If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

Abstract: With the transformation of China’s energy structure, the control requirements for the power generation process are becoming increasingly precise and intelligent. Applying machine learning ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...