Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference ...

Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...

During the chip shortage, Tesla thrived while Ford waited. The difference? Semantic intelligence that transformed data into ...

On January 25th, the finals of the 3rd China's Innovation Challenge on Artificial Intelligence Application Scene (CICAS) ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Speaking on the prospect of artificial general intelligence, LeCun suggested it’s a misnomer, because human intelligence, in his view, is not general. He prefers the term “human-level intelligence,” ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm of algorithms. Alongside his demanding role steering Gauge AI, he is the ...

Emotions are a fundamental part of human psychology-a complex process that has long distinguished us from machines. Even advanced artificial intelligence (AI) lacks the capacity to feel. However, ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

Eightfold AI, which many companies use as they screen job candidates, is being accused of gathering information about ...

A strategic layer defines business outcomes, prioritizes automation opportunities, establishes value metrics, and aligns initiatives with regulatory and ethical expectations. A governance layer ...