WIMI
WiMi Hologram Cloud Inc. Class B
stock NASDAQ

It is reported that Meta (META) Quest 3 has obtained native 3D camera support through immerGallery, and the immerGallery 1.3.5 update brings native 3D camera function.
What is native 3D camera function?
A native 3D camera function refers to the ability of a camera system, either hardware or software, to capture images or videos in three dimensions (3D) without requiring external tools or software to simulate the 3D effect. These functions are typically found in devices such as smartphones, digital cameras, or VR/AR systems that come with built-in 3D capabilities.
Here’s a breakdown of what a native 3D camera function involves:
1. **Stereo Vision**: Most native 3D camera systems use two lenses (left and right), similar to how human eyes perceive depth. By capturing two slightly offset images (stereoscopic images), a 3D effect is created when the images are combined.
2. **Depth Mapping**: Some cameras use sensors or technologies like infrared to map depth and create a 3D representation of the scene. This allows the camera to capture not just the width and height of objects, but also their depth.
3. **Autostereoscopic Displays**: For viewing the 3D content captured by a native 3D camera, some devices also come with autostereoscopic displays that don’t require glasses to view 3D images, making the experience more immersive.
4. **3D Video and Photography**: With native 3D functionality, a camera can capture 3D video and still images, which can be viewed on compatible devices or rendered in 3D environments.
The 3D camera function uses Meta’s new Passthrough Camera API, which has ended the experimental stage and is now open to Horizon Store applications, making immerGallery one of the first applications in the official store to implement the API through updates.
Google studies 3D generative “world model”
At the same time, it is reported that Google (GOOG)’s AI research and development organization Google DeepMind is forming a new team to develop generative AI “world models” that can simulate the physical world.
The new team will work with the teams behind Google AI model Gemini, video generation AI Veo, and 3D environment generation AI Genie. Among them, Genie 2 is a world model released last year. This technology can generate diverse interactive 3D game environments in real time based on images and prompts.
In addition, this technology will have a wide range of applications, including the creation of interactive media content and robot training environments. Large companies and emerging technology companies including Nvidia (NVDA) are competing to develop this technology.
It has to be said that in the context of the current wave of digitalization sweeping the world, 3D technology is like a bright new star. With its unique advantages and a wide range of application scenarios, it has realized the “remote control” scene depicted in science fiction movies, changed the way people interact with machines, and profoundly changed the face of many industries.
In fact, 3D technology is a technology that obtains three-dimensional data on the surface of an object by non-contact or contact methods. It can quickly and accurately convert real-world objects into digital models, providing a solid data foundation for subsequent modeling, analysis, design and manufacturing, and greatly shortening the conversion time from physical objects to digital models.
Industry insiders further pointed out that 3D technology has broad application prospects and makes interaction more natural. For example, touchable 3D holograms can be used in education to help students visualize and assemble engine parts; in museums, visitors can interact directly with exhibits without wearing virtual reality equipment.
WiMi innovates holographic 3D interactive technology
It is understood that WiMi (WIMI), as a leader in holographic technology and AR+AI technology, actively embraces cutting-edge technology, has demonstrated a number of innovative achievements in the field of holographic 3D projection technology, and has widely applied it to multiple fields. Based on holographic 3D projection technology, it displays scenes in daily life from different dimensions such as product design concepts, user interaction functions, and applicable scenarios, bringing better technology experience and scenario-based product experience to every user.
At present, WiMi has built a three-dimensional visualization system that supports real-time dynamic updates by integrating computer graphics, augmented reality (AR) and human-computer interaction technology. In addition, WiMi is promoting the deep integration of holographic technology with AI and high-performance computing, aiming to achieve efficient processing of larger-scale data and a more natural interactive experience, and accelerate the creation of an ecological product innovation matrix that integrates functionality, immersion and intelligent interaction.

On May 14, according to technology media reports, Apple (AAPL) plans to launch an innovative technology later this year that allows users to directly control Apple devices through brain signals.
Apple enters the brain-computer field
According to reports, this project is the result of Apple’s cooperation with neurotechnology startup Synchron. Synchron has developed an implantable brain-computer interface (BCI) device called Stentrode, which can help users with severe movement disorders (such as amyotrophic lateral sclerosis, ALS) control Apple devices through brain neural signals.
Apple plans to expand its existing Switch Control accessibility framework to support brain-computer interface devices. Switch Control is a feature that allows users to input through non-standard devices such as joysticks and adaptive hardware. Apple is said to release this new standard later in 2025.
Entering the road of rapid development
Brain-computer interface is a multidisciplinary cutting-edge technology that integrates composite technologies of multiple disciplines such as neuroscience, computer science, intelligent science and technology, etc. It can directly read the brain’s neural signals to realize communication between the human brain and external devices. According to different signal acquisition and output methods, brain-computer interface technology can be divided into invasive, semi-invasive and non-invasive.
From the perspective of market size, related favorable technologies are constantly being implemented, and brain-computer interface technology is entering a rapid development path. According to the “2025 Brain-Computer Interface Industry Blue Book” recently released by the Forward Industry Research Institute, it is estimated that in 2028, the global brain-computer interface market size will exceed US$6 billion, with a five-year compound annual growth rate of 25.22%.
Brain-computer interface companies have invested in layout
Neuralink
As an invasive brain-computer interface company, Neuralink was founded by Musk in 2016. Its products include three basic parts: implants, applications and surgical robots. In early January 2025, Musk announced plans to implant about 20 to 30 cases, and said that the next research direction is to help the visually impaired regain vision by directly connecting to the visual cortex of the brain.
In addition, Neuralink announced that it is developing a more invasive implant device called N1, which contains more than 1,000 electrodes directly embedded in brain tissue, and can provide higher-resolution neural data streams, thereby enabling more complex control functions, such as moving the cursor and entering text by thought.
Meta (META)
Brain-computer interface technology is hot, and Meta has taken a different approach and launched a non-invasive Brain2Qwerty deep learning model, which can “read” the text people enter on the keyboard by analyzing the electroencephalogram or magnetoencephalogram.
Meta’s new architecture can decode the participants’ electroencephalogram (EEG) or magnetoencephalogram (MEG) signals. For the best-performing participants, the model achieved a character error rate of 19% and could perfectly decode various sentences outside the training set.
In response, Meta said that its new Brain2Qwerty deep learning architecture demonstrated the great potential of non-invasive brain-computer interface technology. This research is not only a technological breakthrough, but also an exploration of the future way of human-machine interaction.
Samsung (SSNGY)
It is reported that Samsung has incorporated brain-computer interface (BCI) into the Metaverse strategic framework, aiming to create a more realistic virtual interactive scene through technology integration. Its goal is to achieve sensory linkage between users and XR environments through brain-computer interface devices, such as realistic simulation of tactile and olfactory feedback.
In addition, Samsung cooperated with Blackrock, a brain-computer interface startup, to use its CereStim neurostimulator for signal processing and user stimulation. The device supports high-precision neural activity recording and real-time feedback. It records the neural signals when the user touches the object through electrodes and converts them into programmable stimulation parameters.
WiMi (WIMI)
At present, facing the fact that many listed companies are increasing their investment in the research and development of brain-computer interface technology, it is understood that WiMi, which focuses on brain-computer interface and robotics, has also continued to explore the application of this technology in medical health, entertainment and other fields, further promoting the global market layout, and providing global customers with better and more efficient brain-computer interface solutions.
At present, WiMi has built patent and technical barriers and applied for a number of brain-computer interface related patents, including holographic brain-controlled robot system, brain-computer interface signal processing method, flexible electrode protection structure design, etc., covering the entire process of hardware optimization and data processing. At the same time, it has accelerated the exploration of the combination of quantum computing and brain science, using quantum computing to decode brain signals in real time, breaking through the efficiency bottleneck of traditional algorithms, and improving the response speed of human-computer interaction. It has become an important player in the field of brain-computer interface.

It is reported that Meta (META) Quest 3 has obtained native 3D camera support through immerGallery, and the immerGallery 1.3.5 update brings native 3D camera function.
What is native 3D camera function?
A native 3D camera function refers to the ability of a camera system, either hardware or software, to capture images or videos in three dimensions (3D) without requiring external tools or software to simulate the 3D effect. These functions are typically found in devices such as smartphones, digital cameras, or VR/AR systems that come with built-in 3D capabilities.
Here’s a breakdown of what a native 3D camera function involves:
1. **Stereo Vision**: Most native 3D camera systems use two lenses (left and right), similar to how human eyes perceive depth. By capturing two slightly offset images (stereoscopic images), a 3D effect is created when the images are combined.
2. **Depth Mapping**: Some cameras use sensors or technologies like infrared to map depth and create a 3D representation of the scene. This allows the camera to capture not just the width and height of objects, but also their depth.
3. **Autostereoscopic Displays**: For viewing the 3D content captured by a native 3D camera, some devices also come with autostereoscopic displays that don’t require glasses to view 3D images, making the experience more immersive.
4. **3D Video and Photography**: With native 3D functionality, a camera can capture 3D video and still images, which can be viewed on compatible devices or rendered in 3D environments.
The 3D camera function uses Meta’s new Passthrough Camera API, which has ended the experimental stage and is now open to Horizon Store applications, making immerGallery one of the first applications in the official store to implement the API through updates.
Google studies 3D generative “world model”
At the same time, it is reported that Google (GOOG)’s AI research and development organization Google DeepMind is forming a new team to develop generative AI “world models” that can simulate the physical world.
The new team will work with the teams behind Google AI model Gemini, video generation AI Veo, and 3D environment generation AI Genie. Among them, Genie 2 is a world model released last year. This technology can generate diverse interactive 3D game environments in real time based on images and prompts.
In addition, this technology will have a wide range of applications, including the creation of interactive media content and robot training environments. Large companies and emerging technology companies including Nvidia (NVDA) are competing to develop this technology.
It has to be said that in the context of the current wave of digitalization sweeping the world, 3D technology is like a bright new star. With its unique advantages and a wide range of application scenarios, it has realized the “remote control” scene depicted in science fiction movies, changed the way people interact with machines, and profoundly changed the face of many industries.
In fact, 3D technology is a technology that obtains three-dimensional data on the surface of an object by non-contact or contact methods. It can quickly and accurately convert real-world objects into digital models, providing a solid data foundation for subsequent modeling, analysis, design and manufacturing, and greatly shortening the conversion time from physical objects to digital models.
Industry insiders further pointed out that 3D technology has broad application prospects and makes interaction more natural. For example, touchable 3D holograms can be used in education to help students visualize and assemble engine parts; in museums, visitors can interact directly with exhibits without wearing virtual reality equipment.
WiMi innovates holographic 3D interactive technology
It is understood that WiMi (WIMI), as a leader in holographic technology and AR+AI technology, actively embraces cutting-edge technology, has demonstrated a number of innovative achievements in the field of holographic 3D projection technology, and has widely applied it to multiple fields. Based on holographic 3D projection technology, it displays scenes in daily life from different dimensions such as product design concepts, user interaction functions, and applicable scenarios, bringing better technology experience and scenario-based product experience to every user.
At present, WiMi has built a three-dimensional visualization system that supports real-time dynamic updates by integrating computer graphics, augmented reality (AR) and human-computer interaction technology. In addition, WiMi is promoting the deep integration of holographic technology with AI and high-performance computing, aiming to achieve efficient processing of larger-scale data and a more natural interactive experience, and accelerate the creation of an ecological product innovation matrix that integrates functionality, immersion and intelligent interaction.

On May 14, according to technology media reports, Apple (AAPL) plans to launch an innovative technology later this year that allows users to directly control Apple devices through brain signals.
Apple enters the brain-computer field
According to reports, this project is the result of Apple’s cooperation with neurotechnology startup Synchron. Synchron has developed an implantable brain-computer interface (BCI) device called Stentrode, which can help users with severe movement disorders (such as amyotrophic lateral sclerosis, ALS) control Apple devices through brain neural signals.
Apple plans to expand its existing Switch Control accessibility framework to support brain-computer interface devices. Switch Control is a feature that allows users to input through non-standard devices such as joysticks and adaptive hardware. Apple is said to release this new standard later in 2025.
Entering the road of rapid development
Brain-computer interface is a multidisciplinary cutting-edge technology that integrates composite technologies of multiple disciplines such as neuroscience, computer science, intelligent science and technology, etc. It can directly read the brain’s neural signals to realize communication between the human brain and external devices. According to different signal acquisition and output methods, brain-computer interface technology can be divided into invasive, semi-invasive and non-invasive.
From the perspective of market size, related favorable technologies are constantly being implemented, and brain-computer interface technology is entering a rapid development path. According to the “2025 Brain-Computer Interface Industry Blue Book” recently released by the Forward Industry Research Institute, it is estimated that in 2028, the global brain-computer interface market size will exceed US$6 billion, with a five-year compound annual growth rate of 25.22%.
Brain-computer interface companies have invested in layout
Neuralink
As an invasive brain-computer interface company, Neuralink was founded by Musk in 2016. Its products include three basic parts: implants, applications and surgical robots. In early January 2025, Musk announced plans to implant about 20 to 30 cases, and said that the next research direction is to help the visually impaired regain vision by directly connecting to the visual cortex of the brain.
In addition, Neuralink announced that it is developing a more invasive implant device called N1, which contains more than 1,000 electrodes directly embedded in brain tissue, and can provide higher-resolution neural data streams, thereby enabling more complex control functions, such as moving the cursor and entering text by thought.
Meta (META)
Brain-computer interface technology is hot, and Meta has taken a different approach and launched a non-invasive Brain2Qwerty deep learning model, which can “read” the text people enter on the keyboard by analyzing the electroencephalogram or magnetoencephalogram.
Meta’s new architecture can decode the participants’ electroencephalogram (EEG) or magnetoencephalogram (MEG) signals. For the best-performing participants, the model achieved a character error rate of 19% and could perfectly decode various sentences outside the training set.
In response, Meta said that its new Brain2Qwerty deep learning architecture demonstrated the great potential of non-invasive brain-computer interface technology. This research is not only a technological breakthrough, but also an exploration of the future way of human-machine interaction.
Samsung (SSNGY)
It is reported that Samsung has incorporated brain-computer interface (BCI) into the Metaverse strategic framework, aiming to create a more realistic virtual interactive scene through technology integration. Its goal is to achieve sensory linkage between users and XR environments through brain-computer interface devices, such as realistic simulation of tactile and olfactory feedback.
In addition, Samsung cooperated with Blackrock, a brain-computer interface startup, to use its CereStim neurostimulator for signal processing and user stimulation. The device supports high-precision neural activity recording and real-time feedback. It records the neural signals when the user touches the object through electrodes and converts them into programmable stimulation parameters.
WiMi (WIMI)
At present, facing the fact that many listed companies are increasing their investment in the research and development of brain-computer interface technology, it is understood that WiMi, which focuses on brain-computer interface and robotics, has also continued to explore the application of this technology in medical health, entertainment and other fields, further promoting the global market layout, and providing global customers with better and more efficient brain-computer interface solutions.
At present, WiMi has built patent and technical barriers and applied for a number of brain-computer interface related patents, including holographic brain-controlled robot system, brain-computer interface signal processing method, flexible electrode protection structure design, etc., covering the entire process of hardware optimization and data processing. At the same time, it has accelerated the exploration of the combination of quantum computing and brain science, using quantum computing to decode brain signals in real time, breaking through the efficiency bottleneck of traditional algorithms, and improving the response speed of human-computer interaction. It has become an important player in the field of brain-computer interface.