Schools

Hoboken’s Stevens Institute Is Trying To Crack The Secrets Of AI

Jean Zu: "Artificial intelligence is transforming the world and industry as we know it."

HOBOKEN, NJ — A Hoboken college is upping the ante on their quest to probe the potential of artificial intelligence, otherwise known as “AI.”

Stevens Institute of Technology recently announced the formation of the Stevens Institute for Artificial Intelligence (SIAI), an “interdisciplinary, tech-driven collaboration of experts” devoted to using the developing science to make the world a better place to live.

Learn more about the SIAI here.

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“Artificial intelligence is transforming the world and industry as we know it, and the future of AI remains seemingly limitless,” said Jean Zu, dean of the Charles V. Schaefer Jr. School of Engineering and Science.

“In a world where AI-enabled innovation continues to rapidly evolve, SIAI and its Stevens collaborators will synergistically develop solutions to real-world problems, while providing a platform for training students to be the next generation of AI thought leaders,” Zu said.

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According to a university news release, the new institute will be headed by K.P. “Suba” Subbalakshmi, a professor of electrical and computer engineering and a Jefferson Science Fellow.

Subbalakshmi and his peers will be tasked with building upon existing AI and machine learning research at Stevens. Overall, the effort will involve more than 40 faculty members across Stevens’ three schools and one college, and will specialize in the following areas:

  • healthcare and biomedical applications
  • financial technology
  • cybersecurity
  • foundations of AI and machine learning
  • social impact
  • art and music
  • cognitive networking and computing
  • robotics, perception and human-machine interaction
  • energy and environment

“The faculty’s knowledge of cognitive networking and computing, and depth of experience developing insights from massive data sets and machine learning applications, uniquely positions the SIAI to provide timely direction for advancing capabilities in healthcare, financial technologies, systems engineering environments and workforce enhancement,” Zu said.

“We are excited about the growth opportunities that AI presents and using them to amplify existing excellence across labs and centers already engaged in intelligence research.”

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