Holography

Cigarette Inner Liner Market to Surge to $120 Million by 2034 as Health and Regulatory Landscape Shifts | Future Market Insights, Inc.

Retrieved on: 
Thursday, November 16, 2023
Tobacco industry, Attention, Growth, Printing, Holography, Automation, Heated tobacco product, Internet, Environment, Global Expansion Summit, Digitalization, Drug

This comprehensive report explores the industry's critical shaping factors, challenges, and investment opportunities, providing valuable insights for businesses navigating this dynamic market landscape.

Key Points: 
  • This comprehensive report explores the industry's critical shaping factors, challenges, and investment opportunities, providing valuable insights for businesses navigating this dynamic market landscape.
  • Cigarette Inner Liner Market Forecast by Aluminium Foil and Printing Paper, Global Growth Opportunities, and Revenue Forecast, from 2024 to 2034
    The global cigarette inner liner market is anticipated to register a valuation of US$ 82.6 million in 2024 and reach up to US$ 120.0 million by 2034.
  • The global market is estimated to secure a CAGR of 3.80% during the forecast period.
  • Promote Security: The demand for cigarette inner liners to protect tobacco products with advanced technologies drives market growth.

WiMi Announced Acoustic Hologram Reconstruction Based on Unsupervised Wavefield Deep Learning

Retrieved on: 
Thursday, November 16, 2023
Cloud, Acquisition, Research, Engineering, CNN, Wavefield Inseis, Learning, Augmented reality, Patient, Algorithm, Intelligence, Quality control, Holography, Health, Automation, Deep learning, WIMI, Physician, Noise, Medical imaging

BEIJING, Nov. 16, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed an acoustic hologram reconstruction based on unsupervised wavefield deep learning to address the limitations of traditional acoustic hologram reconstruction methods and improve the efficiency and accuracy of acoustic data processing.

Key Points: 
  • BEIJING, Nov. 16, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed an acoustic hologram reconstruction based on unsupervised wavefield deep learning to address the limitations of traditional acoustic hologram reconstruction methods and improve the efficiency and accuracy of acoustic data processing.
  • The key to WiMi's unsupervised wavefield deep learning-based acoustic hologram reconstruction is it can automatically reconstruct holograms of acoustic data without supervised or human intervention.
  • The principle of the acoustic hologram reconstruction technique based on unsupervised wavefield deep learning is as follows:
    Data acquisition: First, acoustic data needs to be acquired, which can capture the reflection, scattering or propagation of sound waves through sensors.
  • WiMi's unsupervised wavefield deep learning-based acoustic hologram reconstruction utilizes a deep learning model to automatically learn patterns and features in acoustic wavefield data, and then uses this information to generate acoustic holograms.

WiMi Integrated Deep Learning Algorithm into Multi-Depth Hologram Generation

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Wednesday, November 15, 2023
Cloud, Deep learning, CNN, GAN, Learning, Augmented reality, Virtual reality, Algorithm, Holography, Computer simulation, 2D, WIMI, 3D, Education, Knowledge, Image, Security printing

BEIJING, Nov. 15, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it integrated deep learning algorithm into multi-depth hologram generation to extract the depth information of the 3D scene from the input 2D image and convert it into a hologram to realize multi-depth hologram generation.

Key Points: 
  • BEIJING, Nov. 15, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it integrated deep learning algorithm into multi-depth hologram generation to extract the depth information of the 3D scene from the input 2D image and convert it into a hologram to realize multi-depth hologram generation.
  • The deep learning algorithm is the key to the multi-depth hologram generation.
  • The advantage of the multi-depth hologram generation technology based on the deep learning algorithm is that it can generate holograms through computer simulation, avoiding the complex process of traditional hologram production.
  • In the future, WiMi will also continue to explore the field of multi-depth hologram generation algorithms and promote the multi-depth hologram generation technology based on deep learning algorithms to achieve greater breakthroughs and applications.

WiMi Developed a Machine Learning-Based Real-Time Human-Drone Interaction with DigiFlightGlove

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Tuesday, November 14, 2023
Cloud, Calibration, Finger, Agriculture, Acquisition, UAV, Augmented reality, Algorithm, Machine learning, Movement, Posture, Holography, GUI, Human, Finger joint replacement, Aviation, WIMI, Orientation, Gesture, Noise, Surveying

BEIJING, Nov. 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed a machine learning-based real-time human-drone interaction with DigiFlightGlove.

Key Points: 
  • BEIJING, Nov. 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed a machine learning-based real-time human-drone interaction with DigiFlightGlove.
  • While moving drones in three-dimensional space has always been a challenge, WiMi's DigiFlightGlove breaks the limitations of traditional control methods by combining gesture recognition with machine learning.
  • Features of WiMi's DigiFlightGlove include a multi-modal command structure, machine learning-based gesture recognition, intelligent task scheduling algorithms, real-time performance and high accuracy.
  • WiMi's DigiFlightGlove technology is an exploration of the growing demand for drone applications and the premise of wearable technology and machine learning.

WiMi Developed a Quantum Dot Micro-scale Component for AR/VR Displays

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Monday, November 13, 2023
Cloud, Light-emitting diode, Attention, Research, Quantum, Immersion, Student, Augmented reality, Q-D-Š, Light, Holography, Software, WIMI, Growth, VR, Health, Silicon, Education, Gallium nitride, Video game, Pigment, Television, Quantum dot

BEIJING, Nov. 13, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed a breakthrough technology that is gaining attention ---- a quantum dot micro-scale component for AR/VR displays.

Key Points: 
  • BEIJING, Nov. 13, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed a breakthrough technology that is gaining attention ---- a quantum dot micro-scale component for AR/VR displays.
  • The development of WiMi's quantum dot micro-scale display component faced a number of key technological challenges at the same time, including two core key technological breakthroughs.
  • Quantum dot micro-scale display component technology achieves ultra-fast response time, which is realized by employing an array of micro-LEDs.
  • The Quantum Dot micro-scale display component technology employs a QD color conversion layer, a key technology used to enhance color quality.

WiMi Announced Neural Signal-Based Intelligent Assembly Guidance Technology

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Friday, November 10, 2023
Cloud, Brain, Acquisition, BCI, Risk, GxP, Augmented reality, Algorithm, Map, Holography, Workflow, SSVEP, WIMI, Medical imaging, 3D printing

BEIJING, Nov. 10, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that its developed neural signaling-based intelligent assembly guidance technology is an innovation that aims to be both forward-looking and practical.

Key Points: 
  • BEIJING, Nov. 10, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that its developed neural signaling-based intelligent assembly guidance technology is an innovation that aims to be both forward-looking and practical.
  • WiMi's neural signal-based intelligent assembly guidance technology relies on neural signal capture and parsing to translate human intentions into robot actions, thus realizing guidance and collaboration in the intelligent assembly process.
  • The core of WiMi's neural signal-based intelligent assembly guidance technology is to closely link human neural signals with robot operations to achieve intelligent assembly guidance.
  • With the continuous improvement and promotion of the technology, we have reason to believe that the intelligent assembly guidance technology based on neural signals will bring more exciting changes and progress to the society.

WiMi Announced Semantic Segmentation Based on Multi-modal Data Fusion

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Thursday, November 9, 2023
Cloud, Science, RGB, Multi, WIMI, Research, Natural language processing, Transport, CNN, Noise, AR, Augmented reality, Holography, Medical imaging, 3D printing

BEIJING, Nov. 9, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it used multi-modal data to compensate for the lack of single modal data, a semantic segmentation method based on multi-modal data fusion was proposed to improve the accuracy of semantic segmentation.

Key Points: 
  • BEIJING, Nov. 9, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it used multi-modal data to compensate for the lack of single modal data, a semantic segmentation method based on multi-modal data fusion was proposed to improve the accuracy of semantic segmentation.
  • Feature-level fusion, decision-level fusion, and other joint modeling methods can be used for multi-modal data fusion to improve the accuracy of semantic segmentation.
  • WiMi employs data pre-processing, feature extraction, data fusion, and segmentation model training to achieve semantic segmentation for multi-modal data fusion.
  • Semantic segmentation based on multi-modal data fusion still has a lot of room for development in future research, and by solving the problems of multi-modal data fusion and improving the efficiency and accuracy of the algorithm, the development and application of semantic segmentation can be further promoted.

WiMi Announced a Deep Transfer Learning-Based Fusion Model for Image Classification

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Wednesday, November 8, 2023
Cloud, Social media, WIMI, Pedestrian, Environment, Emotion, Classification, CNN, Safety, AR, Deep learning, Augmented reality, Perception, Holography, 3D printing

In image classification, deep transfer learning can accelerate the model training process and improve classification performance by transferring some or all of the network parameters of an already trained model to a new model.

Key Points: 
  • In image classification, deep transfer learning can accelerate the model training process and improve classification performance by transferring some or all of the network parameters of an already trained model to a new model.
  • A fusion model design is used in WiMi's deep transfer learning-based image classification fusion model, which combines several pre-trained deep learning models and integrates them by transfer learning to improve the accuracy of image classification.
  • Image recognition is an important application of deep learning in the field of computer vision, and the image classification and fusion model based on deep transfer learning researched by WiMi will also be widely used in more industry fields.
  • With the successful application of deep transfer learning on image classification tasks, in the future, WiMi will focus more on exploring and improving the image classification fusion model based on deep transfer learning in terms of cross-domain transfer learning, model interpretability, and small-sample learning, in order to further improve the performance and application scope of image classification tasks.

WiMi Developed a Liquid Crystal on Silicon (LCoS) Technology Solution

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Tuesday, November 7, 2023
Cloud, VR, Education, WIMI, Glass, HMDS, Light, Liquid crystal, Holography, Pixel, Virtual reality, Liquid, CMOS, London, Health, AR, Augmented reality, Silicon, Electrode, Electronics, Television, Liquid crystal on silicon

BEIJING, Nov. 7, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed a liquid crystal on silicon (LCoS) technology solution that will revolutionize augmented reality (AR) displays.

Key Points: 
  • BEIJING, Nov. 7, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it has developed a liquid crystal on silicon (LCoS) technology solution that will revolutionize augmented reality (AR) displays.
  • WiMi's LCoS technology for AR displays creatively combines liquid crystals with semiconductor substrates to realize optically addressable liquid crystal light valves.
  • CMOS backplane: The CMOS backplane provides pixel-level control of the electric field used to manipulate the liquid crystal molecules in the liquid crystal layer.
  • When incident light passes through a liquid crystal layer twice, its phase is modulated according to the arrangement pattern of the liquid crystal molecules.

WiMi Developed a Motor Imagery Brain-computer Interface Based on Multi-source Signal Processing

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Monday, November 6, 2023
Cloud, Signal, Stroke, BSS, Magnetic resonance, Multi, Magnetoencephalography, WIMI, Data, MEG, Acquisition, ICA, BCI, Immersion, CSP, Quality of life, Rehabilitation, Interface (computing), Common, Virtual reality, Machine learning, Parkinson's disease, Tetraplegia, Television, Scalp, DSM-IV codes, Classification, Artifact, Algorithm, Noise, Disability, Safety, EEG, Ranking SVM, LDA, AR, Movement, Patient, Augmented reality, Communication, Holography, Medical imaging, Satellite navigation device, Cassette tape, Instrumentation, Video game

BEIJING, Nov. 6, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a motor imagery brain-computer interface (MI-BCI) based on multi-source signal processing has been developed.

Key Points: 
  • BEIJING, Nov. 6, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a motor imagery brain-computer interface (MI-BCI) based on multi-source signal processing has been developed.
  • By introducing a multi-source signal processing approach, this innovative technology enables more accurate brain signal parsing and processing, providing users with higher control accuracy and wider application potential.
  • Its main features and key technology points:
    Multi-source signal processing: The technology employs an advanced multi-source signal processing method that utilizes multiple sources of EEG signals, not just channel signals.
  • Common spatial patterns (CSP): In the early stages of signal processing, CSP algorithms are applied to each sub-band to optimize the extraction of signal features.