Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Abstract: Classifying asteroid orbits is crucial for understanding solar system dynamics and improving planetary defense mechanisms. Traditional classification methods, which depend on manual ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
Learn With Jay on MSNOpinion
Supervised learning made easy: Real-world example explained
In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
Morning Overview on MSN
Uranus and Neptune might be misclassified and their cores tell the story
For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: The advent of internet causes inventions of social media, in which are applications that relied on user generated contents (UGC). These massive increases in social media users may help ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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