A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...
Edgeble AI enables industrial robots, cameras, and autonomous vehicles to detect accuracy drift and retrain AI models ...
With heatwaves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information 4 to 7 weeks before summer, which ...
MIT’s new AI mapping system lets robots build accurate 3D maps in seconds, improving disaster rescue, VR, and industrial ...
Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Harvard and Northwestern researchers combine AI and physics to design unstable proteins that comprise the dark proteome.
A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...
The imbalance isn’t just technical; it’s moral. When AI models are trained on Europe’s stable skies or Japan’s fine-grained ...
The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...