MIT Technology Review

How AI helps scientists design the next generation of medicines

As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are ...

Uncovering multidimensional effects of generative AI on learning

A research team consisting of researcher Somi Joo, Professor Changjun Lee and Professor Daeho Lee from the Sungkyunkwan ...
Microsoft

Accelerating protein engineering with fitness landscape modeling and reinforcement learning

Protein engineering holds significant promise for designing proteins with customized functions, yet the vast landscape of potential mutations versus limited lab capacity constrains the discovery of ...
Quinnipiac University

BS in Mechanical Engineering Experiential Learning

At Quinnipiac, we provide the knowledge and resources you need to make a tangible impact on your chosen field. Through a combination of classroom theory and practical experience designed for you to ...
IEEE

Challenge-Based Learning for Competency Development in Engineering Education, a Prisma-Based Systematic Literature Review

Abstract: The teaching-learning process in engineering aims to meet current societal demands and address real challenges faced by businesses and the job market. Challenge-based learning (CBL) has ...
IEEE

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

Abstract: Entity resolution (ER) is an important data integration task with a wide spectrum of applications. The state-of-the-art solutions on ER rely on pre-trained language models (PLMs), which ...