Based on available evidence, AI and social media use with children and teens should be minimized until we develop a better understanding of their impact on the developing brain.
Algorithms can’t read your inner signals. Trusting your gut means knowing when your feelings are the crucial missing data ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
Improving Unimodal sEMG-Based Pattern Recognition Through Multimodal Generative Adversarial Learning
Abstract: Surface electromyography (sEMG)-based pattern recognition system is a kind of instrumentation and measurement system that captures, processes, and recognizes bioelectrical signals, like ...
Google’s Quantum Echoes now closes the loop: verification has become a measurable force, a resonance between consciousness and method. The many worlds seem to be bleeding together. Each observation is ...
Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...
Abstract: Three-dimensional ionospheric tomography is an essential method for understanding spatial variations in electron density and for providing physical interpretations of anomaly evolution.
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