Top 15 Technologies that will shape the world in 2023!

As an engineer, you are well aware of how technology trends shape the industry. But with the outbreak of the COVID-19 pandemic in 2020, we have seen an acceleration in the demand for more advanced technology. The sudden shift towards remote work and the increased reliance on technology to keep businesses and individuals connected has had a significant impact on the industry.

At the same time, the pandemic has created disruptions in the supply chain, including a scarcity of semiconductors, which has made it challenging to keep up with the increased demand for technology.

As we look towards 2023, it is clear that these trends will continue to shape the industry, and the technology solutions we create will play an even more important role in helping businesses and individuals adapt to this new way of living and working.

Table of Content:

What are the top 20 new technology trends for 2023?

1. Artificial Intelligence (AI)
2. Robotic Process Automation (RPA)
3. Edge Computing
4. Flying Cars or eVTOLS
5. Quantum Computing
6. Contactless Biometric Technology
7. Augmented Reality (AR) & Virtual Reality (VR)
8. Blockchain
9. Gene Editing
10. New Energy Solution
11. Hyper-Automation
12. Extended Reality
13. Digital Trust Technology
14. Internet of Things (IoT)
15. Flexible Electronics

1. Artificial Intelligence (AI) & Machine Learning (ML)

The AI market is expected to grow significantly in the next decade. The value of the market is currently estimated to be around $100 billion USD, and it is expected to grow to $2 trillion USD by 2030. This growth is driven by the increasing adoption of AI in various industries, including supply chain management, marketing, product development, research, and analysis.

AI and machine learning (ML) are two of the most important technologies of our time. They are already being used in a variety of fields, and their use is only going to grow in the years to come.

What is AI?

Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.

One of the most important recent advances in AI has been the development of deep learning, a technique that allows computers to learn from data without being explicitly programmed. Deep learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, natural language processing, and speech recognition.

Machine learning is a subset of artificial intelligence (AI). AI is a broad term that refers to the ability of machines to mimic human intelligence. Machine learning is a specific type of AI that allows machines to learn without being explicitly programmed. Machine learning algorithms are trained on data, and they can then use that data to make predictions or decisions.

What are the future applications of AI & ML?

AI and ML are being used in a wide range of applications, including:

• PCB Technology: AI is being used to develop different applications from PCB Design Using AI like CELUS and also for finding solutions to your EMC problems using MITA.
• Healthcare: AI and ML are being used to develop new drugs and treatments, diagnose diseases, and provide personalized care to patients.
• Finance: AI and ML are being used to detect fraud, manage risk, and make investment decisions.
• Transportation: AI and ML are being used to develop self-driving cars, optimize traffic flow, and improve public transportation.
• Manufacturing: AI and ML are being used to automate production lines, improve quality control, and design new products.
• Retail: AI and ML are being used to personalise shopping experiences, recommend products, and manage inventory.
  
  

2. Robotics Process Automation (RPA)

The global robotic process automation (RPA) market is expected to grow significantly in the next decade. The market was valued at $13.86 billion in 2023 and is projected to reach $50.50 billion by 2030, at a compound annual growth rate (CAGR) of 20.3%.

This growth is being driven by the increasing adoption of RPA in a variety of industries, including financial services, healthcare, and manufacturing. RPA is a software technology that automates repetitive tasks that are performed by humans. These tasks can include data entry, processing, and reporting.

The RPA market is expected to continue to grow in the coming years. The market is expected to be driven by the increasing adoption of RPA in a variety of industries, the growing availability of data, and the rising demand for automation.

What is Robotic Process Automation (RPA)?

Robotic process automation (RPA) is a software technology that can be used to automate tasks that are currently performed by humans. RPA software is designed to mimic the actions of a human user, interacting with computer applications and systems as if it were a human.

What are the future application of Robotics Process Automation (RPA)?

The future applications of RPA are vast and still being explored. However, some of the most promising areas for RPA include:

• Healthcare: RPA can be used to automate tasks such as medical record coding, scheduling appointments, and processing insurance claims.
• Education: RPA can be used to automate tasks such as grading papers, creating lesson plans, and managing student records.
• Government: RPA can be used to automate tasks such as processing tax returns, issuing permits, and managing benefits programs.
• Manufacturing: RPA can be used to automate tasks such as quality control, inventory management, and production scheduling.
• Retail: RPA can be used to automate tasks such as customer service, order processing, and inventory management.

As RPA technology continues to develop, we can expect to see even more innovative applications of this powerful tool.

3. Edge Computing

The Global Edge Computing Market Size was valued at USD 7.44 billion in 2021 and the global edge computing market share is expected to reach USD 157.91 billion by 2030.

The increasing adoption of edge computing in a variety of industries, including healthcare, manufacturing, retail, and transportation, is driving the growth of the market. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network, closer to the end-user. This helps to improve latency and reduce bandwidth requirements.

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network, closer to the end-user. This helps to improve latency and reduce bandwidth requirements.

What are the future applications of Edge Computing?
The future applications of edge computing are vast and still being explored. However, some of the most promising areas for edge computing include:

• Self-driving cars: Edge computing can be used to process data from sensors in self-driving cars, such as cameras, radar, and lidar. This data can be used to help self-driving cars navigate safely and avoid obstacles.
• Virtual reality and augmented reality: Edge computing can be used to deliver high-quality virtual reality and augmented reality experiences to users with low latency. This technology can be used to improve the user experience for gaming, training, and education applications.
• The Internet of Things (IoT): Edge computing can be used to collect and process data from billions of IoT devices. This data can be used to improve the performance and efficiency of IoT applications, such as smart homes, smart cities, and industrial automation.

4. Flying Cars or eVTOLs

What are Flying Cars or eVTOLs?

A flying car is a vehicle that can take off and land vertically, like a helicopter, and then fly horizontally, like an airplane. This makes them much more versatile than traditional cars, which can only travel on roads. Flying cars could be used to travel between cities, between different parts of a city, or even to take people to remote locations.

What are the Future Applications of flying cars?

Flying cars have the potential to be used for a variety of purposes, including:

• Transportation: Flying cars could be used to provide transportation between cities or between different parts of a city. They could also be used to provide air taxi service to people who live in rural areas.
• Emergency Response: Flying cars could be used to provide emergency medical services or to help with search and rescue operations.
• Tourism: Flying cars could be used to provide tours of cities or to take people to remote locations.
• Delivery: Flying cars could be used to deliver goods or to provide food delivery service.

Flying cars have the potential to make a significant impact on our lives. They could help to make transportation more efficient, environmentally friendly, and accessible. As technology continues to develop, we can expect to see flying cars become more common in our cities.

Here are some of the challenges that need to be addressed before flying cars can become a reality:

• Safety: Flying cars need to be safe to operate. This will require the development of new safety regulations and the testing of new technologies.
• Regulation: Flying cars will need to be regulated by governments. This will involve developing new regulations and ensuring that flying cars meet safety standards.
• Infrastructure: Flying cars will need to be able to take off and land in designated areas. This will require the construction of new infrastructure, such as vertiports.
• Cost: Flying cars are still in the early stages of development, so they are likely to be expensive. As the technology matures, the cost of flying cars is expected to come down.

Despite these challenges, flying cars have the potential to revolutionize urban transportation. As technology continues to develop, we can expect to see flying cars become more common in our cities.

5. Quantum Computing

The quantum computing market size is valued at USD 866 Million in 2023 and is anticipated to be USD 4,375 Million by 2028; growing at a CAGR of 38.3% from 2023 to 2028.

What is Quantum Computing?

Quantum computing is a type of computing that uses the principles of quantum mechanics to perform calculations. Quantum mechanics is a branch of physics that studies the behaviour of matter at the atomic and subatomic levels. Quantum computers are able to perform certain types of calculations much faster than classical computers, which use bits that can only be in one state at a time. Quantum computers use qubits, which can be in both states at the same time. This allows them to perform calculations that would be impossible for classical computers.

What are the future applications of  Quantum Computing?

Some of the potential applications of quantum computing include:

• Drug discovery: Quantum computers could be used to design new drugs and treatments for diseases. Startups like Babylon are doing amazing work in this field.
• Materials science: Quantum computers could be used to design new materials with improved properties.
• Machine learning: Quantum computers could be used to train machine learning models that are more accurate and efficient than those trained on classical computers.
• Cryptography: Quantum computers could be used to break current cryptographic algorithms, which could have implications for security and privacy.
• Artificial intelligence: Quantum computers could be used to develop new artificial intelligence algorithms that are more powerful than those that can be implemented on classical computers.

6. Contactless Biometric Technology

The Global Contactless Biometrics Technology Market size was valued at USD 11.93 Billion in 2022 and is projected to be USD 48.23 Billion by 2030, growing at a CAGR of 19.1 % from 2023 to 2030, as per a recent market analysis report published by Cognitive Market Research.

What is Contactless Biometric Technology?

Contactless biometric technology is a type of biometric authentication that does not require the user to physically touch a sensor. This makes it a more hygienic and convenient option than traditional biometric authentication methods, such as fingerprint scanners and facial recognition.

Biometrics is using unique physical or behavioural characteristics to identify an individual. This technology is already being used in a variety of applications, such as fingerprint scanners on smartphones and facial recognition software for security purposes.

There are a variety of contactless biometric technologies available, including:

• Iris scanning: This technology uses a camera to scan the user's iris, which is a unique pattern of colours and textures in the eye.
• Facial recognition: This technology uses a camera to scan the user's face, which is also a unique pattern of features.
• Vein scanning: This technology uses a sensor to scan the user's veins, Keyo empowers you to prove who you are and access what’s yours with a wave of your hand. Pay at stores, redeem tickets, and open doors without phones, cards, or keys.
• Voice recognition: This technology uses a microphone to record the user's voice, which is also a unique pattern.

What are the future applications of Contactless Biometric Technology?

Biometric technology is still in its early stages of development, but it has the potential to be used in a variety of applications, including:

• Access control: Biometric technology could be used to unlock doors, start cars, and access computers and other devices.
• Payment: Biometric technology could be used to make payments without having to carry a physical card or phone.
• Security: Biometric technology could authenticate users and prevent unauthorized access to systems and data.
• Healthcare: Biometric technology could be used to monitor patients' health and identify diseases.
• Education: Biometric technology could be used to track students' attendance and progress.

7. Augmented Reality and Virtual Reality

In 2021, the market for augmented reality and virtual reality was valued at USD 22.6 billion. By 2030, it is anticipated to reach USD 451.5 billion. Let us know, 10 reasons why AR and VR market size will reach $451 by 2030: The demand for augmented reality (AR) technology and its uses in healthcare are growing.

What is Augmented Reality and Virtual Reality?

Augmented reality (AR) is a technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view. This technology is becoming increasingly popular in a variety of applications, including gaming, education, and marketing.

Virtual reality (VR) is a technology that creates a simulated environment that a person can interact with in a seemingly real or physical way using special electronic equipment, such as a helmet with a screen inside or gloves fitted with sensors. VR can be used for entertainment, education, and training.

What are the future applications of Augmented Reality (AR) and Virtual Reality (VR)?

Some of the future applications of AR and VR include:

• Gaming: AR and VR can be used to create more immersive and engaging gaming experiences. For example, AR could be used to overlay game elements in the real world, while VR could be used to create completely immersive virtual worlds.
• Education: AR and VR can be used to create more interactive and engaging educational experiences. For example, AR could overlay educational content on real-world objects, while VR could be used to create virtual field trips.
• Marketing: AR and VR can be used to create more engaging and persuasive marketing experiences. For example, AR could be used to overlay product information on real-world objects, while VR could create virtual showrooms.
• Healthcare: AR and VR can be used to create more immersive and effective healthcare experiences. For example, AR could be used to provide surgeons with real-time guidance during surgery, while VR could be used to create virtual environments for patients to practice skills or experience different treatments.
• Manufacturing: AR and VR can be used to create more efficient and productive manufacturing processes. For example, AR could be used to provide workers with real-time instructions and feedback, while VR could be used to create virtual simulations of manufacturing processes.

8. Blockchain

The global blockchain market was valued at USD 4.67 billion in 2021 and is projected to grow from USD 7.18 billion in 2022 to USD 163.83 billion by 2029, exhibiting a CAGR of 56.3% during the forecast period.

What is BlockChain Technology?

Blockchain is a distributed ledger technology that allows for secure, transparent, and tamper-proof transactions. It is a shared database that is maintained by a network of computers, and each computer has a copy of the entire database. This makes it very difficult to hack or tamper with the data, as any changes would be immediately visible to all users.

What are the future applications of BlockChain Technology?

Blockchain is still in its early stages of development, but it has the potential to revolutionize many industries. Some of the potential applications of blockchain technology include:

• Financial services: Blockchain could be used to create more efficient and secure payment systems. For example, it could be used to process international payments more quickly and cheaply or to create new types of financial products such as peer-to-peer lending.
• Supply chain management: Blockchain could be used to track the movement of goods and materials through the supply chain. This could help to improve efficiency, transparency, and security.
• Healthcare: Blockchain could be used to store and share patient medical records. This could help to improve the quality of care and reduce costs.
• Government: Blockchain could be used to improve government efficiency and transparency. For example, it could be used to track government spending or to create a more secure voting system.
• Other industries: Blockchain has the potential to be used in many other industries, such as real estate, insurance, and manufacturing.

9. Gene Editing

The global Genome Editing Market boasts a total value of $5.1 billion in 2021 and is projected to register a growth rate of 18.2% to reach a value of $11.7 billion by 2026.

What is Gene Editing?

What are the future applications of Gene Editing?

Gene editing has a wide range of potential applications, including:

• Treating and preventing diseases: Gene editing could be used to treat or prevent diseases by correcting genetic mutations that cause disease. For example, gene editing could be used to treat sickle cell anaemia, cystic fibrosis, and haemophilia.
  Intellia’s co-founders, Jennifer Doudna, and Emmanuelle Charpentier were awarded the 2020 Nobel Prize in Chemistry for their pioneering work in CRISPR.
• Improving crops and livestock: Gene editing could be used to improve crops and livestock by making them more resistant to pests and diseases, or by making them produce more food.
• Creating new biofuels and other products: Gene editing could be used to create new biofuels and other products from plants and other organisms.
• Personalising medicine: Gene editing could be used to personalise medicine by tailoring treatments to the individual's genetic makeup. This could lead to more effective and targeted treatments for diseases.

10. New Energy Solutions

The global renewable energy market was valued at $ 881.7 billion in 2020 and is projected to reach $1,977.6 billion by 2030, growing at a CAGR of 8.4% from 2021 to 2030.

What is New Energy Solution?

New energy solutions are technologies that generate energy from sources that are not fossil fuels, such as solar, wind, and hydropower. They are considered to be more sustainable than fossil fuels because they do not produce greenhouse gases that contribute to climate change.

What are the future applications of New Energy Solutions?

New energy solutions have a wide range of potential applications, including:

• Generating electricity: New energy solutions can be used to generate electricity to power homes, businesses, and transportation.
• Providing heat and hot water: New energy solutions can be used to provide heat and hot water for homes and businesses.
• Providing transportation fuel: New energy solutions can be used to produce transportation fuels, such as hydrogen and electricity, for cars, trucks, and buses.
• Desalinating water: New energy solutions can be used to desalinate seawater to produce fresh water for drinking, irrigation, and industrial use.
• Creating new materials: New energy solutions can be used to create new materials with properties that are not found in naturally occurring materials.

New energy solutions have the potential to revolutionise the way we generate and use energy. They can help us to reduce our reliance on fossil fuels, combat climate change, and create a more sustainable future.

11. Hyper-automation

The global hyper-automation market size was valued at USD 31.39 billion in 2021 and is anticipated to expand at a compound annual growth rate (CAGR) of 16.5% from 2022 to 2030.

What is hyper-automation?

Hyper-automation is the use of a combination of technologies, including robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML), to automate as many business processes as possible. The goal of hyper-automation is to free up human workers to focus on more strategic and creative tasks, while also improving the efficiency and accuracy of business operations.

What is the future application of hyper-automation?

Hyper-automation has the potential to revolutionise the way businesses operate. Some of the potential future applications of hyper-automation include:

• Customer service: Hyper-automation can be used to automate tasks such as answering customer questions, processing orders, and resolving complaints. This can free up customer service representatives to focus on more complex issues, while also providing customers with a more consistent and efficient experience.
• Finance: Hyper-automation can be used to automate tasks such as processing invoices, reconciling accounts, and preparing reports. This can help to improve the accuracy and efficiency of financial reporting, while also freeing up finance professionals to focus on more strategic tasks.
• Human resources: Hyper-automation can be used to automate tasks such as onboarding new employees, processing payroll, and managing benefits. This can help to improve the efficiency of human resources operations, while also freeing up HR professionals to focus on more strategic tasks such as talent acquisition and employee development.
• IT: Hyper-automation can be used to automate tasks such as managing IT infrastructure, deploying software updates, and responding to security incidents. This can help to improve the security and efficiency of IT operations, while also freeing up IT professionals to focus on more strategic tasks such as developing new IT solutions.
• Manufacturing: Hyper-automation can be used to automate tasks such as production planning, quality control, and inventory management. This can help to improve the efficiency and accuracy of manufacturing operations, while also freeing up manufacturing professionals to focus on more strategic tasks such as product development and innovation.
• Sales: Hyperautomation can be used to automate tasks such as lead generation, qualifying leads, and closing deals. This can help to improve the efficiency of sales operations, while also freeing up sales professionals to focus on more strategic tasks such as building relationships with customers and developing new sales strategies.

These are just a few of the potential future applications of hyper-automation. As technology continues to develop, we can expect to see even more innovative and exciting ways to use hyper-automation in our everyday lives.

12. Extended Reality

The global extended reality market size was exhibited at USD 35.14 billion in 2022 and is projected to hit around USD 345.9 billion by 2030, growing at a CAGR of 33.09% during the forecast period 2022 to 2030.

What is extended reality?

Extended reality (XR) is a collective term for all immersive technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR). XR is intended to combine or mirror the physical world with a "digital twin world" able to interact with it. The fields of virtual reality and augmented reality are rapidly growing and being applied in a wide range of areas such as entertainment, marketing, real estate, training, and remote work.

What are the future applications of extended reality?

XR has the potential to revolutionise the way we work, live, and play. Some of the potential future applications of XR include:

• Education: XR can be used to create immersive learning experiences that allow students to learn in a more engaging and interactive way. For example, students could use XR to explore historical sites, conduct experiments, or learn about different cultures.
• Healthcare: XR can be used to provide remote medical consultations, train surgeons, and deliver rehabilitation therapy. For example, surgeons could use XR to practice complex procedures before performing them on real patients.
• Manufacturing: XR can be used to design products, train employees, and troubleshoot problems. For example, engineers could use XR to design new products in a virtual environment.
• Retail: XR can be used to create virtual shopping experiences, provide customer support, and showcase products. For example, customers could use XR to try on clothes or furniture before buying them.
• Travel: XR can be used to plan trips, explore destinations, and learn about different cultures. For example, travellers could use XR to virtually visit a city before booking a trip.

These are just a few of the potential future applications of extended reality. As technology continues to develop, we can expect to see even more innovative and exciting ways to use XR in our everyday lives.

13. Digital Trust

What is Digital Trust Technology?

Digital trust technology is a broad term that encompasses a variety of technologies that are used to build trust in digital interactions. These technologies can be used to protect data, ensure privacy, and build transparency. Digital trust technology is built on a number of factors, including:

• Security: Digital trust technology can be used to protect data from unauthorized access, use, or disclosure.
• Privacy: Digital trust technology can be used to ensure that personal information is collected and used in a way that is consistent with individual privacy preferences.
• Transparency: Digital trust technology can be used to provide individuals with information about how their data is being used and who has access to it.
• Accountability: Digital trust technology can be used to hold those who misuse data accountable.
  

What are some applications of digital trust technology?

• Encryption: Encryption is a way of scrambling data so that it cannot be read without a key. This is used to protect data in transit and at rest.
• Digital signatures: Digital signatures are used to verify the authenticity of a message or document. This helps to prevent fraud and ensure that letters and documents have not been tampered with.
• Privacy policies: Privacy policies are a way of informing individuals about how their data is being collected and used. This helps to build trust by giving individuals control over their personal information.
• Transparency reports: Transparency reports are a way of disclosing information about how a company is handling data. This helps to build trust by showing that a company is committed to protecting data.
• Accountability mechanisms: Accountability mechanisms are a way of holding companies accountable for how they handle data. This helps to build trust by ensuring that there are consequences for misuse of data.

14. Internet of Things

The enterprise IoT market grew 21.5% to $201 billion in 2022, according to the January 2023 update of IoT Analytics’ Global IoT Enterprise Spending Dashboard. The market grew slightly slower than the 23% forecasted for last year and is expected to grow even slower in 2023.

What is the Internet of Things?

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

The IoT allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. When IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, virtual power plants, smart homes, intelligent transportation and smart cities. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020.

Future Applications of IoTs

The IoT has the potential to revolutionise many industries, including:

• Manufacturing: The IoT can be used to track the movement of goods through the supply chain, optimise production processes, and improve product quality.
• Retail: The IoT can be used to track customer behaviour, personalise shopping experiences, and improve inventory management.
• Healthcare: The IoT can be used to monitor patients remotely, track medical equipment, and improve patient care.
• Transportation: The IoT can be used to improve traffic flow, manage parking, and track the location of vehicles.
• Energy: The IoT can be used to monitor energy usage, optimise energy consumption, and reduce energy costs.
• Agriculture: The IoT can be used to monitor crops, livestock, and soil conditions, and improve crop yields.

The IoT has the potential to make our lives easier, more efficient, and more enjoyable. As technology continues to develop, we can expect to see even more innovative and exciting applications of the IoT in our everyday lives.

15. Flexible Electronics

Flexible electronics are electronic devices that are made from flexible materials, such as plastic or metal foil. This makes them lighter, thinner, and more durable than traditional electronic devices, which are made from rigid materials, such as silicon. Flexible electronics can be bent, rolled, and folded without breaking, making them ideal for applications where traditional electronics would be too fragile, such as wearable devices and medical implants.

What is Flexible Electronics?

Flexible electronics are made from a variety of materials, including:

• Conductive polymers: Conductive polymers are organic materials that can conduct electricity. They are often used to make flexible wires and circuits.
• Metal foils: Metal foils, such as aluminum and copper, are used to make flexible conductors.
• Plastic substrates: Plastic substrates, such as polyethene terephthalate (PET) and polyimide, are used to make flexible printed circuit boards (PCBs).

Flexible electronics are made using a variety of manufacturing processes, including:

• Inkjet printing: Inkjet printing is a process that uses a nozzle to deposit ink onto a substrate. This process can be used to print conductive inks onto flexible substrates to make flexible circuits.
• Screen printing: Screen printing is a process that uses a screen to transfer ink onto a substrate. This process can be used to print conductive inks onto flexible substrates to make flexible circuits.
• Flexible PCB assembly: Flexible PCB assembly is a process that uses a variety of components, including conductive inks, metal foils, and plastic substrates, to make flexible PCBs.

What are the Future Applications of Flexible Electronics?

Flexible electronics have a wide range of potential applications, including:

• Wearable devices: Flexible electronics can be used to make wearable devices, such as smartwatches and fitness trackers.
• Medical implants: Flexible electronics can be used to make medical implants, such as pacemakers and insulin pumps.
• Automotive: Flexible electronics can be used to make automotive components, such as displays and sensors.
• Aerospace: Flexible electronics can be used to make aerospace components, such as solar cells and antennas.
• Consumer electronics: Flexible electronics can be used to make consumer electronics, such as TVs and smartphones.