馃敩 Research Summary by Rishab Jain, a neuroscience & AI researcher at Massachusetts General Hospital and a student at Harvard College. [Original paper by Rishab Jain and Aditya Jain] Overview: The … [Read more...] about Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work
Emerging Technology
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
馃敩 Research Summary by Zhaobo Zheng, a scientist at Honda Research Institute USA, Inc. [Original paper by Minxue Niu, Zhaobo Zheng, Kumar Akash, and Teruhisa Misu] Overview: The trust in autonomous driving is … [Read more...] about Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
A collection of principles for guiding and evaluating large language models
馃敩 Research Summary by Matthias Samwald, an associate professor at the Medical University of Vienna and works on making powerful AI systems driving biomedical progress more trustworthy. [Original paper by … [Read more...] about A collection of principles for guiding and evaluating large language models
The Two Faces of AI in Green Mobile Computing: A Literature Review
馃敩 Research Summary by Wander Siemers, MSc student at Delft University of Technology with an interest in mobile technology and sustainability. [Original paper by Wander Siemers, June Sallou, and Lu铆s … [Read more...] about The Two Faces of AI in Green Mobile Computing: A Literature Review
Bias Amplification Enhances Minority Group Performance
馃敩 Research Summary by Gaotang Li and Jiarui Liu. Gaotang Li is a senior undergraduate student studying Computer Science and Mathematics at the University of Michigan. Jiarui Liu is a first-year Master's … [Read more...] about Bias Amplification Enhances Minority Group Performance