Whether artificial hands with an especially gentle touch or an endoscope that crawls through the intestines like a worm, robots made of soft materials could soon carry out tasks that are difficult for metal-based systems. Dr. Philipp Rothemund, assistant professor at the University of Stuttgart, seeks to simplify how soft robots are controlled. The European Research Council (ERC) is funding the project with one of its prestigious Consolidator Grants worth up to €2 million.

Researchers at the University of Washington have developed AI-powered headphones that automatically isolate conversation partners in a noisy soundscape. The system employs AI models that listen for the back-and-forth pattern of conversation and mute voices that aren’t following the established rhythm.

Conventional telescopes are limited in detecting low-surface-brightness (LSB) structures, which are essential for studying galaxy evolution. Now, researchers have developed a new telescope system featuring a confocal off-axis design with three freeform mirrors, optimized for deep LSB imaging. This system enables astronomers to observe faint galactic features more clearly, revealing how galaxies evolve over time.

 

University of Utah research engineers finetune robotic prosthetic hand to improve its manual dexterity through an artificial intelligence-powered neural interface.

As financial technology matures and cryptocurrencies become increasingly popular, the security of blockchains used to process these transactions has emerged as a significant concern. Prof. Allen Men Ho AU, Associate Head (Research and Development) and Professor of the Department of Computing at The Hong Kong Polytechnic University, has introduced the Regulatable Privacy-Preserving Smart Contracts (RPSC), a smart contract system that effectively balances privacy with public transparency. RPSC’s compatibility has been demonstrated on Ethereum smart contract. As financial technology matures and cryptocurrencies become increasingly popular, the security of blockchains used to process these transactions has emerged as a significant concern. Prof. Allen Men Ho AU, Associate Head (Research and Development) and Professor of the Department of Computing at The Hong Kong Polytechnic University, has introduced the Regulatable Privacy-Preserving Smart Contracts (RPSC), a smart contract system that effectively balances privacy with public transparency. RPSC’s compatibility has been demonstrated on Ethereum smart contract. 

Autonomous driving systems increasingly rely on data-driven approaches, yet many still struggle with reasoning, handling rare scenarios, and transparently explaining their actions. A new study introduces DriveMLM, a multi-modal large language model framework that aligns language-based reasoning with structured behavioral planning states, enabling full closed-loop driving in realistic simulators. By integrating multi-view images, LiDAR inputs, traffic rules, and natural-language instructions, DriveMLM generates both driving decisions and human-readable explanations that map directly to vehicle control. The system significantly improves safety, adaptability, and interpretability, demonstrating how large language models (LLMs) can advance the next generation of autonomous driving technology.