A research paper by scientists at Tianjin University introduces background electroencephalogram (EEG) mixing (BGMix), a novel data augmentation technique grounded in neural principles that enhances training samples by replacing background noise between different classes.

The new research paper, published on Oct. 07, 2025 in the journal Cyborg and Bionic Systems, introduced a novel EEG augmentation method and a new approach to designing deep learning models informed by the neural processes of EEG.

A research paper by scientists at the Beijing Institute of Technology proposed a SnS₂-based in-sensor reservoir that offers an effective solution for detecting a variety of motion types at sensory terminals. By leveraging in-sensor reservoir computing, the device excels at classifying different motions across a wide velocity spectrum, providing a novel and promising method for motion recognition.

The new research paper, published on Sep. 30 in the journal Cyborg and Bionic Systems, presented an optoelectronic in-sensor RC device based on monolayer SnS₂ synthesized via the chemical vapor deposition (CVD) technique. This device demonstrates a notable correlation between its optic response and the duration of illumination, exhibiting excellent optical detection performance under short light illumination. Under long illumination, the sustained optic response can be used to simulate synaptic plasticity.

Strontium titanate’s impressive performance at extremely low temperatures positions it as a key material for advanced cryogenic devices in quantum computing and space exploration.

With the help of a five-year, nearly $1.98 million Maximizing Investigators’ Research Award (MIRA) (R35) from the National Institute of General Medical Sciences of the National Institutes of Health, researchers at Wayne State University aim to make strides in understanding how proteins move and interact in living cells through the development of next-generation computational modeling tools.

You won't find quantum computers in your local electronics store, but in the future, these superfast computers will probably become more common. Researchers from the Norwegian University of Science and Technology are bringing this future a small step closer.

From decoding genomes to predicting protein structures, artificial intelligence is rapidly becoming a cornerstone of biology. To help harness its potential for discovery through data analysis, the Stowers Institute for Medical Research has appointed Sumner Magruder, Ph.D., as its first AI Fellow. The new role within the Stowers Fellows Program is designed to accelerate the integration of advanced computational methods into biological research.