A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in implementing the world's first two-terminal-based artificial intelligence (AI) ...

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

This collection supports and amplifies research related to SDG 4: Quality Education. Generative AI is transforming the conventional dyadic teacher-student dynamic into a triadic framework centered ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When systems move, they can spiral out of control unless designed with ...

As artificial intelligence moves rapidly from experimentation to enterprise adoption, it is reshaping not only how work gets done but also what leadership looks like across industries. According to ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

University students engage in fierce intellectual combat, not with each other but with their laptops, crafting the perfect prompt to make AI write their essays. "Got it! It gave me a full analysis ...