Morning Overview on MSN

Ghost lineages: The ancient DNA hiding in our genes today?

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...
IEEE

Research on SNN Learning Algorithms and Networks Based on Biological Plausibility

Abstract: Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim ...
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 ...
IEEE

Application of Evolutionary Algorithms to Enhance the Efficiency of Neural Networks and Machine Learning Algorithms

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...
Nanowerk

New AI sensor 'sniffs' out spectral targets

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
Rochester Institute of Technology

Researchers develop new method for predicting chaos

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...