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At the 11th Innovation Annual Meeting of the 2025 Yabuli China Entrepreneurs Forum, Peng Lei, founder and chairman of Neuracle Technologies, deeply discussed the future development of brain-computer interface (BCI) technology and proposed five major new trends in this field over the next five years. These trends are expected to completely change people's lifestyles and the technological landscape. 1. Integration of Brain-Computer Interface and Spinal Cord: A Hope for Paralyzed Patients. Peng Lei pointed out that the integration of brain-computer interfaces with the spinal cord will be a major trend in the future. Since the brain and spinal cord are closely connected, spinal cord injuries in patients with high-level paralysis hinder the conduction of nerve signals. In the future,

In the wave of digital transformation, Nangang Group has partnered with Huawei to launch the "YuanYe - Steel Big Model." This revolutionary model is based on Huawei's PanGu Big Model platform, aiming to connect four business interfaces throughout the steel production process, creating 20 artificial intelligence application scenarios, and comprehensively enhancing data flow and intelligence levels. To promote this transformation, Nangang Group has established a digital operation management system called "One Brain Three Centers," combined with a cloud-edge-end big data platform and an enterprise-level data hub. These measures have not only improved R&D...

Mianbi Intelligence announced the completion of a new round of tens of millions yuan financing, which was jointly invested by Hongtai Fund, Guozhong Capital, Qingchuan Golden信 and Maotai Fund. The completion of this round of financing will lay a solid foundation for Mianbi Intelligence in areas such as efficient large model technologies, product barriers, industry empowerment, and ecological expansion, promoting the scaling application of the "edge-side brain" in thousands of industries.

Hubei province in China has released the nation's first price list for brain-computer interface medical services, starting from 6552 yuan.

Researchers in China have unveiled the world's first three-dimensional atlas of a brain-computer interface at the micrometer scale. This groundbreaking achievement significantly improves the safety and precision of brain surgery involving BCIs.

Microsoft, the US tech giant, and Inait, a Lausanne-based startup, announced a strategic partnership on Tuesday to co-develop an innovative AI model inspired by the mammalian brain. According to a joint announcement, Microsoft plans to leverage Inait's unique technology to further expand its AI product portfolio for enterprise clients. Inait's technology is the culmination of 20 years of brain research. CEO Richard Frey highlighted the core principle: the only proven form of intelligence exists.

Yale University researchers have developed MindLLM, an AI model capable of translating fMRI brain signals directly into text. This groundbreaking technology bridges the gap between brain activity and human language, opening new possibilities for communication and understanding the human brain.

Analyzing medical image data has always been a complex and laborious process. Recently, researchers at Weill Cornell Medicine developed a novel artificial intelligence system called LILAC (Learning-based Inference of Longitudinal Image Changes) that can efficiently and accurately analyze and detect changes in medical images over time. This research, published on February 20th in the Proceedings of the National Academy of Sciences, showcases LILAC's broad application potential in various medical scenarios. Traditional medical image analysis methods often require extensive customization and pre-processing.

Social media giant Meta recently announced that they have developed a new device capable of reading brain neural signals to enable text input. This research achievement is detailed by Meta's scientists in two studies, utilizing advanced brain imaging technology and deep learning AI models to successfully decode the brain signals of individuals while they type, even reconstructing complete sentences. Specifically, this technology relies on a scanning device known as magnetoencephalography (MEG), which can capture the faint magnetic signals emitted by the brain.