cognitive Computing
Cognizant’s Principal Analyst Visits CDS Tom Jirele, Principal at Cognizant Analytics Division visited the Center of Data Science (CDS) NYU in February and discussed Cognizant’s Data Analytics initiatives. Cognizant Technology Solutions is an American multinational corporation that provides custom information technology, consulting and business process outsourcing services. This information session was one of many such … Continue reading Cognizant’s Principal Analyst Visits CDS
Currently the John L. Loeb Associate Professor of the Social Sciences in Harvard University’s Department of Government, Arthur Spirling is a political scientist specializing in political methodology. In addition, he is affiliated with Harvard’s Institute of Quantitative Social Science and is Director of its Program on Text Research. Professor Spirling has been honored with Harvard University’s Everett … Continue reading Arthur Spirling To Join NYU This Fall As Joint Faculty in Center for Data Science and Department of Politics
… Below, a conversation with Mr. LeCun: Q. What is the significance of artificial intelligence? A. A.I. is how we will make sense of all of the information that will be out there in the digital world. A lot of interaction with each other and with the digital world will come from what you could call “digital … Continue reading Yann LeCun Discusses Digital Companions and Artificial Intelligence (and Emotions)
… Along with the glitter and popularity, visualization has attracted something else: popular criticism. It’s happening at a small scale; we don’t yet see infographics reviews in the New York Times Arts section. Nonetheless, when a striking visualization comes out, it’s not unusual to see commentary and controversy on the web, moving from blogs to … Continue reading Design and Redesign in Data Visualization
During my visit to General Electric’s Global Research Centers in San Ramon, California, and Niskayuna, New York, last month, I got what amounts to an end-to-end tour of what GE calls the “Industrial Internet.” The phrase refers to the technologies of cloud computing and the “Internet of Things” applied across a broad swath of GE’s … Continue reading Machine consciousness: Big data analytics and the Internet of Things
It’s a simple enough question: how long does a typical business have to live? Economists have been thinking about that one for decades without a particularly clear answer, but new research by SFI scientists reveals a surprising insight: publicly-traded firms die off at the same rate regardless of their age or economic sector. Continue reading Company mortality: Researchers find patterns in the life and death of firms
… the point of today’s posting is the long, long awaited release of a public version of the Integrated Conflict Early Warning System (ICEWS) dataset, which appeared without fanfare on Dataverse late in the afternoon on Friday, 27 March, with Jay Ulfelder probably responsible for first spotting it. This is a massive resource—the investment in … Continue reading Seven observations on the newly released ICEWS data
Apple has quietly—and not so quietly—been buying up Big Datacompanies over the past few years, most recently acquiring FoundationDB but in 2013 also purchasing Acunu, maker of a real-time analytics platform. The intent seems to be to purchase data infrastructure talent—and very particular talent at that. Basically, Apple needed to get into NoSQL database technology in a bad … Continue reading Why Apple Had To Take The NoSQL Plunge
