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This talk will introduce a probabilistic model representing commonsense knowledge using a learned latent space of geometric embeddings -- probabilistic box embeddings. Using box embeddings makes it possible to handle commonsense queries with intersections, unions, and negations in a way similar to Venn diagram reasoning. Meanwhile, existing evaluations do not reflect the probabilistic nature of commonsense knowledge. To fill in the gap, I will discuss a method of retrieving commonsense related question answer distributions from human annotators and a novel method of generative evaluation. 

The juxtaposition of pattern representations is reconfigured at each layer of a multi-layered perceptron. As the activity propagates through the network, the representations are transformed through a systematic progression such that the representation at the penultimate layer is computable at the final stage (e.g., linearly separability for a classification task). 

As an instructor of introductory programming courses (007,401 445, 449) at Pitt and similar courses other universities Prof. Hoffman has consistently encountered math hesitancy to the presentation of complexity analysis. In this talk, he will convey an anecdote - a fascinating story in computer science surrounding the binary search algorithm. 

Ms. Victoria Chuah graduated with a BS+MS degree in Computer Science in May 2022 and was crowned Miss Virginia in June 2022. Read the interview to find out about her experience at Pitt and her plans for the future.

On September 9th, we are hosting a joint Computer Science Colloquium / Research, Ethics and Society Initiative Seminar, entitled Thoughts of a Reformed Computer Scientist: On the Nature of Real and Artificial Intelligence, given by Dr. James Morris, MBA, PhD (Emeritus Professor of Computer Science, Carnegie Mellon University).

Department of Computer Science assisstant professor Dr. Xiaowei Jia received one of four best dissertaion awards from his alma mater, The University of Minnesota. 

Pranut Jain received an honorable mention award at Designing Interactive Systems (DIS) 2022 for his paper Laila is in a Meeting: Design and Evaluation of a Contextual Auto-Response Messaging Agent.