Insite Center for Business Intelligence and Analytics

10/17/2023

Congratulations to Dr. Sudha Ram!

2023 Women of Impact awardee Dr. Sudha Ram directs the INSITE Center for Business Intelligence and Analytics where she can showcase her expertise in the areas of machine learning, AI interpretability and explainable AI, large scale network science, and data mining to name a few. She is an editor for the Journal of Business Analytics and a senior editor for the Journal of AIS. https://research.arizona.edu/women

07/07/2023

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:

Ethics issues that Large Language Models and Generative AIs create. Recent developments in technology to address these and relevant laws. What to do and track.

06/10/2023

Quantum Computing has attracted a lot of attention. How does it work? What are the current challenges? And could it be used for machine learning? Check out this Quantum Computing spotlight by Nature:

From smartphones to supercomputers, modern computers work by manipulating digital 1s and 0s.

05/21/2023

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!

05/19/2023

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!

05/12/2023

Fabricated facts and explainability concerns of ChatGPT. Check out this interesting read by Forbes:

Wondered how it is that ChatGPT and other generative AI are so good at what they do? AI researchers and AI makers are also unsure and unable to expressively explain the capabilities (mechanistic explanations are feasible though not satisfactory). Here's the inside scoop.

04/02/2023

Check out this recent paper that experiments with different aspects of GPT-4:

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using....

03/18/2023

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). Check out this article from OpenAI to learn about GPT-4:

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various prof...

03/03/2023

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

機械学習に関する教育リソース。

02/22/2023

A good read for a Wednesday night: A recent paper on Nature using a knowledge graph to provide interpretable patent recommendations: https://www.nature.com/articles/s41598-023-28766-y

02/22/2023

A good read for a Wednesday night: A recent paper on Nature using a knowledge graph to provide interpretable patent recommendations:

Patent transfer is a common practice for companies to obtain competitive advantages. However, they encounter the difficulty of selecting suitable patents because the number of patents is increasingly large. Many patent recommendation methods have been proposed to ease the difficulty, but they ignore...

02/06/2023

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? Check out this latest research led by Dr. Srinivasan and Dr. Ram:

A new study suggests that too much – or too little – office noise has a negative effect on employee well-being. The sweet spot? About 50 decibels, comparable to moderate rain or birdsong.