Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized benchmark for accurate influential-node detection in epidemic control, power-grid resilience, and social media analysis.

A new open-source modular mobile manipulator platform streamlines embodied AI research with unified simulation-to-reality APIs, plug-and-play modules, and a turnkey PyBullet framework to accelerate service robot deployment in healthcare, manufacturing, logistics, and home assistance.

Renmin University researchers present a comprehensive survey of sampling- and sketch-based algorithms for distinct value estimation in big data, offering insights to accelerate database queries, enhance network security anomaly detection, and reduce cloud analytics costs.

Researchers unveil a new Python-based assertion verification framework for agile hardware design, enabling real-time error detection with minimal area and performance overhead to streamline prototyping and boost reliability.

In a recent study published in Life Metabolism, researchers at Fudan University report that even after stopping the anti-obesity drug tirzepatide, Chinese obese individuals can maintain significant weight loss. Briefly, 152 Chinese adults who completed the full 52-week tirzepatide regimen (10 mg or 15 mg doses) were followed for an additional 26 weeks without any anti-obesity drugs or bariatric surgery.

Peking University, July 16, 2025: A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first sort-in-memory hardware system tailored for complex, nonlinear sorting tasks. Published in Nature Electronics, the study titled “A fast and reconfigurable sort-in-memory system based on memristors” proposes a comparator-free architecture, overcoming one of the toughest challenges in the field of processing-in-memory (PIM) technology.