A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...
GrayMatters Health (GMH), the pioneers of digital brain-region biomarkers for mental healthcare, today announced the ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...