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We are a Research Center for Business Intelligence and Big Data Analytics at the Eller College of Management, University of Arizona

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AI continues to expand its influence in people's lives. Most recently, ChatGPT has triggered heated discussions on AI ethics. Check out this nice article by Forbes with examples of AI ethics issues and potential countermeasures: #AI #ChatGPT #AIethics https://t.co/FJSz4Z4gBK

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#QuantumComputing has attracted a lot of attention. How does it work? What are the current challenges? And could it be used for #MachineLearning ? Check out this Quantum Computing spotlight by Nature: https://t.co/ffhMkEF10p

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Congratulations to Dr. Yuanxia Li! Yuanxia successfully defended her dissertation titled: Coupling Data Science and Design Science to Solve Real-World Business and Healthcare Challenges. Best wishes for a fantastic academic career at Kennesaw State University!

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Congratulations to Dr. Buomsoo Kim! Buomsoo successfully defended his dissertation titled: Computational Design Science Research to Solve Real-World Problems with High Impact. Best wishes for a fantastic academic career at Iowa State University!

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Fabricated facts and explainability concerns of ChatGPT. Check out this interesting read by Forbes #ChatGPT #XAI: https://t.co/FX3a6dXq5r

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Check out this recent paper that experiments with different aspects of GPT-4 #GPT4 #LLM #ML #AI #AGI https://t.co/iSRbwNlfua

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After ChatGPT, OpenAI brought everyone's attention to another large language model: GPT-4. It now takes visual inputs and performs very well in many standardized tests (e.g., Bar Exam, GRE). #GPT4 #AI #ChatGPT Read this article from OpenAI about GPT-4: https://t.co/F5aZlqwc08

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Google's machine learning education website. A good resource for teaching and learning beginner machine learning concepts! Simply explained and comprehensive. #machinelearning #ai #ml

https://t.co/9hhdB2ArCu

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A good read for a Wednesday night: A recent paper on Nature used a knowledge graph to provide interpretable patent recommendations: https://t.co/xRzOkhuWgL

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We know that too much noise in the offices is bad for employee well-being. How about too little? What is the sweet spot for noise levels in office spaces? #healthcare Check out this latest research led by @KarAnalytics and @sudharam: https://t.co/0VdUg97te2

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ChatGPT has attracted a lot of attention recently in various fields. #Education is no exception. Read this article from Wired to find out more opinions on #ChatGPT in the classroom: https://t.co/YmZTqRH9ss

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Happy 2023 everyone! Looking back at 2022, there has been a lot of exciting advancement in NLP. #ML #NLP #AI Check out this list of top 2022 NLP papers: https://t.co/uvL1r49QS2

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The new very powerful chatbot that has attracted a lot of attention and debates - ChatGPT! #ChatGPT #NLP #AI #MachineLearning Check out how it works and try interacting with it following this link: https://t.co/kktBLfxBS6

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How do you know if your machine learning model is doing well? Check out this post that explains precision, recall, F1-score, and the two commonly used ways to average F1-scores in multi-class classification. #Classification #MachineLearning

https://t.co/yCuLNW3sqp

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Check out this research highlight for ML and NLP in 2021: https://t.co/nnfXjqS0PN

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Outside the often discussed classification and regression, machine learning can also learn to rank. How's the ranking problem different from classification and regression? Check out this short summary on "Learning to Rank" #ML #AI
https://t.co/xZNGBZ62CX

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Graphs may help diagnose Alzheimer's disease before symptoms appear, but how? Check out this quick summary from Science, original paper is cited at the end.
https://t.co/FGFpFhY9z9

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Deep learning has its application in so many different fields. What are some important themes to explore? #MachineLearning #DeepLearning #AI Check out what Google says: https://t.co/NQzcKqhqyR

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Concise but informative, despite the age of this article, it is still a very nice summary of Recurrent Neural Networks (RNNs) and good for anyone who would like to learn the basics. #MachineLearning #DeepLearning #AI
https://t.co/KvCUzcJePY

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Pytorch vs Tensorflow - what are some pros and cons for each of them as of 2022? #MachineLearning #AI #DeepLearning #PyTorch #TensorFlow #Python
https://t.co/vmkrlBmoAN