Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

AI Market Poised to Hit $3.5 Trillion by 2033, Powered by 31.5% Annual Growth - Grand View Research

AI Market Poised to Hit $3.5 Trillion by 2033, Powered by 31.5% Annual Growth - Grand View Research ...
IEEE

A Lightweight and Explainable Hybrid Deep Learning Model for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) is critical for rehabilitation and clinical monitoring, but robust recognition using wearable sensors (e.g., sEMG or IMU) remains challenging due to signal ...
IEEE

Emotion Recognition Using EEG Signals in Human Brain Waves and Deep Learning Approaches

Abstract: Emotion recognition using EEG signals has gained growing attention in recent years due to its promising applications in human-computer interaction, affective computing, and mental health ...