About the SMU AI Lab
The SMU AI Lab leads projects in vision, natural language processing, machine learning, as they apply to numerous domains including health care, education, energy, software engineering, environmental studies, and many others. Over the past several years, SMU has begun to distinguish itself in an area that we refer to as: AI-Enabled Collaborative Design. Modern AI-systems function in an ecosystem of varied third parties and varied interests. Solutions to problems often require teams with disparate backgrounds to collaborate towards a final solution. AI-Enabled Collaborative Design therefore builds upon design theory, human-computer interaction, domain experts, and AI/machine learning engineers to create robust, realistic solutions that use AI in innovative ways. In addition to conducting research that helps to advance the field, we have collaborated with industry and community partners to deploy realistic AI solutions that have lasting impact.
Answering the call: Using artificial intelligence to fight the novel coronavirus
How could artificial intelligence and computer science at SMU join the fight against the novel coronavirus? Fred Chang, Director of the SMU AI Lab, brought together a volunteer team of students and faculty members to join a COVID-19 research challenge posted on the data science site Kaggle.
How SMU Computer Science Professors are Using Their Resources to Help Find a Coronavirus Vaccine
An interdisciplinary team of SMU faculty and students are using text-mining to comb through research and find trends to help doctors.