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 ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

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

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

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

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

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

What Are Non-Human Identities and Why Are They Crucial for Enterprise Security? How can organizations safeguard their digital assets? This question underlines the increasing importance of managing Non ...

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

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