Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
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 ...
Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Tech Xplore on MSN
'Self-driving' lab learns to grow materials on its own
When scientists make the thin metal films used in electronics, optics, and quantum technologies, they usually spend months ...
IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback