How AI is Powering the Next Generation of Display Technologies with Intelligence and Innovation
Display technologies are constantly evolving to meet the growing demands of consumers and businesses for immersive and interactive visual experiences. From smartphones and tablets to laptops and TVs, displays are everywhere and they are becoming smarter and more powerful with the help of artificial intelligence (AI).
AI is a branch of computer science that aims to create machines or systems that can perform tasks that normally require human intelligence, such as perception, reasoning, learning, decision making, and creativity.
AI Can Be Applied to Various Aspects of Display Technologies
Design and Fabrication
AI can help design and optimize display components, such as pixels, backlights, drivers, and circuits, using advanced algorithms and simulations. AI can also help automate the fabrication process and improve the yield and quality of display products.
Image Processing and Rendering
AI can help enhance the image quality and performance of displays by using techniques such as super-resolution, noise reduction, color correction, contrast enhancement, and dynamic range adjustment. AI can also help render realistic and immersive 3D scenes for virtual reality (VR) and augmented reality (AR) applications.
Content Generation and Recognition
AI can help create and customize content for displays by using methods such as natural language processing, computer vision, speech synthesis, and style transfer. AI can also help recognize and analyze the content displayed on screens, such as faces, objects, gestures, emotions, and contexts.
User Interaction and Feedback
AI can help enable natural and intuitive user interaction with displays by using modalities such as voice, touch, eye gaze, and brain waves. AI can also help provide personalized and adaptive feedback to users based on their preferences, behaviors, and responses.
Future of Display Technologies
AI is transforming the future of display technologies by enabling new capabilities and possibilities that were not feasible before. Some examples of emerging display technologies that leverage AI are:
Holographic Optical Elements (HOEs)
HOEs are thin films that can diffract light into different directions and wavelengths. They can be used to create compact and lightweight AR and VR headsets that can provide a wide field of view (FoV), large eye box, high angular resolution, and correct depth cue.
HOEs can also be integrated with liquid crystal devices to enable active switching and modulation of holograms.
Lithography-Enabled Devices
Lithography is a technique that can create fine patterns on a substrate using light or electrons. It can be used to fabricate micro-LEDs (light-emitting diodes), meta surfaces, and other nanoscale devices that can enhance the performance and functionality of displays.
Micro-LEDs are tiny LEDs that can form high-resolution, high-brightness, low-power, and flexible displays. Meta surfaces are artificial structures that can manipulate light in novel ways, such as bending, focusing, polarizing, filtering, and encoding.
Digital Signage
Digital signage is a form of electronic display that can show images, videos, texts, or animations in public places. Digital signage can use AI to deliver targeted and dynamic content to audiences based on factors such as location, time, weather, traffic, demographics, and interests.
Digital signage can also use AI to collect data and feedback from viewers using sensors and cameras. AI is revolutionizing the field of display technologies by providing new solutions and opportunities for innovation.
As AI becomes more advanced and ubiquitous, display technologies will become more intelligent and immersive, offering unprecedented visual experiences for users across various domains and applications.
Challenges and Opportunities of Ai for Display Technologies
While AI offers many benefits and possibilities for display technologies, it also poses some challenges and risks that need to be addressed and mitigated. Some of the main challenges and opportunities of AI for display technologies are:
Ethics and Social Impact
AI can have profound ethical and social implications for display technologies, such as privacy, security, accountability, transparency, fairness, and human dignity.
For example, how can we ensure that the data collected and processed by AI-enabled displays is not misused or abused? How can we protect the rights and interests of users and creators of AI-generated content?
How can we prevent or correct the biases and errors of AI systems that affect the quality and accuracy of displayed information? How can we balance the benefits and harms of AI for display technologies for different stakeholders and society at large?
Regulation and Governance
AI can pose challenges to the regulation and governance of display technologies, such as standards, laws, policies, and norms. For example, how can we define and measure the performance and quality of AI-enabled displays?
How can we ensure the compliance and accountability of AI systems and their developers and operators? How can we foster innovation and competition while ensuring the ethical and responsible use of AI for display technologies?
How can we harmonize the regulation and governance of AI across different sectors, regions, and countries?
Education and Skills
AI can create new opportunities and challenges for the education and skills of display technologies, such as learning, training, and employment. For example, how can we educate and train the current and future workforce to develop, use, and manage AI-enabled displays?
How can we leverage AI to enhance the learning outcomes and experiences of display users? How can we anticipate and address the impact of AI on the demand and supply of skills and jobs in the display industry?
Innovation and Collaboration
AI can enable new forms of innovation and collaboration for display technologies, such as research, development, production, and distribution.
For example, how can we foster a culture of creativity and experimentation with AI for display technologies? How can we leverage the diversity and complementarity of human and machine intelligence for display innovation?
How can we facilitate cross-disciplinary and cross-sectoral collaboration among different actors involved in display technologies? AI is a powerful tool that can transform the future of display technologies in many ways. However, it also requires careful consideration and management of its challenges and risks.
By addressing these issues proactively and collaboratively, we can ensure that AI is used for good and not evil and that it serves the interests and values of humanity and nature.
Trends and Examples of AI for Display Technologies
AI is not only transforming the current state of display technologies but also shaping the future trends and directions of the field. Some of the emerging and promising trends and examples of AI for display technologies are:
Generative AI
Generative AI is a branch of AI that can create novel and realistic content, such as images, videos, texts, or sounds, based on existing data or models. Generative AI can be used to create new forms of display content that can enhance the user experience and engagement.
For example, ChatGPT is a generative AI system that can produce coherent and natural texts on any topic or style, such as news articles, lyrics, poems, or stories. ChatGPT can also be used to generate captions, summaries, or translations for display content.
Immersive AI
Immersive AI is a branch of AI that can create immersive and interactive environments, such as VR and AR, that can simulate reality or augment it with digital elements. Immersive AI can be used to create new forms of display applications that can provide rich and realistic visual experiences for users.
For example, Google’s Project Starline is an immersive AI system that can create lifelike 3D holograms of people that can be displayed on a screen and enable natural and realistic communication. Project Starline can also be used to create immersive telepresence and collaboration for display users.
Adaptive AI
Adaptive AI is a branch of AI that can learn from data and feedback and adapt to changing situations and user needs. Adaptive AI can be used to create new forms of display systems that can provide personalized and optimized display performance and functionality for users.
For example, Samsung’s Neo QLED TV is an adaptive AI system that can adjust the brightness, contrast, color, and sound of the display according to the ambient light, content type, user preference, and viewing distance. Neo QLED TV can also be used to upscale low-resolution content to 4K or 8K quality using deep learning.
AI is driving the innovation and development of display technologies by enabling new trends and examples that can provide novel and enhanced display capabilities and possibilities for users.
As AI becomes more sophisticated and accessible, display technologies will become more generative, immersive, and adaptive, offering unprecedented visual experiences for users across various domains and applications.
Conclusion
AI is a powerful and transformative technology that can enhance and revolutionize the field of display technologies.
AI can help design and optimize display components, improve image quality and performance, create and customize display content, enable natural and intuitive user interaction, and provide personalized and adaptive feedback.
AI can also enable new forms of display technologies, such as HOEs, lithography-enabled devices, and digital signage, that can offer new capabilities and possibilities for display users.
However, AI also poses some challenges and risks for display technologies, such as ethics and social impact, regulation and governance, education and skills, and innovation and collaboration.
These issues need to be addressed and mitigated proactively and collaboratively to ensure that AI is used for good and not evil and that it serves the interests and values of humanity and nature.
AI is shaping the future of display technologies by enabling new trends and examples that can provide novel and enhanced display capabilities and possibilities for users.
As AI becomes more advanced and ubiquitous, display technologies will become more intelligent and immersive, offering unprecedented visual experiences for users across various domains and applications.
