A new artificial intelligence (AI) framework offers a more reliable way to restore partially hidden objects in satellite imagery. 

Nanyang Technological University, Singapore (NTU Singapore) and Japanese technology company Fusic Co., Ltd. are collaborating to explore the development of artificial intelligence-enabled ground systems that could help operators manage increasingly large and complex satellite constellations. The collaboration will study how AI could assist ground-control teams with routine satellite operations, mission scheduling, ground-station allocation and the early detection of technical problems.These proposed systems can also be used to automate routine tasks with human oversight, helping operators respond more quickly and manage larger satellite fleets more efficiently. The partnership aims to bring together NTU's satellite operations expertise with Fusic's capabilities in cloud computing, artificial intelligence and software engineering. The NTU-Fusic Memorandum of Understanding was signed today, 6 July, at SPACETIDE 2026, a major space business conference held in Tokyo, as Singapore and Japan mark 60 years of diplomatic relations.

The new Institute for Applied Health Intelligence at UC San Diego will connect resources across six schools and UC San Diego health to generate next-generation solutions for pressing challenges in medicine.

Autonomous AI robots require enhanced visual intelligence to accurately assess their local environment and identify objects before deciding which action to take and acting on that decision. Recently, a group of researchers outlined the current autonomous robot state of the art from the perspective of 2D and 3D visual intelligence and summarized current obstacles and future directions in the field.

In the advancement of human-machine interaction and intelligent wearable devices, high-performance multifunctional fiber materials are crucial for enabling natural, efficient human-machine interaction and seamless system integration.

Enhancing active-site utilization in carbon-supported single-atom catalysts (SACs) is critical for improving catalytic performance in hydrogenation and related transformations. Wang et al. demonstrate that rational pore-orientation control enhances mass transfer, thereby increasing single-atom site utilization and overall activity; these findings establish pore-orientation engineering as a general strategy for advancing carbon-supported SACs.