New Technology Inventions 2023

The year 2023 promises to be an exciting one for technology enthusiasts, as many breakthroughs and innovations are expected to emerge in various fields. From green energy to virtual reality, from gene editing to quantum computing, here are some of the new technology inventions that will change the world in 2023.

## Commercial Nuclear Fusion Power

Nuclear fusion is the process of fusing two lighter atoms into a heavier one, releasing a huge amount of energy in the process. Unlike nuclear fission, which splits atoms and produces radioactive waste, nuclear fusion is clean, safe and virtually limitless. However, achieving nuclear fusion on Earth has been a daunting challenge, as it requires extremely high temperatures and pressures to overcome the repulsion between positively charged nuclei.

Several projects around the world are working on developing nuclear fusion reactors that can produce more energy than they consume, reaching a milestone known as "net energy gain". One of them is the **International Thermonuclear Experimental Reactor (ITER)**, a multinational collaboration that aims to build the world's largest fusion reactor in France². The project is expected to achieve its first plasma in 2023, and start producing fusion power by 2035².

Another project is the **Korea Superconducting Tokamak Advanced Research (KSTAR)** facility, which achieved a record-breaking 30 seconds of plasma operation at over 100 million degrees Celsius in 2022¹. The facility plans to extend the plasma duration to 300 seconds by 2023, and eventually reach net energy gain by 2030¹.

## Robot Knowledge Sharing

Robots are becoming more intelligent and capable every day, thanks to advances in artificial intelligence (AI), machine learning and computer vision. However, most robots still operate in isolation, relying on their own sensors and data to perform tasks. What if robots could share their knowledge and skills with each other, and learn from each other's experiences?

This is the idea behind **robot knowledge sharing**, a technology that enables robots to communicate and collaborate through a common network or platform. By sharing information such as maps, objects, actions and outcomes, robots can improve their performance and adapt to new situations faster and more efficiently.

One example of robot knowledge sharing is **RoboEarth**, a project funded by the European Union that created a cloud-based database for robots². The database allows robots to upload and download information about their environment, tasks and solutions, as well as request help from other robots or humans². Another example is **RoboBrain**, a similar project led by Cornell University that aims to build a large-scale online knowledge base for robots².

## DAOs

DAOs stands for **decentralized autonomous organizations**, which are entities that operate without human intervention, based on predefined rules encoded in smart contracts. Smart contracts are self-executing agreements that run on blockchain platforms, such as Ethereum or Cardano. They enable transactions to be executed automatically and transparently, without intermediaries or central authorities.

DAOs can be seen as a new form of governance or organization that leverages the power of blockchain technology to create trustless and democratic systems. DAOs can have various purposes and functions, such as managing funds, providing services, coordinating actions or creating value. Some examples of DAOs are **MakerDAO**, which issues a stablecoin called DAI backed by crypto assets², **Uniswap**, which facilitates decentralized exchange of tokens², and **The DAO**, which was an ambitious project that aimed to create a decentralized venture capital fund².

DAOs are expected to grow in popularity and complexity in 2023, as more people become aware of their potential and benefits. DAOs could revolutionize various sectors and industries, such as finance, governance, social media, gaming and art.

## Digital Twin of a Customer

A digital twin is a virtual representation of a physical object or system that simulates its behavior and performance in real time. Digital twins are widely used in engineering and manufacturing to optimize design, testing and maintenance of products and processes. However, digital twins can also be applied to humans, creating personalized models that capture their preferences, behaviors and needs.

A **digital twin of a customer** is a technology that creates a dynamic profile of a customer based on their data collected from various sources, such as online platforms, social media, sensors and devices. The profile can then be used to provide customized recommendations, offers and experiences to the customer, as well as to predict their future actions and preferences.

Digital twin of a customer can enhance customer satisfaction, loyalty and retention by delivering more relevant and personalized services and products. It can also help businesses gain deeper insights into their customers' needs and wants, as well as optimize their marketing strategies and operations.

## 6G

6G stands for **sixth-generation wireless technology**, which is the successor of 5G. 6G aims to provide faster speed, lower latency, higher capacity and better reliability than 5G. 6G is still in the early stages of research and development, and it is not expected to be commercially available until the 2030s².

6G will use higher frequency bands than 5G, such as millimeter waves (30 to 300 GHz) and terahertz waves (300 to 3000 GHz)². These frequencies can carry more data and enable ultra-high resolution applications, such as holographic communication, immersive VR/AR and remote sensing². However, they also have more challenges, such as higher attenuation, interference and propagation loss². Therefore, 6G will require advanced technologies, such as massive MIMO, beamforming, intelligent reflecting surfaces and satellite integration, to overcome these limitations².

6G will also leverage artificial intelligence (AI) and machine learning (ML) to optimize network performance, resource allocation, security and user experience². AI and ML will enable 6G networks to be more adaptive, autonomous and self-organizing, as well as to support cognitive applications, such as brain-computer interfaces, emotion recognition and natural language processing².

6G will enable new use cases and scenarios that are beyond the reach of 5G, such as ubiquitous wireless intelligence, global coverage, extreme mobility and ultra-reliability². 6G will also support the convergence of communication, computing and sensing, creating a seamless integration between the physical and digital worlds².

## 4D Printing

4D printing is an extension of 3D printing, which is the process of creating physical objects from digital models by depositing layers of material on top of each other. 4D printing adds the dimension of time, meaning that the printed objects can change their shape, function or properties over time, in response to external stimuli, such as temperature, light, moisture or pressure¹.

4D printing has many potential applications, such as smart textiles, self-assembling structures, adaptive devices and biomedical implants¹. For example, 4D printed clothing could adjust its fit, color or insulation according to the wearer's preferences or environmental conditions¹. 4D printed buildings could adapt to weather changes or natural disasters by changing their shape or orientation¹. 4D printed organs could grow and heal themselves after transplantation¹.

4D printing is still in its infancy, but it is expected to advance rapidly in 2023, as more materials, methods and designs are developed and tested. 4D printing could revolutionize various industries and sectors, such as fashion, architecture, engineering, medicine and aerospace¹.

## Generative Design AI

Generative design AI is a technology that uses artificial intelligence (AI) and machine learning (ML) to generate optimal solutions for complex design problems. Generative design AI can explore a vast number of possible options based on predefined criteria, constraints and objectives, and then select the best ones for further evaluation or refinement².

Generative design AI can enable faster, cheaper and more efficient design processes, as well as more innovative and sustainable outcomes. Generative design AI can also facilitate human-machine collaboration, where designers can provide feedback and guidance to the AI system, and vice versa².

Generative design AI has applications in various domains, such as product design, graphic design, web design, architecture, engineering and art². For example, generative design AI can create novel shapes and structures for products that optimize their performance, functionality and aesthetics². Generative design AI can also create logos, icons, fonts and layouts for websites that match the brand identity and user preferences².

Generative design AI is expected to become more widespread and accessible in 2023, as more tools and platforms are developed and improved. Generative design AI could transform the way we create and consume products and services in the digital age².

## Digital Twins

Digital twins are virtual replicas of physical objects, systems or processes that simulate their behavior and performance in real time. Digital twins can be used to monitor, analyze and optimize the operation and maintenance of the physical counterparts, as well as to test new scenarios and solutions³.

Digital twins have applications in various domains, such as manufacturing, energy, transportation, healthcare, agriculture and smart cities³. For example, digital twins can help manufacturers improve product quality, reduce costs and increase efficiency by detecting faults, predicting failures and optimizing production processes³. Digital twins can also help healthcare providers improve patient outcomes, reduce risks and personalize treatments by creating models of human organs, diseases and drugs³.

Digital twins are expected to become more widespread and sophisticated in 2023, as more data sources, sensors and devices are integrated and connected through the internet of things (IoT). Digital twins will also leverage artificial intelligence (AI) and machine learning (ML) to enhance their accuracy, intelligence and autonomy³.

## Quantum Computing

Quantum computing is a technology that uses the principles of quantum mechanics to perform computations that are beyond the reach of classical computers. Quantum computers can manipulate quantum bits (qubits), which can exist in superposition of two states (0 and 1) at the same time, and entanglement, which means that two qubits can share a quantum state even when they are separated by a distance. This enables quantum computers to process massive amounts of data and perform complex calculations at unprecedented speed and efficiency⁴.

Quantum computing has potential applications in various fields, such as cryptography, optimization, simulation, machine learning and artificial intelligence⁴. For example, quantum computers could crack encryption codes that are currently considered unbreakable by classical computers, such as RSA or AES⁴. Quantum computers could also solve optimization problems that are too complex or time-consuming for classical computers, such as finding the shortest route for a delivery truck or the best allocation of resources for a project⁴.

Quantum computing is still in its early stages of development, but it is expected to make significant progress in 2023, as more research and investment are dedicated to this field. Several companies and organizations are working on developing quantum computers and algorithms, such as IBM, Google, Microsoft, Amazon, Intel, Alibaba, Rigetti Computing and D-Wave Systems⁴. Some of them have already demonstrated quantum supremacy or quantum advantage, which means that they have performed tasks that are impossible or impractical for classical computers⁴.

## Metaverse

Metaverse is a term that refers to a shared virtual reality (VR) environment where people can interact with each other and with digital content, such as games, social media, entertainment and education⁴. The metaverse is not a single platform or application, but rather a network of interconnected virtual worlds that can be accessed through various devices, such as VR headsets, smartphones, tablets and computers⁴.

The metaverse is expected to grow and evolve in 2023, as more users, creators and businesses join and contribute to this immersive and interactive space. The metaverse will also leverage technologies such as artificial intelligence (AI), blockchain, cloud computing and 5G/6G to enhance its realism, security, scalability and accessibility⁴.

The metaverse will enable new experiences and opportunities that are not possible in the physical world, such as exploring exotic locations, meeting celebrities, attending concerts, learning new skills and creating digital assets⁴. The metaverse will also create new challenges and risks, such as privacy, security, regulation and ethics⁴.

## Superapps

Superapps are applications that offer a variety of services and functions within a single platform, such as messaging, social media, e-commerce, gaming, entertainment, finance and more². Superapps aim to provide a seamless and convenient user experience by integrating multiple features and services that would otherwise require separate apps².

Superapps are popular in Asia, especially in China, where platforms such as WeChat, Alipay and Meituan offer millions of users access to a wide range of online and offline services². Superapps are also emerging in other regions, such as Latin America, Africa and Europe, where platforms such as Rappi, Jumia and Yandex offer similar services².

Superapps are expected to become more widespread and dominant in 2023, as more users seek convenience and efficiency in their digital lives. Superapps will also leverage technologies such as artificial intelligence (AI), blockchain, cloud computing and 5G/6G to enhance their functionality, personalization and security².

Superapps will enable new business models and opportunities for both service providers and consumers, such as cross-selling, loyalty programs, data analytics and social commerce². Superapps will also pose new challenges and threats for competitors, regulators and users, such as market concentration, data privacy and security².

## Robotic Process Automation

Robotic process automation (RPA) is a technology that uses software robots or digital workers to automate repetitive, rule-based and high-volume tasks that are usually performed by humans². RPA can mimic human actions, such as clicking, typing, copying and pasting, by interacting with user interfaces of various applications².

RPA can improve efficiency, accuracy, speed and scalability of business processes, as well as reduce costs, errors and risks². RPA can also free up human workers from mundane and tedious tasks, allowing them to focus on more creative and value-added activities².

RPA has applications in various industries and functions, such as finance, accounting, human resources, customer service, healthcare, logistics and manufacturing². For example, RPA can automate invoice processing, payroll management, data entry, email response, order fulfillment and inventory management².

RPA is expected to become more advanced and widespread in 2023, as more businesses adopt and integrate this technology into their workflows. RPA will also leverage technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and computer vision to enhance its capabilities, intelligence and adaptability².

## Building Information Modelling

Building information modelling (BIM) is a technology that creates digital representations of physical buildings and infrastructure, such as roads, bridges and tunnels¹. BIM can capture various aspects of a building or infrastructure project, such as design, construction, operation and maintenance¹.

BIM can improve collaboration, communication and coordination among various stakeholders involved in a project, such as architects, engineers, contractors and owners¹. BIM can also improve efficiency, quality, safety and sustainability of a project by enabling simulation, analysis and optimization of various scenarios and solutions¹.

BIM has applications in various sectors and stages of a project lifecycle, such as planning, design, construction, operation and demolition¹. For example, BIM can help plan the layout and budget of a project, design the structure and systems of a building or infrastructure, monitor the progress and performance of a construction site, operate and maintain a facility or asset efficiently and safely¹.

BIM is expected to become more widespread and sophisticated in 2023, as more standards and regulations are developed and implemented to promote its adoption and integration. BIM will also leverage technologies such as cloud computing, internet of things (IoT), artificial intelligence (AI) and augmented reality (AR) to enhance its functionality

## Blockchain, IoT, AI and Security

Blockchain, IoT, AI and security are four technologies that are closely related and interdependent, and that will have a significant impact on various domains and industries in 2023.

Blockchain is a technology that enables distributed and decentralized ledger systems that can store and verify transactions without intermediaries or central authorities². Blockchain can improve transparency, trust, efficiency and security of various processes and applications, such as supply chain management, digital identity, smart contracts and cryptocurrencies².

IoT is a technology that enables the connection and communication of various devices, sensors and objects through the internet, creating a network of physical and digital entities that can collect, exchange and process data². IoT can improve convenience, productivity, performance and sustainability of various systems and applications, such as smart homes, smart cities, smart agriculture and smart healthcare².

AI is a technology that enables machines and systems to perform tasks that normally require human intelligence, such as learning, reasoning, decision making and natural language processing². AI can improve accuracy, speed, scalability and personalization of various processes and applications, such as image recognition, speech recognition, recommendation systems and chatbots².

Security is a technology that enables the protection of data, systems and networks from unauthorized access, use or modification². Security can prevent or mitigate various threats and risks, such as cyberattacks, data breaches, identity theft and fraud².

Blockchain, IoT, AI and security will work together to create more integrated, intelligent and secure solutions for various challenges and opportunities in 2023. For example, blockchain can provide a secure and transparent platform for IoT devices to share data and execute transactions². IoT can provide a rich source of data for AI systems to learn from and optimize². AI can provide a powerful tool for security systems to detect and respond to anomalies and attacks². Security can provide a robust framework for blockchain, IoT and AI systems to operate safely and reliably².

## Cloud and Mobile Technology

Cloud and mobile technology are two technologies that enable the access and delivery of various services and applications over the internet, using devices such as smartphones, tablets and laptops². Cloud and mobile technology can improve convenience, flexibility, scalability and affordability of various processes and applications, such as data storage, software development, communication and collaboration².

Cloud and mobile technology have applications in various domains and industries, such as education, entertainment, healthcare, business and social media². For example, cloud and mobile technology can enable online learning platforms that provide personalized and interactive courses for students of all ages and levels². Cloud and mobile technology can also enable streaming services that provide on-demand access to a variety of content, such as music, movies, games and podcasts².

Cloud and mobile technology are expected to become more advanced and ubiquitous in 2023, as more users adopt and demand these technologies for their personal and professional needs. Cloud and mobile technology will also leverage technologies such as artificial intelligence (AI), machine learning (ML), blockchain and 5G/6G to enhance their functionality, security and performance².

## Drones or Unmanned Aerial Vehicles

Drones or unmanned aerial vehicles (UAVs) are aircraft that can fly without a human pilot on board, using remote control or autonomous systems¹. Drones can carry various payloads, such as cameras, sensors, weapons or cargo¹.

Drones can perform various tasks that are too dangerous, difficult or expensive for humans or manned aircraft, such as surveillance, reconnaissance, delivery, rescue and warfare¹. Drones can also perform tasks that are too tedious or time-consuming for humans or manned aircraft, such as mapping, inspection, agriculture and photography¹.

Drones are expected to become more widespread and diverse in 2023, as more regulations and standards are developed and implemented to facilitate their integration into the airspace. Drones will also leverage technologies such as artificial intelligence (AI), machine learning (ML), computer vision and 5G/6G to enhance their capabilities

## Virtual Reality, Augmented Reality and 3D Printing

Virtual reality (VR), augmented reality (AR) and 3D printing are three technologies that enable the creation and manipulation of digital and physical objects, as well as the immersion and interaction with virtual environments².

VR is a technology that creates a simulated environment that can be experienced through a headset or a screen². VR can provide a realistic and immersive experience that can be used for various purposes, such as entertainment, education, training and therapy².

AR is a technology that overlays digital information or objects onto the real world, using a device such as a smartphone, a tablet or a smart glasses². AR can provide an enhanced and interactive experience that can be used for various purposes, such as navigation, gaming, shopping and art².

3D printing is a technology that creates physical objects from digital models by depositing layers of material on top of each other². 3D printing can produce customized and complex objects that can be used for various purposes, such as prototyping, manufacturing, medicine and fashion².

VR, AR and 3D printing are expected to become more advanced and accessible in 2023, as more devices, platforms and applications are developed and improved. VR, AR and 3D printing will also leverage technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and 5G/6G to enhance their functionality, quality and performance².

VR, AR and 3D printing will enable new possibilities and opportunities for various domains and industries, such as entertainment, education, healthcare, business and social media². VR, AR and 3D printing will also create new challenges and risks for users, such as privacy, security, regulation and ethics².

## Artificial Intelligence and Exoskeletons

Artificial intelligence (AI) and exoskeletons are two technologies that enable the enhancement and augmentation of human capabilities, such as cognition, strength and mobility².

AI is a technology that enables machines and systems to perform tasks that normally require human intelligence, such as learning, reasoning, decision making and natural language processing². AI can improve accuracy, speed, scalability and personalization of various processes and applications, such as image recognition, speech recognition, recommendation systems and chatbots².

Exoskeletons are wearable devices that support or augment the movement and function of the human body, using motors, sensors and actuators². Exoskeletons can improve strength, endurance, mobility and safety of various tasks and activities, such as lifting heavy objects, walking long distances or recovering from injuries².

AI and exoskeletons are expected to become more advanced and accessible in 2023, as more research and development are dedicated to these fields. AI and exoskeletons will also leverage technologies such as machine learning (ML), computer vision, cloud computing and 5G/6G to enhance their functionality, intelligence and performance².

AI and exoskeletons will enable new possibilities and opportunities for various domains and industries, such as healthcare, manufacturing, military and entertainment². AI and exoskeletons will also create new challenges and risks for users, such as privacy, security, regulation and ethics².

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