Research
Parul Gupta, Fairness in AI: Preventing AI Systems from Bias
Join us on Apr. 3 for a virtual presentation held by Parul Gupta, a senior engineer at Meta and CICS alum, as she explores ideas like equity and fairness.
NLP Seminar: Sarah Wiegreffe, Demystifying the Inner Workings of Language Models
Join Sarah Wiegreffe for a NLP Seminar on Wednesday, Feb. 12 at 12:00 p.m. in LGRC A112.
AI x Democracy Symposium
In order to confront the questions surrounding the the use of AI in democratic systems, the RTC invites you to attend the AI x Democracy Symposium on April 23.
Rising Stars in Generative AI
Celebrating the potential of exceptional Generative AI researchers through an intensive research and career workshop.
Undergraduate Research Volunteers Poster Session
Come view posters for the Winter Undergraduate Research Volunteers! Undergraduate mentees and their PhD mentors will be available to discuss their work.
IEEE Communications Society Distinguished Lecture: AI is More Than Machine Learning - Alternative Computational Methods for Future Networks
Dr. Nicola Marchetti is an IEEE Communications Society Distinguished Lecturer who will be delivering the seminar "AI is More Than Machine Learning..."
Seminar: Katie Siek (Indiana University), Amplifying Voices: Inclusively Developing Sociotechnical Health Systems with People
Katie Siek will discuss how we have developed two inclusive methods that empower underserved people to participate in the design process.
NLP Seminar: Akari Asai (University of Washington), Beyond Scaling: Frontiers of Retrieval-Augmented Language Models
In this talk, Asai will urge the necessity of moving beyond the traditional scaling of monolithic LMs and advocate for Augmented LMs.
PhD Thesis Defense: Chenghao Lyu, Intelligent Cost-Performance Optimization for Big Data Analytics
PhD Thesis Defense: Chenghao Lyu, Intelligent Cost-Performance Optimization for Big Data Analytics
NLP Seminar: Wenting Zhao (Cornell University), Reasoning in the Wild
In this talk, Wenting Zhao will discuss how to build natural language processing (NLP) systems that solve real-world problems requiring complex reasoning.
MassAI Industry & Research Panel
Join us for a panel discussion about paths in industry and academia on Nov. 7 from 6:00–8:00 p.m.!
Seminar: Haiying Shen (University of Virginia), Resource Optimization for ML Inference Serving
With the growing popularity of deep learning models, minimizing the monetary costs and maximizing the goodput of inference-serving systems has become critical.