{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"India Tech Report","title":"Robotic gallbladder surgery, how Quantum ML could boost chip manufacturing, and more","html":"","width":"100%","height":180,"duration":331,"description":"Daily brief on deep tech and climate tech news from India and around the world.\nThe robot used with the Surgical Robot Transformer-Hierarchy to perform gallbladder surgery.\n Image courtesy XinHao Chen/Johns Hopkins University\nRobot performs first realistic gallbladder surgery autonomously\nA Johns Hopkins University team has developed a robot that autonomously completed a complex phase of gallbladder removal with 100 percent accuracy.\nTrained on surgical videos and powered by advanced machine learning, the SRT-H robot adapted in real time to unpredictable scenarios, responded to voice commands, and made surgical decisions like a human trainee.\nThis breakthrough marks a significant step toward clinically viable autonomous surgical systems capable of operating in real-world, variable conditions.\nListen to the podcast\n\nQuantum machine learning enhances semiconductor manufacturing\nAustralian researchers at CSIRO have, for the first time, applied quantum machine learning (QML) to semiconductor fabrication, improving the modeling of Ohmic contact resistance—a critical factor in chip performance.\nTheir Quantum Kernel-Aligned Regressor (QKAR) outperformed classical machine learning on small, complex datasets, suggesting QML could reduce manufacturing costs and improve device quality as quantum technologies mature, potentially revolutionizing the semiconductor industry.\nEU SUPREME consortium to industrialize superconducting quantum chips\nThe EU-backed SUPREME project, coordinated by Finland’s VTT, will industrialize superconducting quantum chip fabrication over six years. Bringing together 23 partners from eight EU countries, the consortium will develop stable, high-yield processes and validate core technologies like Josephson junctions and 3D qubit integration. Pilot lines will launch in 2026, with fabrication processes available to academia and industry by 2027, strengthening Europe’s quantum technology ecosystem.\nTransmutation offers promise, hurdles for nuclear waste...","thumbnail_url":"https://img.transistorcdn.com/klwtZi6_OVxR1RQx-EUqBBLq9JNmkk2p0xt3ov7-eeg/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kYjRi/MTNkNDVhMTVlOThm/MDM4ZmVlYjFmZGNl/OGFiNy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}