Sign in Subscribe

Topic

AI

Latest AI news

AI Era United: The 2025 World Artificial Intelligence Conference Kicks Off on July 26}

The 2025 World AI Conference, focusing on global collaboration and China's AI development, will be held from July 26-28, featuring top experts, innovations, and international cooperation.

}

ICML 2025 Outstanding Papers Announced: 8 Winners Including Researchers from Nanjing University}

ICML 2025 awarded 8 top papers, including 6 best paper awards and 2 outstanding position papers, with notable participation from Nanjing University researchers, highlighting cutting-edge AI research.

Can Agents Score Without Doing Anything? Major Issues in AI Benchmarking}

Current AI benchmarks are flawed, allowing agents to score high without genuine effort, highlighting the need for more rigorous and reliable evaluation standards.

Review of Embodied Intelligence in Robotics Driven by Physical Simulators and World Models, Including 38 Pages and Over 400 References}

This comprehensive review covers 8 institutions, 38 pages, and 400+ references on embodied intelligence, focusing on physical simulators and world models for robotics development.

Precise Capture of Cellular Dynamics in Disease Progression: UNAGI Generative Platform Accurately Simulates Drug Perturbations}

UNAGI, a deep generative model, accurately simulates cellular dynamics and drug effects in disease progression, advancing personalized medicine and virtual drug screening.

Meta Science Can Improve Science — But It Must Be Useful to Society}

The emerging field of meta-science aims to improve scientific research itself, emphasizing societal usefulness amid rapid scientific and AI-driven transformations and challenges.

Shanghai Jiao Tong University / Shanghai AI Lab Guangtao Zhai: When Evaluation Becomes Obsolete, AGI Is Achieved}

Zhai Guangtao from Shanghai Jiao Tong University argues that a perfect AI evaluation system is equivalent to AGI, suggesting that once evaluation is unnecessary, true AGI is realized.

Internal Leak: Alexandr Wang's First Move as Meta's New Head, Shutting Down Open-Source Large Models}

Meta, once hailed as the beacon of open-source AI, is reportedly shifting towards closed-source models under new leadership, signaling a major strategic change.

}