Led by the Institute of Vertebrate Paleontology and Paleoanthropology (IVPP) of the Chinese Academy of Sciences, the team—which included researchers from China, Australia, Spain, and the United States—conducted multidisciplinary archaeological investigations at the Xigou site in the Danjiangkou Reservoir region of central China. Their work yielded evidence of sophisticated stone tool technologies dating from 160,000 to 72,000 years ago, revealing that hominins in the region were far more innovative and adaptable than previously thought.

A research paper by scientists at Nankai University presents a monolithic synaptic device that replicates and integrates tactile sensing and neuromorphic processing functions for in-sensor computing.

The new research paper, published on Aug. 19, 2025 in the journal Cyborg and Bionic Systems, reported a monolithic pressure-electronic-gated (PEG) neuromorphic device that replicates CT afferents, for low-threshold mechanosensation and neuromorphic information processing in the same device.

A research paper by scientists at University of Sheffield presented a yeast-driven and bioimpedance-sensitive biohybrid soft robots.

The research paper, published on Apr. 25, 2025 in the journal Cyborg and Bionic Systems.

A research paper by scientists at Southern University of Science and Technology presented investigates the feasibility of continuous decoding of hand motion angles in polar coordinates using EEG signals..

The research paper, published on Jan 12, 2026 in the journal Cyborg and Bionic Systems.

A research paper by scientists at Tianjin University presented a novel rolling driving principle (RDP) inspired by the rack-and-pinion mechanism.

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

High-entropy carbide ceramics (HECs) represented by (TiZrHfNbTa)C, as an important component of the new generation of ultra-high-temperature ceramics (UHTCs) system, have shown broad application prospects in extreme service environments such as spacecraft thermal protection systems, thanks to their excellent oxidation resistance and ablation resistance, extremely high melting points, and good hardness and strength matching. However, the inherent brittleness of HECs has become a key factor restricting their further application in ultra-high-temperature structural components. Carbon fibers possess remarkable characteristics such as low density, near-zero thermal expansion coefficient, ultra-high specific strength and specific modulus, and excellent thermal conductivity. The UHTCs-based composites constructed by introducing carbon fibers into the UHTCs matrix not only achieve a significant improvement in fracture toughness that is difficult for single ceramic materials to reach, but also possess comprehensive performance advantages such as low density, high mechanical strength, and excellent thermal shock resistance. However, the full play of the mechanical properties of UHTCs-based composites highly depends on an efficient load transfer mechanism between the fibers and the matrix, and the insufficient interfacial bonding strength has become a key bottleneck restricting their performance improvement.

A pioneering study establishes a standardized CT angiography protocol for systematically mapping the vascular anatomy of the submental island flap, characterizing common anatomical patterns and providing surgeons with a critical preoperative planning tool to enhance the safety and reliability of this reconstructive technique.

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated classification of human stem cell-derived embryo models (blastoids). By leveraging a ResNet-18 architecture and a novel Confidence Rate metric, the model achieves up to 97% accuracy and processes images 1,000 times faster than human experts. This tool facilitates large-scale drug screening and basic research into early human development by providing a standardized, objective evaluation framework.