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The Artificial Intelligence Frontier

Harnessing Artificial Intelligence for Intelligence Augmentation >>>

Building on expertise in artificial intelligence, data science, systems engineering, neuroscience, human factors, robotics, immersive visualization, and education, among others, to accelerate human-technology partnerships toward seamless augmentation, ethically and sustainably.

Machine Learning Research Partnership with Amazon

As part of the Amazon - Virginia Tech Initiative for Efficient and Robust Machine Learning initiative, Virginia Tech faculty members will be invited to submit machine learning sponsored research projects for Amazon that work to revolutionize the way the world uses and understands this field of modern technology. Research project proposals may include support for students and staff.

A researcher writing with a marker on a clear board.

A National Priority

The National Artificial Intelligence Initiative was established by the National Artificial Intelligence Initiative Act of 2020 on January 1, 2021. The main purposes of the initiative are to ensure continued U.S. leadership in artificial intelligence (AI) research and development lead the world in the development and use of trustworthy AI systems in public and private sectors; prepare the present and future U.S. workforce for the integration of artificial intelligence systems across all sectors of the economy and society; and coordinate ongoing AI activities across all federal agencies, to ensure that each informs the work of the others.

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Tech for Humanity

Tech for Humanity is a university-wide effort that emphasizes the role of ethics, empathy, policy, responsible innovation, equity, human-factor design, human identity, creativity, global collaboration, societal values, inclusion and diversity, sustainability, and attention toward the future of work to ensure a viable outlook for human thriving amidst significant innovations in technology that will shape our world in the decades to come.

AI robot

Novel Artificial Intelligence Framework

Hongliang Xin, an associate professor of chemical engineering in the College of Engineering, and his collaborators have devised a new artificial intelligence framework that can accelerate discovery of materials for important technologies, such as fuel cells and carbon capture devices.

deep learning research at Virginia Tech

Artificial Intelligence Research Areas

  • 56 / 6G / Next G Communications
  • Autonomous Systems
  • Advance Driver Assistance Systems
  • Automated Driving Systems
  • Computer Vision
  • Crowdsourcing
  • Deep Learning
  • Expert Systems
  • Evolutionary Computation
  • Forecasting
  • Future of Work
  • Human Computation
  • Internet of Things
  • Machine Learning
  • Natural Language Processing
  • Neuromorphic Computing
  • Neural Networks
  • Smart Manufacturing
  • Smart Cities
  • Robotics

Artificial Intelligence Research Experts

From robotics to deep learning to computer vision, Virginia Tech researchers are making advances and shaping the future of artifical intelligence.

Luke Achenie portrait.

Luke Achenie

Laura Freeman portrait.

Laura Freeman

Naren Ramakrishnan portrait.

Naren Ramakrishnan

Daphne Yao portrait.

Daphne Yao

Virginia Tech Artificial Intelligence Research Sponsors

Artificial Intelligence Research Teams

Talented faculty and students are developing cutting edge research that is leading to Virginia Tech’s rise as a global destination for artificial intelligence knowledge and discovery. Virginia Tech’s artificial intelligence footprint is growing — first with the Blacksburg campus’ capabilities with emerging Washington D.C. metro area strengths.

Artificial Intelligence News

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