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UMass to team with IBM

  • Contributed photo


Tuesday, February 13, 2018

AMHERST – The Center for Data Science at the University of Massachusetts has been selected by IBM to join an international consortium of leading universities working with IBM to develop technologies needed to help fulfill the promise of artificial intelligence.

The collaboration builds on the international reputation of the University’s College of Information and Computer Sciences as a research leader in artificial intelligence and information retrieval.

 IBM will work side by side with UMass Amherst, where researchers from both entities will “develop new methods to extract semantic meaning from text, and discover broadly useful logical implications using deep neural networks,” says UMass Amherst Center for Data Science Director Andrew McCallum. McCallum is a leading expert in statistical machine learning applied to text, including information extraction, graphical models, and deep learning.

 The mission of the new IBM AI Horizons Network is to apply AI technologies to some of the world’s most enduring challenges. IBM researchers work with world-class faculty and top graduate students on a series of advanced research projects and experiments designed to accelerate the application of artificial intelligence, machine learning, natural language processing and related technologies.

“IBM is committed to working side by side with the best minds in academia,” said Brent Hailpern, scientific director, AI Horizons Network, IBM Research. “With the students and faculty of UMass Amherst, we seek to inspire the next generation of scientists by providing access to leading-edge AI tools and expertise to solve real problems that impact human lives.”

“The collaboration between IBM and UMass Amherst will build upon both organizations’ significant strengths in artificial intelligence,” says Laura Haas, dean of UMass Amherst’s College of Information and Computer Sciences. “Together, we will use deep learning methodologies and technologies to find new ways to mine information, advancing knowledge creation in fields like health care and materials science.”


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