AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
KRDO

Rebuilding faces and identifying tattoos, AI joins the search for the missing in Mexico

The Mexico City Prosecutor’s Office has used the “inpainting” technique, which uses artificial intelligence to fill in, ...

For CNN, a Change in Ownership Means a Suddenly Uncertain Future

Paramount’s apparent victory over Netflix in securing Warner Bros. Discovery has led to concerns within the CNN newsroom ...
IEEE

Determining the Colliding Vehicle in Traffic Accidents Using Hybrid Machine Learning Algorithm

Abstract: In a world rife with vehicular accidents and traffic incidents, it is known that drivers are more likely than not to shift the blame in an accident rather than admit it. Other than that, ...

Nuggets' Nikola Jokic Cannot Be Quantified

Denver Nuggets superstar Nikola Jokic has defied reality. In 1950, mathematician, computer scientist, and cybernetics pioneer Norbert Wiener published The Human ...
IEEE

Machine-Learning Algorithm Applied to Magnetic Localization

Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
CNBC

Gold and silver price swings are powering algo traders and machine-learning funds

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...