The rapid adoption of AI is reshaping nearly every industry as it accelerates automation and increases efficiency. 

At the same time, the advent of AI has strained natural resources and revealed the need for a workforce that knows how to harness its capabilities and maintain its infrastructure. 

Maryland Engineering is developing creative, pragmatic solutions to these challenges while equipping professionals with the skills they need to lead in the AI economy.

by Robyn Ross

Using AI to enhance transportation safety

Improving self-driving vehicles via Mario Kart simulations

A UMD team is working to provide regulators with a roadmap to certifying AI technologies in the autonomous fleets that are increasingly popping up in cities across the U.S. and around the world.

AI for Autonomous Vehicles

Revolutionizing data centers to shape a sustainable AI future

Illustration of water being recirculated through pipes

Data centers: Implementing novel ways to reuse cooling water

UMD engineers are improving standards for the water used to cool server racks; in turn, this cleaner water can have a second life by heating greenhouses or other structures.

Reusing Water from Data Centers

Illustration of engineers designing for the environment

Data centers: Metric-based building standards for long-term success

As data centers proliferate, UMD engineers are ensuring these enormous structures are built to last, with fewer environmental impacts.

Environmentally Friendly Data Centers

Illustration of an AI computer chip being cooled

Cooling data centers with better, safer two-phase fluids

UMD engineers usher in AI’s “cool” revolution: innovative technology to reduce the power and water usage of AI data centers.

Energy Efficient Chip Cooling

Illustration of an electric grid with a monitor showing a low load

Reducing server load with efficient tuning of large language models

UMD engineers develop a streamlined method for tuning large language models that cuts energy use and boosts performance.

Tuning LLMs to Reduce Grid Load

Empowering an AI-ready workforce

Professor Jay Lee with a screen reading Industrial AI

Optimizing physical systems with big data

UMD engineers help industry improve safety and maximize output by identifying and collecting useful data that can be analyzed for optimization by AI.

Leveraging Big Data to Improve Safety

A UMD engineering classroom with pairs of students sitting in front of computers

Leading AI education in engineering

Maryland’s new Engineering AI master’s degree for professionals gives graduates an edge in an evolving workplace.

Master’s Program in Engineering AI


Top