China

Researchers at Beihang University and Tsinghua University in Beijing built a multimodal contrastive learning framework that pairs EEG with synchronized video and motion data to detect cybersickness in virtual reality, representing the EEG as a connectivity graph and using an attention-based encoder to map the video and motion streams onto the same structure. Fusing all three signals separated cybersick from non-cybersick states more cleanly than any single modality or pair, and the model automatically pruned prefrontal connections unrelated to cybersickness. The setup used mBrainTrain's Smarting PRO 32-channel wireless EEG system and a Pico 4 Ultra headset, with 29 healthy adults navigating a VR scene under their own control.

NeuroXess said two people with high-level paralysis played chess against each other across about 800 kilometers, between Shanghai and Nanchang in eastern China, using its "Triple-Full" (三全) brain-computer interface: one selected and placed pieces on a virtual board by thought, with the commands relayed in real time to a robot stand-in that moved the pieces at the other end, where the second participant gripped physical pieces through a brain-controlled exoskeleton glove. The company said the first participant was implanted at Huashan Hospital, Fudan University, in October 2025, moved a cursor by thought on the fifth day after surgery and reached 5.2 bits per second after 17 days of training, while the second was implanted at the First Affiliated Hospital of Nanchang University in December 2025 and was eating, drinking and writing with a brain-controlled exoskeleton one month after surgery. The outcomes come from the vendor's own account and have not been validated in peer-reviewed publication.