This study presents an AI method that compensates for image distortion in microscopy, enhancing clarity in thick biological ...

Stanford researchers developed an AI algorithm that identifies Type 2 diabetes subtypes using continuous glucose monitor data ...

Introducing a bioresorbable acoustic microrobot that navigates complex biofluids, ensuring targeted therapy with real-time ...

Robotics in EV battery assembly is enhancing precision, efficiency, and safety while driving innovation in sustainable ...

The integration of AI in wireless chip design leads to unique circuitry patterns, significantly cutting down development time ...

Research highlights the intention economy, where LLMs manipulate user intent, posing ethical challenges in data collection ...

Investigating AI's impact on pandemic response, this study highlights its applications in epidemiological modeling, vaccine ...

G technology boosts the capabilities of robotics, facilitating seamless communication and real-time control, crucial for ...

Robots use cameras to investigate foreign terrain, buildings, and danger zones. In the 3D-InAus project, researchers from the Fraunhofer Institute for Communication, Information Processing, and ...

AI-based tools demonstrate superior performance in ovarian cancer detection, offering potential to optimize healthcare ...

The Robot Operating System (ROS) facilitates robotic software development, offering a flexible framework and extensive ...