Many aspects of human life have the potential to be disrupted by the spread of technology, but very few truly stand out as revolutionary technologies. The disruptive possibilities of synthetic biology, nanotechnology, and blockchain will change our lives.
These emerging technologies are already having a major impact on society: artificial organs are saving lives and improving the quality of life for many people with disabilities; self-driving cars are taking over highways today, and 3D printing is revolutionizing manufacturing. These developments can revolutionize the way we live.
Technology That Can Change the World
1. Drones: Changing How We Shop, Deliver Things and Save Lives
E-commerce stores and restaurants can use drones to deliver instant products or foods to customers (Goodchild & Toy, 2018). This can cause a paradigm shift in purchasing and delivering goods without scheduling a trip home from work or buying new appliances with cash on delivery. Traditional delivery of goods and services can be very inconvenient for customers in the 21st century.
Drones can be used to rescue people by sending a drone to deliver supplies and aid to people trapped in disasters (Hii et al., 2019). They can water crops and even use the technology to convert deserts into productive farmland (Michels et al., 2021). Drones can change the world by advancing computers, artificial intelligence, satellite communication, and robotics combined with a new aerodynamic design.
2. Virtual Reality and Augmented Reality: Transforming Education and Healthcare
Simulation-based education has been in use for quite a while, teaching us everything from mastering surgical techniques to understanding the deterioration of nuclear reactors. Virtual reality has been embraced as an emerging tool for patient engagement and medicine delivery (Brajčić & Šitum, 2020).
Augmented Reality (AR) has improved enterprise training, resource efficiency, industrial working systems, and hands-on training with real-world applications and hardware (Westerfield et al., 2013). Augmented reality has thrived to the point where the next generation of children can grow up in a world where Virtual Reality is an everyday human experience.
3. Artificial Intelligence and Machine Learning: Redefining Every Sector
Advanced hardware and development of the new generation of learning algorithms are making it possible to use big data and machine learning to enable intelligent robots, self-driving cars, and drones, as well as innovative approaches to many problems from cancer diagnosis to climate change.
In recent years, computer vision, speech recognition, machine translation, and natural language processing have rapidly progressed (Khan et al., 2018). Automation is now taking place in several industries because of machine learning, from self-driving cars and delivery drones to robots in education and medicine (Zhao et al., 2019; Tussyadiah et al., 2020).
4. 3D Printers: Redefining Manufacturing
Currently, manufacturing is very expensive and often requires a lot of material. A consumer-based 3D printing solution is ideally suited for low-end and common products based on simple geometrical shapes (Khan et al., 2018).
Industrial Revolution can be possible with more advanced 3D printers, which can create complex products faster and cheaper. When the technology matures and costs drop, it will soon be feasible to use and can change the world.
5. Self-Driving Cars: Reducing Road Deaths and Improve Emergency Response
The amount of people killed on roads per year is staggering, with each passing year bringing even more tragedy and death to those who share our roads. Human errors cause 94% of all car accidents (Khandakar et al., 2019). The self-driving cars could reduce this number to less than 1.
Further, it would result in shorter emergency response times, saving thousands of lives per year (Liu et al., 2018). Self-Driving Cars would reduce the time it takes for emergency services to reach those in need. This means they can function independently and make more critical decisions under poor lighting or heavy traffic conditions.
6. Digital Currencies and Blockchain Technology: Enhancing Data Security and Revolutionize Transactions
The implications on personal finances are obvious with digital currencies and blockchain technology’s potential to create decentralized marketplaces that are hassle-free and somehow even more trustworthy than existing centralized institutions such as banks, its implications on how the world can change are much greater. Society can shift from the centralized monetary systems of paper money and coins to decentralized digital currencies and blockchain technology (Chen et al., 2020). Traditionally, these issues include transaction timeliness, security, privacy, and systemic risks.
The potential uses of blockchain technology are endless and could certainly revolutionize transactions. Data security, privacy, and trust are paramount to keeping users’ identities safe while transacting.
7. Bionic and Prosthetic Organ: Equitable Access for All
Bionic Organs can be created to save people who need an organ transplant but have no other options. A bionic organ would be better than a regular human organ because it won’t require the person wearing it to take antirejection pills and will contain sensors that measure the wearer’s health. Artificial organ technologies are typically used to replace the functions of damaged or destroyed organs.
Bionic organs will change how we live with illness and disease because they can be reused and help save lives by letting more people get transplants.
8. Nanotechnology: Treating Disease and Saving Lives
The benefits of nanotechnology are well known, with a broad range of potential applications in everything from cancer treatment to computer power. Nanotechnology has the potential to provide a real alternative to chemotherapy drugs, which are both dangerous and expensive to produce (Singh et al., 2021).
Nanotechnology can target many types of cancer, including lymphoma, prostate, breast, and lung cancer. Nanotechnology has the potential to render many high-end computer systems obsolete because it reduces power consumption, thereby making it much more cost-effective.
9. IoT: Integrating Everything, from Cars to Health Devices to Ships
The Internet of Things (IoT) connects everyone and everything to a network, enabling them to function more efficiently. IoT allows us to electronically manage something previously impossible due to its naturally occurring complexity.
Manual tools and techniques have been used to take care of daily tasks. But with the IoT, all these routine chores have become much easier. We are still at a very early stage of IoT development, and there are boundless possibilities for what it can do.
10. Synthetic Biology: Discovering New Drugs
The emerging field of synthetic biology is on the verge of generating synthetic fuels, commercial vaccines, and new medicines using microbes. In addition to potential health benefits for humans and animals, synthetic biology has the power to offer solutions to a variety of environmental problems.
Natural drugs are being discovered in the rainforests and oceans, but these resources are depleted rapidly due to commercial interests. With the development of synthetic biology, inexpensive manufacturing will allow us to manufacture new drugs in a lab setting that would contain fewer chemicals and be less susceptible to contamination (Pokharel & Fang, 2014). New synthetic microbes could be designed specifically for this purpose based on single-cell organisms that can consume organic waste and convert it into energy.
The world faces many challenges in the early 21st century, essential to will be an essential part of our future. The technologies that we can implement today will shape the future of humanity. Technology is making breakthroughs in all fields, from medicine to social media. The world can be changed for the better if it is utilized properly. If we start using technology in our everyday lives and make that a priority, then we will be able to learn and understand technology better. Technology can help us to solve problems, but it cannot do that without help from the human race by putting it into proper use.
- Brajčić, H., & Šitum, M. (2020). Virtual Reality in Medicine. Knj. 50–51(2020), 543(50–51), 39–43. https://doi.org/10.21857/yq32oh2jn9
- Textile Detailsa, M. H. (2021, November 13). The application of smart textiles has changed the world! Textile Details. https://textiledetails.com/application-of-smart-textiles/
- Chen, Y., Chen, H., Han, M., Liu, B., Chen, Q., & Ren, T. (2020). A Novel Computing Power Allocation Algorithm for Blockchain System in Multiple Mining Pools Under Withholding Attack. IEEE Access, 8, 155630–155644. https://doi.org/10.1109/access.2020.3017716
- Goodchild, A., & Toy, J. (2018). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO 2 emissions in the delivery service industry. Transportation Research Part D: Transport and Environment, 61, 58–67. https://doi.org/10.1016/j.trd.2017.02.017
- Gramlich, M. A., Smolenski, D. J., Norr, A. M., Rothbaum, B. O., Rizzo, A. A., Andrasik, F., Fantelli, E., & Reger, G. M. (2021). Psychophysiology during exposure to trauma memories: Comparative effects of virtual reality and imaginal exposure for posttraumatic stress disorder. Depression and Anxiety, 38(6), 626–638. https://doi.org/10.1002/da.23141
- Guerrieri, M. (2021). Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies. A Case Study in the Trans-European Transport Network. International Journal of Intelligent Transportation Systems Research, 19(2), 429–440. https://doi.org/10.1007/s13177-021-00255-4
- Herath, H. M. K. K. M. B., & de Mel, W. (2021). Controlling an Anatomical Robot Hand Using the Brain-Computer Interface Based on Motor Imagery. Advances in Human-Computer Interaction, 2021, 1–15. https://doi.org/10.1155/2021/5515759
- Hii, M., Courtney, P., & Royall, P. (2019). An Evaluation of the Delivery of Medicines Using Drones. Drones, 3(3), 52. https://doi.org/10.3390/drones3030052
- Khan, U., Safari, P., & Hernando, J. (2018). Restricted Boltzmann Machine Vectors for Speaker Clustering. IberSPEECH 2018. https://doi.org/10.21437/iberspeech.2018-3
- Khandakar, A., Chowdhury, M. E., Ahmed, R., Dhib, A., Mohammed, M., Al-Emadi, N. A. M. A., & Michelson, D. (2019). Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving. Sensors, 19(7), 1563. https://doi.org/10.3390/s19071563
- Liu, P., Yang, R., & Xu, Z. (2018). How Safe Is Safe Enough for Self-Driving Vehicles? Risk Analysis, 39(2), 315–325. https://doi.org/10.1111/risa.13116
- Michels, M., von Hobe, C. F., Weller Von Ahlefeld, P. J., & Musshoff, O. (2021). The adoption of drones in German agriculture: a structural equation model. Precision Agriculture, 22(6), 1728–1748. https://doi.org/10.1007/s11119-021-09809-8
- Nakajima, S., Shinya, M., Yuasa, T., & Shiraishi, M. (2015). [Paper] An Optimal Model Subdivision Method for 3D FDM Printers. ITE Transactions on Media Technology and Applications, 3(1), 40–46. https://doi.org/10.3169/mta.3.40
- Ong, T., Wilczewski, H., Soni, H., Nisbet, Q., Paige, S. R., Barrera, J. F., Welch, B. M., & Bunnell, B. E. (2022). The Symbiosis of Virtual Reality Exposure Therapy and Telemental Health: A Review. Frontiers in Virtual Reality, 3. https://doi.org/10.3389/frvir.2022.848066
- Pokharel, D., & Fang, S. (2014). A Highly Convenient Procedure for Oligodeoxynucleotide Purification. The Open Organic Chemistry Journal, 8(1), 15–18. https://doi.org/10.2174/1874095201408010015
- Singh, A. V., Chandrasekar, V., Janapareddy, P., Mathews, D. E., Laux, P., Luch, A., Yang, Y., Garcia-Canibano, B., Balakrishnan, S., Abinahed, J., al Ansari, A., & Dakua, S. P. (2021). Emerging Application of Nanorobotics and Artificial Intelligence To Cross the BBB: Advances in Design, Controlled Maneuvering, and Targeting of the Barriers. ACS Chemical Neuroscience, 12(11), 1835–1853. https://doi.org/10.1021/acschemneuro.1c00087
- Tussyadiah, I. P., Zach, F. J., & Wang, J. (2020). Do travelers trust intelligent service robots? Annals of Tourism Research, 81, 102886. https://doi.org/10.1016/j.annals.2020.102886
- Westerfield, G., Mitrovic, A., & Billinghurst, M. (2013). Intelligent Augmented Reality Training for Assembly Tasks. Lecture Notes in Computer Science, 542–551. https://doi.org/10.1007/978-3-642-39112-5_55
- Zhao, X., Osborne, M., Lantair, J., Robu, V., Flynn, D., Huang, X., Fisher, M., Papacchini, F., & Ferrando, A. (2019). Towards Integrating Formal Verification of Autonomous Robots with Battery Prognostics and Health Management. Software Engineering and Formal Methods, 105–124. https://doi.org/10.1007/978-3-030-30446-1_6