Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...

Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – ...

Today’s machine-learning algorithms simplify labor-intensive tasks like bid management and lead scoring while simultaneously ...

Personalized approaches informed by physiological data could revolutionize areas like workforce training, mental health ...

Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in ...

Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...

Organizations must prioritize foundational cybersecurity skills alongside AI integration to prevent gaps that leave them ...

In this blog, we spoke to Andreia Rogerio, Applied Machine Learning Engineer, about her professional journey and the ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Innovative graphene-based solar absorber design with Al, TiN, and Fe layers shows over 95 % absorbance, enhanced by machine ...