PAG | September 2021

NSF AI Institute for Collaborative Assistance

and Responsive Interaction for Networked

Groups (AI-CARING)

Not specific to agriculture, this institute is tasked

with creating a fully developed discipline focused on

personalized, longitudinal collaborative AI systems

that learn individual models of human behavior and

how they change over time, led by Georgia Institute of

Technology.

NSF AI Institute for Advances in

Optimization

This institute is looking to revolutionize large-scale

decision-making by fusing AI and mathematical

optimization into intelligent systems, led by Georgia

Institute of Technology. It will make foundational

advances on use cases in energy, sustainability, supply

chains, and circuit design and control.

NSF AI Institute for Learning-Enabled

Optimization at Scale (TILOS)

This institute aims to “make impossible optimizations

possible” by addressing scale and complexity

challenges. Learning-enabled optimization will

be applied in several technical areas including

semiconductor chip design, robotics, and networks.

This institute is led by the University of California San

Diego in collaboration with five universities across the

United States.

NSF AI Institute for Intelligent

Cyberinfrastructure with Computational

Learning in the Environment (ICICLE)

This institute is tasked with building the next

generation of cyberinfrastructure making it easier

for scientists to use and promote its further

democratization. ICICLE will transform the AI

landscape by creating a robust, trustworthy, and

transparent ‘plug-and-play’ national cyberinfrastructure

to be used in precision agriculture and animal ecology.

This institute is led by Ohio State University.

NSF AI Institute for Future Edge Networks

and Distributed Intelligence (AI-EDGE)

This institute, led by Ohio State University, will leverage

synergies between networking and AI to design

future generations of wireless edge networks that

are highly efficient, reliable, robust, and secure.

NSF AI Institute for Edge Computing

Leveraging Next-generation Networks

(Athena)

While keeping complexity and costs under control,

this institute led by Duke University will develop edge

computing with AI functionality. With collaboration

between leading scientists, statisticians, and engineers,

this institute will transform the design, operation,

and service of future systems from mobile devices to

networks.

NSF AI Institute for Dynamic Systems

This institute will enable innovative research and

education in fundamental AI and machine learning

theory, algorithms, and applications specifically for

real-time learning and control of complex dynamic

systems. This institute is led by the University of

Washington.

NSF AI Institute for Engaged Learning

This institute, which is led by North Carolina State

University, will advance natural language processing,

machine learning, and computer vision to build

narrative-centered learning environments, embodied

conversational agents, and multimodal learning

analytics to yield transformative advances in STEM

teaching and learning.

NSF AI Institute for Adult Learning and

Online Education (ALOE)

This institute will also advance

natural language processing,

machine learning, and

computer vision to engage

learners in AI-driven learning

environments. This institute,

led by North Carolina State

University, will serve as a

hub for STEM education

innovation.