The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...

Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...