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

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...