An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Advanced space travel relies on a fundamental understanding of the restricted three-body problem (RTBP), in which one of the ...

"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Learn how AI is transforming the software development lifecycle and driving innovation. Discover the benefits of integrating ...

A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Starpronto Prosperity Group announced the launch of its next-generation data-driven investment engine, developed to address ...

Scientists update Hamilton’s rule with powerful new math, revealing the many ways altruism and cooperation can thrive in ...

Around the world, financial institutions are turning to artificial intelligence to reimagine how capital markets operate.

This study introduces a reliability assessment methodology for high grade steel large diameter natural gas pipelines, which systematically accounts for the correlations and nonlinear coupling effects ...