Finally, the organizations that implement quantum-inspired techniques will have a headstart on quantum computing as the ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

Abstract: This electronic Digital information, computer systems, networks, and data are highly in need of protection from damage, unauthorized access, and internal and external threats. Cyber security ...

Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...