Understanding the Framing Effect in Decision-Making and Investments

Learn how the framing effect influences decision-making in investments, and discover strategies to identify and mitigate its ...
IEEE

Oversampling With GAN via Meta-Learning for Imbalanced Data

Abstract: Utilizing generative adversarial networks (GANs) for oversampling imbalanced data has demonstrated its effectiveness. However, many GAN-based oversampling methods are confronted with a ...
Decrypt

OpenAI Says Benchmark Used to Measure AI Coding Skill Is 'Contaminated'—Here's Why

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Why Your 'Accurate' AI Model Might Still Be Dangerously Wrong: The Hidden Importance Of Model Calibration

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.
The Poynter Institute for Media Studies

In the age of AI and body cameras, no video speaks for itself

Video now drives public accountability and viral outrage alike. But bias, editing, delays and AI mean even powerful evidence needs scrutiny.
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
GitHub

Open Data QnA - Chat with your SQL Database

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data. Ask ...