Discover Kimi K2, the open-source AI model with one trillion parameters, redefining innovation and accessibility in ...

To address this issue, this article proposes a few-shot data-driven modeling method for multioperation impedance identification of unified grid-tied VSCs based on physics-informed neural network (PINN ...

The generation of synthetic tabular data plays a critical role in applications such as data enhancement, privacy preservation, and model validation. However, the heterogeneity of tabular ...

Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.

Several groups hope to develop artificial-intelligence models that can predict how cells behave.

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts for therapeutic applications.

Commentary: How to show up for nonprofit grantees in 2025 Funders are doing a lot of new and extra listening, grantmaking, funding cycles albeit more quietly than during COVID, but certainly more can ...

Google’s Carolina Parada says Gemini has enabled huge robotics breakthroughs, like the new on-device AI.

Yip agreed that although parts of the Sanming model would be hard to implement nationwide, she said parts could still be applied in more densely populated areas. Nevertheless, she told The Lancet that ...