Researchers at the Max Planck Institute for Intelligent Systems and Carnegie Mellon University have unveiled a breakthrough technology that allows for highly accurate 3D motion capture using only standard video cameras, eliminating the need for expensive, specialized hardware and the iconic skin-tight motion capture suits covered in reflective markers. They named their system MAMMA – Markerless Accurate Multi-person Motion Acquisition. This system is capable of accurately capturing human motion without the need for markers, making it easy and cheap for everyone to create high-end animations and virtual avatars.

The Korea Railroad Research Institute (KRRI) (President: Sagong Myung) conducted a field demonstration on May 13 (Wed.) at a concrete sleeper storage site near Gimyujeong Station in Chuncheon for railway industry officials and other stakeholders, showcasing the “End-of-Life Concrete Sleeper Recycling System,” which crushes, separates, and sorts waste concrete into recyclable materials such as reinforcing steel and aggregates.

SKKU InfoLab develops a 4D fMRI AI model that analyzes brain activity across space and time while providing interpretable information for trustworthy computer-aided diagnosis

The tea industry is an important part of China’s agricultural economy, but the industrial development challenge of “who will grow tea and how to grow it well” has become increasingly prominent. In the face of realities such as accelerating aging of the rural labor force and insufficient resource endowments of smallholder farmers, promoting the implementation and widespread adoption of agricultural socialized services has become a key path to overcoming the development dilemma of the tea industry.

A  study published in Alzheimer’s Research & Therapy detects increased levels of the active form of meprin-β in advanced stages of the disease and of its messenger RNA in intermediate stages.

The researchers also observe increased levels of the protein when human neurons are exposed to beta-amyloid, pointing to a possible relationship between the two processes.