Sarah Brown receives URI 2025 Graduate Mentoring Excellence Award

Assistant Professor Sarah Brown has been selected as the recipient of the 2025 Graduate Mentoring Excellence Award presented to a faculty member in the College of Arts and Sciences! Each year, graduate students are invited to nominate members of the graduate faculty who are outstanding mentors and major professors. Students are asked to consider those […]

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Women in AI Workshop

When: Wednesday, April 16, 4:30-6:00 pm Where: Ballentine 115 Our Computer Science IGT Scholars are presenting a Women in AI Workshop that is open to all who are interested. The workshop will include a panel of women who have worked in the field of Artificial Intelligence in a variety of capacities: Panel: Dawn Fitzgerald – […]

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Stephen Bach, Rigorously Benchmarking LLMs for Translating Text to Structured Planning Languages

When: Friday, 4/18/25 11:00 am; Where: Bliss 260 Abstract: Can large language models (LLMs) help with planning? And how should we even measure that ability? In this talk, I will present our work on Planetarium, a benchmark that evaluates LLMs’ ability to generate PDDL (Planning Domain Definition Language) code from natural language descriptions of planning […]

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Hang Hua, Advancing Generative AI for Multimodal Intelligence

When: Friday, 3/7 11 am – 12 pm; Where: Tyler Hall 055. Abstract: Generative AI is transforming how machines interact with and augment human capabilities. However, achieving artificial general intelligence (AGI) requires addressing significant challenges in retrained language models (PLM) and multimodal large language models (MLLMs), including the brittleness of language model fine-tuning, imbalanced vision-language […]

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Khaled Saifuddin, Hypergraph Learning: From Algorithms to Applications

When: Thursday, 3/6 11 am – 12 pm; Where: Tyler Hall 055 Abstract: This talk explores the advancement of Hypergraph Neural Networks (HyperGNNs) as a powerful extension of Graph Neural Networks (GNNs) to model higher-order relationships in complex systems, particularly in biomedical applications. While traditional GNNs struggle to capture higher-order intricate dependencies, HyperGNNs leverage hypergraphs […]

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Alina Barnett, Inherently Interpretable Neural Networks for Scientific Discovery and High-Stakes Decision Support

When: Tuesday, 3/4 11 am – 12 pm. Where: Tyler Hall 055. Abstract Artificial intelligence is increasingly performing high-stakes tasks traditionally reserved for skilled professionals, with AI systems often surpassing human expert performance on specific tasks. Despite these advances, the “black box” (i.e., uninterpretable) nature of many machine learning algorithms poses significant challenges. These opaque […]

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Mahmoud Nazzal, Secure, Robust, and Interpretable AI Integrating Graph and Language Models

When: Thursday, 2/27 11:00 am Where: Tyler Hall 055 Abstract: Artificial intelligence (AI) has achieved remarkable performance across various domains. In most real-world applications, data often takes relational forms, such as graphs and networks, or sequential forms, such as text and time series. As AI evolves, specialized models have emerged to handle these structures—Graph Neural […]

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Two Computer Science students honored at URI Black Scholar awards

Computer science students Amoy Scott and Warith Balogun were honored Monday at the URI Black Scholar awards. Scott received the Sojourner Truth Award for Scholarly Persistence and Dedication, presented to a senior in recognition of success despite dire financial, physical and/or personal problems that would ordinarily impede progress, and Balogun received the Earl N. Smith, […]

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Marco Alvarez, Transforming Research and Higher Education with Generative AI and Foundation Models

When: Friday April 5. – noon-1 p.m. Where: Bliss 190 This talk delves into the transformative potential of generative AI and foundation models in both scientific research and higher education. Foundation models represent a seismic shift in AI capabilities, empowering researchers to analyze data, generate hypotheses, and uncover knowledge with unprecedented efficiency. Trained on vast […]

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