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Combining the decision power or AI with the ability of the user to guide and control it brings together the strong sides of artificial and human intelligence and could lead to better results. In this talk, I will review the work of our team and the broader research community focused on adding various kinds of user control to adaptive information access systems and discuss lessons learned, prospects, and challenges of this direction of research.

While current research has mostly focused on reducing the energy footprint, in this talk, we will discuss how improving energy efficiency does not translate to the goal of zero emissions. More importantly, carbon efficiency can be optimized independently of energy efficiency. Toward this end, I will present some examples of mitigating emissions and some directions toward designing carbon-efficient infrastructures. 

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.