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.
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
Laura Freeman
Naren Ramakrishnan
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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Hang Yu chosen for DARPA Young Faculty Award , articleYu's project will focus on autonomous manufacture and repair for austere environments like space.
Date: Nov 16, 2022 -
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Virginia Tech researchers use artificial intelligence to combat soybean nematodes , articleResearchers at the Tidewater Agricultural Research and Extension Center are studying how to use artificial intelligence to identify the presence of plant-parasitic soybean nematodes that cause upward of $1 billion worth of soybean loss each year in the United States.
Date: Oct 26, 2022 -
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A path to human-like machine intelligence , articleJoAnn Paul, associate professor in the Bradley Department of Electrical and Computer Engineering, received a National Science Foundation grant to investigate methods to design a computer architecture that emulates the way the human brain operates.
Date: Oct 21, 2022 -
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New AI fairness technique has significant lifesaving implications , articleComputer science professor Danfeng “Daphne” Yao is leading a research team to present a new artificial intelligence fairness technique to correct prediction errors; thereby reducing bias and potentially life-threatening prediction mistakes for minority populations.
Date: Oct 20, 2022
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