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 ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

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

Overview: AI photo editors leverage machine learning to enhance images, from background removal to style adjustments, automatically.In 2026, these tools combine ...

AI brings innovation and greater accuracy to corporate and investment banking. Artificial intelligence, GenAI, and large ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

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