Curious how AI powers 6G’s terahertz tech? A new Engineering study breaks down how deep learning, CSI foundation models and LLMs solve terahertz UM-MIMO’s biggest hurdles—computational complexity, modeling and measurement issues. It maps three actionable AI roadmaps, with real-world use cases, and spotlights future research for next-gen wireless.

A research paper by scientists at Beijing Institute of Technology introduces a strategy that employs low-energy acoustic excitation of rising microbubbles to achieve scalable and efficient mass transfer across macroscale and microscale domains.

The research paper, published on Mar 9, 2026 in the journal Cyborg and Bionic Systems.

A research paper by scientists at Sun Yat-Sen University presented a magnetic tensegrity-enabled robotic gripper (MTRG) with an adaptive energy barrier by leveraging nonlinear interaction forces between magnets..

The research paper, published on Mar 9, 2026 in the journal Cyborg and Bionic Systems.

A review finds that antibiotic resistance genes—capable of undermining modern medicine—can travel through the air across both cities and farmland, and argues that airborne spread represents an overlooked public health risk.

A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube infrastructures to enhance large-scale Earth Observation data analytics. By introducing a model warehouse, intelligent model selection, and parallel inference pipelines on the Open Geospatial Engine platform, the approach significantly improves analytical capability and reduces inference time by over 80%. The framework advances the transition from traditional data cube processing toward AI-ready spatial data infrastructures.