To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Concentration polarization of ion-exchange membranes in electrodialysis units limits operational current densities to the underlimiting regime, preventing process intensification by simply increasing ...

Circadian cycling of biological processes is widely conserved across phylogeny. Gerstner and Yin discuss how regulators of circadian rhythms — including clock genes, melatonin and the ...

In intelligent transportation systems, deep learning is a widely adopted technique for traffic data recovery. In city-wide traffic data recovery tasks, traditional centralized deep-learning-model ...

The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student. Traditional ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...

The Economic Graph is a digital representation of the global economy based on over 1.2 billion members; 41,000 skills; 69 million companies; and 140,000 schools. In short: it’s all the data on ...