Opinion

When Algorithms Meet Empathy: How HR Should Approach AI

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.
IEEE

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market

Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...

AMI 1.0 First, Algorithms Next: How AI Keeps Distribution Affordable—Now

As distribution companies absorb electric vehicle (EV) load growth, aging assets, extreme weather and a decarbonizing grid, ...

New AI model for drug design brings more physics to bear in predictions

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
IEEE

Improving Motor Imagery-Based Brain-Computer Interfaces with Simple EEG Data Augmentation Algorithms: A Comparative Analysis

Abstract: One of the primary challenges in motor imagery (MI) based brain-computer interfaces (BCIs) is the extensive calibration time required for individual users. This paper systematically reviews ...

Researchers find adding this one simple sentence to prompts makes AI models way more creative

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...