We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...
Cellular, animal and computational models of the disease are providing fresh insights into biology and treatment.
New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...
Women farmers face deeper losses from crop failure, driven by unequal access to land, credit, data and decision-making.
The Intelligence We Forgot: Why indigenous and ancestral knowledge is Africa’s missing AI superpower
The global AI ecosystem has been built upon an epistemic void, a missing centre, an unacknowledged blind spot that has ...
Imagine the global launch of an electric vehicle as an epic journey where innovation meets real-world grit. Behind the scenes ...
This article covers some of the leading asset management strategies that help drive efficiencies across plant operations and ...
Last year’s chemistry Nobel prize was awarded to researchers using AI to study proteins in entirely new ways, and in 2025 ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback