While Artificial Intelligence (AI) technology is evolving rapidly, AI models still struggle with understanding long videos. A research team from The Hong Kong Polytechnic University (PolyU) has developed a novel video-language agent, VideoMind, that enables AI models to perform long video reasoning and question-answering tasks by emulating humans’ way of thinking. The VideoMind framework incorporates an innovative Chain-of-Low-Rank Adaptation (LoRA) strategy to reduce the demand for computational resources and power, advancing the application of generative AI in video analysis. The findings have been submitted to the world-leading AI conferences.

In a study of newborn piglets, infection with influenza A was associated with disruptions in the piglets’ nasal and gut microbiomes and with potentially detrimental changes in gene activity in the hippocampus, a brain structure that plays a central role in learning and memory. Maternal vaccination against the virus during pregnancy appeared to offer some protection from those changes in the piglets.

The Italian Institute of Technology (IIT) has reached a groundbreaking milestone in humanoid robotics by demonstrating the first flight of iRonCub3, the world’s first jet-powered flying humanoid robot specifically designed to operate in real-world environments. The research team studied the complex aerodynamics of the artificial body and developed an advanced control model for systems composed of several interconnected parts. The overall work on iRonCub3, including real flight tests, took about two years. In the latest experiments, the robot was able to lift off the floor by approximately 50 cm while maintaining its stability. The achievement paves the way for a new generation of flying robots capable of operating in complex environments while maintaining a human-like structure. The aerodynamics and control studies have been described in a paper published today in Nature Communications Engineering, an open access journal from the Nature Portfolio.

A research group led by Professor SUZUKI Hiroaki from Faculty of Science and Engineering at Chuo University, graduate students YONEYAMA Ryotaro (at the time), MORIKAWA Naoya, and USHIYAMA Ryota (at the time), Research Fellow TSUGANE Mamiko, Technical Assistant SATO Reiko (at the time), and Special Appointed Assistant Professor MARUYAMA Tomoya from Research Center for Autonomous Systems Materialogy (ASMat), Institute of Integrated Research (IIR), Institute of Science Tokyo, along with Professor TAKINOUE Masahiro from Department of Computer Science, Institute of Science Tokyo, has developed a technology for mass-producing uniform artificial cells (lipid bilayer vesicles) with artificial model nuclei using microfluidic devices with high reproducibility. They also demonstrated that protein synthesis from this model nuclei was possible.

To reduce the vibration of the coaxial helicopter main transmission system considering both level and vertical flight conditions, a vibration evaluation and optimization model was built. A vibration simulation model and a vibration evaluation method was established. A hybrid Gravitational Search Algorithm-Simulated Annealing (GSA-SA) algorithm was combined to balance convergence speed and searching accuracy. The principle test was conducted to prove the accuracy of theoretical method. The optional results show that the vibration of the optimized transmission system decreases significantly, in which the maximum reduction of key vibration indicators reaches more than 20%. The proposed method could be extended to other fields.

Cambridge, MA – June 18, 2025 –Insilico Medicine(“Insilico”), a clinical-stage biotechnology company driven by generative artificial intelligence (AI), today announces that the first patient has been dosed in a global multicenter clinical trial (NCT06414460) to evaluate ISM3412, a potentially best-in-class, AI-empowered MAT2A inhibitor with novel structure, in patients with locally advanced and metastatic solid tumors.