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Tech

Technology, commonly abbreviated as tech, is the practical application of scientific , especially in or , to achieve specific practical goals, create tools, systems, and processes that solve problems and enhance capabilities. This encompasses not only physical devices and machinery but also methods and techniques for accomplishing tasks, such as storage or educational systems. In a broader sense, represents the systematic application of organized to practical tasks, distinguishing through the creation of artifacts that modify the environment and address needs. The traces back to prehistoric times with the development of simple tools like stone implements, evolving through major periods such as the , , and the digital age, where innovations have profoundly shaped societies, economies, and daily life. Key milestones include the shift to science-based technologies around 1900, post-World War II advancements in and , and the rapid acceleration of in the late 20th and 21st centuries, enabling global connectivity and . The field has formalized academically since the , with organizations like the Society for the History of Technology promoting study of its societal implications, including environmental effects and contributions from diverse groups. Technology's impact is dual-edged, driving progress while posing challenges. On the positive side, technologies have connected over two-thirds of the world's as of 2025, with more than 5.5 billion users, boosted , improved healthcare through diagnostics, and expanded via virtual platforms, potentially creating over 30 million green jobs by 2030, including from . Conversely, they exacerbate inequalities—such as the approximately 7% global in use as of 2025, which is wider in at around 25%—and threaten job displacement, with and potentially displacing or transforming up to 30% of jobs globally by 2030, though net job creation is projected in many sectors, alongside erosion and spread. Overall, technology continues to evolve, influenced by both scientific discovery ("technology push") and societal needs ("mission pull"), as exemplified by space agencies advancing innovations for and everyday applications.

Definition and Scope

Core Definition

Technology is defined as the systematic application of organized to practical tasks, encompassing tools, processes, systems, and methods designed to solve problems or achieve specific goals. This includes the creation of artifacts that extend capabilities, from simple implements to complex infrastructures, emphasizing utility and efficiency over theoretical exploration. The term "" originates from the Greek words technē (art, skill, or craft) and (study or discourse), forming technologia to denote the systematic treatment of an art or craft. The concept traces back to , where employed a form of the term in his Rhetoric to describe the organized study of productive knowledge, though its modern connotation as applied industrial arts emerged in the . While closely related, technology differs fundamentally from science: science seeks to discover and explain natural phenomena through observation and theory-building, whereas technology focuses on the invention, design, and application of solutions to real-world needs. For instance, scientific inquiry into physics might uncover principles of motion, but technology applies those principles to engineer devices like machines. This distinction highlights technology's practical, activity-oriented nature, often embedded in social and economic contexts rather than pure knowledge generation. Foundational technological artifacts illustrate this applied essence, such as the wheel, which revolutionized by enabling rotational motion for carts and machinery; the lever, a that amplifies force for lifting and balancing; and fire control, which allowed humans to harness for cooking, warmth, and tool-making, fundamentally altering survival strategies. These early innovations demonstrate technology's role in amplifying human physical and cognitive abilities from .

Classification Systems

Technology classification systems provide structured frameworks to organize the diverse array of technological developments, enabling analysis of their functions, applications, and impacts across domains. These systems typically categorize technologies based on key attributes such as sector, , and purpose, facilitating comparisons in economic, innovative, and contexts. For instance, sectoral classifications group technologies by their primary field of application, while scale-based schemes differentiate between microscopic innovations like and macroscopic infrastructure projects. Such frameworks underscore technology's breadth, from tangible hardware to systemic processes, without overlapping into specific branch details. Major classification schemes include those organized by sector, scale, and purpose. Sectoral approaches, such as the World Intellectual Property Organization's (WIPO) technology classification derived from International Patent Classification (IPC) codes, divide technologies into 35 fields across five broad areas: (e.g., ), instruments (e.g., ), (e.g., pharmaceuticals), (e.g., engines), and other fields (e.g., ). This system ensures comprehensive coverage of patentable inventions for cross-country technological comparisons, with balanced field sizes to avoid skewing analyses. Similarly, the OECD's high-technology sector classification, based on R&D intensity, groups manufacturing into high-tech (e.g., , ), medium-high-tech (e.g., electrical machinery, vehicles), medium-low-tech (e.g., rubber products), and low-tech (e.g., textiles) categories, using ISIC Rev. 2 codes to measure innovation intensity across 22 sectors. Scale-based classifications distinguish micro-scale technologies, such as and operating at the atomic or molecular level, from macro-scale ones like structures spanning kilometers, highlighting differences in design challenges and integration requirements. Purpose-oriented schemes, such as Baumol's framework, contrast productive technologies, which enhance efficiency and output (e.g., industrial automation), with unproductive () or destructive ones (harmful, such as certain weapons systems), applied to entrepreneurial activities that can create, extract, or destroy value. Thomas Kuhn's concept of paradigm shifts, originally from scientific revolutions, has been adapted to technology classification to explain evolutionary patterns in . In technological contexts, paradigms represent dominant designs and epistemic frameworks guiding incremental progress until anomalies prompt shifts to new models, such as the transition from analog to digital electronics. This approach influences classifications by emphasizing path dependency and punctuated change, where technologies evolve within established paradigms before revolutionary disruptions redefine categories. Within this, hard technologies are classified as tangible, hardware-based artifacts (e.g., machinery, devices) that operate autonomously once deployed, while soft technologies encompass intangible, human-mediated elements like software, processes, and systems requiring ongoing . The shift from hard to soft technologies reflects broader trends in global , where soft elements increasingly drive value through skills and integration. International standards, particularly the International Organization for Standardization's (ISO) International Classification for Standards (), provide a hierarchical framework for technology sectors. The comprises three levels: 40 top-level fields (e.g., 29 , 25 ), 392 groups (e.g., 29.120 Electrical Accessories), and 909 subgroups (e.g., 29.120.10 Conduits for Electrical Purposes), covering all standardization activities from to . Updated in 2016 to incorporate emerging fields like digital technologies, it ensures global consistency in classifying standards across economic sectors. This system supports and policy-making by mapping technologies to industrial applications without favoring specific innovations. Classification criteria often revolve around novelty, complexity, and societal integration to assess a 's maturity and impact. Novelty evaluates whether a introduces unprecedented capabilities, distinguishing emerging (e.g., prototypes) from established ones based on novelty and diffusion rates. Complexity measures the intricacy of components and interactions, with high-complexity technologies like integrated circuits requiring advanced R&D, as quantified in OECD's R&D intensity metrics where high-tech sectors exceed 5% R&D-to-value-added ratios. Societal integration assesses how seamlessly a embeds into , economic, and ethical structures, considering barriers and benefits, such as through balanced field coverage in WIPO's IPC-based system to reflect real-world technological structures. These criteria ensure classifications remain dynamic, prioritizing verifiable metrics over subjective judgments.

Historical Development

Prehistoric and Ancient Innovations

The earliest evidence of human technological innovation dates to the era, with the development of stone s that marked a pivotal shift in survival strategies. The industry, characterized by simple choppers and flakes produced by striking stones together, emerged approximately 2.6 million years ago in , enabling early hominins to access meat and marrow more efficiently through scavenging and basic butchery. These rudimentary implements represented empirical problem-solving based on trial and observation, without reliance on systematic scientific principles. Subsequent advancements led to the industry around 1.6 million years ago, featuring symmetrical bifacial hand axes crafted from larger stone cores, which improved cutting and scraping capabilities for processing hides, wood, and plants. tools, often pear-shaped and weighing up to several kilograms, demonstrated enhanced planning and dexterity, spreading across , , and over a million years. The , beginning around 10,000 BCE in the , transformed human societies through the domestication of plants such as and , and animals including , sheep, and , fostering settled and surplus food production. This shift from lifestyles to farming relied on empirical innovations like and , which increased food reliability and supported from sparse bands to denser communities numbering in the thousands. By enabling permanent settlements, these developments laid the groundwork for social complexity, as agricultural yields allowed specialization beyond subsistence tasks. In ancient civilizations, engineering feats further exemplified practical ingenuity driven by necessity. The Egyptian pyramids, constructed around 2600 BCE during , such as the of , involved precise quarrying, transportation, and stacking of millions of limestone blocks using ramps and levers, symbolizing pharaonic power and astronomical alignment. In Mesopotamia, systems from the period (circa 4000–2000 BCE) channeled and floodwaters via canals and levees, boosting crop productivity in arid regions and sustaining urban centers like . Greek innovations included aqueducts, such as those built in by the 6th century BCE, which conveyed water over distances using gravity-fed conduits of stone and clay, minimizing and . A notable device was the , invented around 287–212 BCE, consisting of a helical blade within a wooden cylinder rotated to lift water for or , revolutionizing fluid handling in Hellenistic . These pre-industrial technologies, grounded in , directly contributed to exponential population expansion by enhancing resource availability and societal organization.

Industrial and Modern Advancements

The , commencing in around 1760 and extending through the early , marked a profound transformation from agrarian economies to industrialized societies driven by mechanization and power. Central to this era was the refinement of the by , who patented an improved version with a separate in , dramatically increasing efficiency for pumping water from mines and powering machinery, factories, and locomotives. This innovation facilitated the growth of urban centers, expanded global trade via steamships and railways, and shifted labor from farms to factories, laying the foundation for and modern capitalism. The late 19th century saw the rise of electrical technologies, with developing the first practical in 1879 through iterative filament testing, enabling widespread indoor illumination and extending productive hours in homes and workplaces. Complementing this, Nikola Tesla's advancements in () systems, patented in 1888, allowed efficient long-distance , powering the of cities and industries in a "War of Currents" against Edison's direct current (DC). These developments spurred the Second Industrial Revolution, incorporating steel production, chemicals, and automobiles. Mass production techniques advanced in the early 20th century, exemplified by Henry Ford's introduction of the moving assembly line in October 1913 at his Highland Park plant in Michigan, which reduced Model T production time from 12 hours to about 90 minutes, making automobiles affordable and revolutionizing manufacturing worldwide. Concurrently, aviation emerged with the Wright brothers' first powered, controlled flight on December 17, 1903, at Kitty Hawk, North Carolina, using their self-propelled Wright Flyer, which covered 120 feet and paved the way for commercial and military air travel. The mid-20th century brought electronic computing, with (Electronic Numerical Integrator and Computer), developed by and starting in 1943 and completed in 1945 at the , becoming the first general-purpose electronic digital computer for ballistic calculations during . This was followed by the invention of the in December 1947 by , Walter Brattain, and at Bell Laboratories, a that replaced bulky vacuum tubes, enabling smaller, more reliable and fueling the growth of consumer devices like radios and televisions. Networking innovations culminated in , the precursor to the , with its first connection established in September 1969 between UCLA and the Stanford Research Institute, funded by the U.S. Department of Defense's Advanced Research Projects Agency (), facilitating packet-switched across research institutions. These modern advancements accelerated information processing, global connectivity, and , profoundly influencing post-World War II economies and daily life.

Major Branches

Information and Communication Technology

Information and Communication Technology (ICT) encompasses the technologies that facilitate the creation, processing, storage, and exchange of information through electronic means, forming the backbone of the digital era. At its core, ICT integrates hardware components such as central processing units (CPUs) for computation and memory systems for data retention, which enable the physical execution of digital operations. Software elements, including algorithms for problem-solving and operating systems (OS) for resource management, provide the logical framework to direct these hardware resources efficiently. Networks, exemplified by the Transmission Control Protocol/Internet Protocol (TCP/IP) suite first proposed in 1974 by Vinton Cerf and Robert Kahn, allow for the interconnection and data transmission across devices. These components collectively support the manipulation and flow of digital data in binary form, where information is represented using only two states—0 and 1—corresponding to the off and on states of electronic switches in computing hardware. The evolution of traces from large-scale mainframe computers, which dominated early computing for centralized in the mid-20th century, to the advent of personal computers that democratized to computational power. A pivotal milestone was the release of the Personal Computer (Model 5150) in 1981, which standardized hardware architecture and spurred widespread adoption of personal computing. This shift was further accelerated by mobile devices, such as the first introduced by Apple in 2007, which integrated computing, communication, and multimedia capabilities into portable form factors. Underpinning this progression is , articulated by in 1965, which observed that the number of transistors on an —key to CPU performance—doubles approximately every two years, driving exponential improvements in processing speed and cost reduction. Key applications of span for and , for voice and video exchange, and the as a global network infrastructure. The (WWW), invented by in 1989 while at , revolutionized information access by enabling hypertext-linked documents over TCP/IP networks, transforming how knowledge is shared and retrieved worldwide. Early innovations like the computer in 1945 laid foundational groundwork for programmable electronic computation, influencing subsequent ICT developments. Overall, ICT's emphasis on efficient data handling has enabled scalable systems that support diverse sectors, from business operations to scientific research.

Materials and Engineering Technology

Materials and engineering technology encompasses the development and application of physical materials and systems to create structures, devices, and processes that enable , , and utilization. This field integrates , which studies the properties and performance of substances like metals, polymers, and composites, with engineering disciplines such as civil, , and to design robust systems under various loads and environmental conditions. Advances in this area have driven growth, from bridges to engines, by leveraging principles like stress-strain relationships and basic to ensure and . In , metals have been foundational, with the revolutionizing production in 1856 by enabling mass manufacturing of high-quality through air-blown conversion of , reducing costs and impurities for widespread use in and machinery. Polymers emerged as versatile synthetic materials, beginning with the invention of in 1907 by , the first fully synthetic plastic thermosetting resin made from phenol and , which provided heat resistance and electrical insulation for early electrical components and consumer goods. Composites, combining materials like fibers embedded in a matrix, build on ancient techniques such as straw-reinforced but advanced significantly in the with fiber-reinforced polymers in the 1930s, offering superior strength-to-weight ratios for and automotive applications. Civil engineering applies these materials to large-scale structures, exemplified by the , completed in 2010 as the world's tallest building at 828 meters, utilizing high-strength and a system to withstand wind and seismic forces through innovative piled foundations and outrigger trusses. focuses on engines and robotics, where internal combustion engines evolved from 19th-century designs to power modern vehicles, guided by thermodynamic principles like the proposed in 1824 by Sadi Carnot, which defines the maximum efficiency of heat engines as \eta = 1 - \frac{T_c}{T_h}, where T_h and T_c are the absolute temperatures of the hot and cold reservoirs, respectively, establishing limits for energy conversion in piston-based systems. \eta = 1 - \frac{T_c}{T_h} Robotics in mechanical engineering advanced with the deployment of the Unimate arm in 1961 by General Motors, the first industrial robot for automated welding and material handling, enhancing precision and productivity in manufacturing lines. Chemical engineering contributes through processes like plastics production, expanding from Bakelite to diverse thermoplastics that enable lightweight, corrosion-resistant components in pipelines and packaging. Key innovations include additive manufacturing, or , pioneered in the 1980s by Chuck Hull's invention of in 1983, which layers liquid cured by UV to fabricate complex prototypes, transforming custom part production across industries. In renewable energy technology, solar panels rely on the discovered in 1839 by Alexandre-Edmond , where light generates electron flow in materials, enabling efficient conversion of sunlight to in modern silicon-based cells. Fundamental principles underpin these technologies, such as the stress-strain relationship in materials, where \sigma is linearly proportional to \epsilon within the elastic limit according to , \sigma = E \epsilon, with E as the , allowing engineers to predict deformation and failure in structures like beams and composites. \sigma = E \epsilon Basic for engines, rooted in the , ensures optimal energy extraction while minimizing waste heat, influencing designs from steam engines during the Industrial Revolution's factory expansions to contemporary efficient turbines.

Societal and Economic Impacts

Benefits to Society

Technology has profoundly enhanced societal well-being across multiple domains, including , , , and poverty alleviation, by improving access, efficiency, and outcomes for billions worldwide. In , advancements have extended lifespans and reduced burdens; in , they have democratized ; economically, they have driven through gains; environmentally, they have mitigated impacts; and globally, they have empowered marginalized communities with financial tools. In the realm of health, technological innovations have revolutionized disease prevention and diagnostics. The development of the by in 1796 marked a pivotal advancement, demonstrating that inoculation with could confer immunity to the deadly , ultimately leading to its global eradication in 1980. Similarly, (MRI), pioneered in the early 1970s by and through the application of magnetic field gradients and echo-planar techniques, has enabled non-invasive visualization of internal body structures, aiding in the early detection of conditions like tumors and strokes without radiation exposure. Telemedicine, which emerged in the mid-20th century but expanded significantly with digital communication in the , allows remote consultations and monitoring, improving access to care for rural and underserved populations while reducing travel burdens and healthcare costs. Education has benefited immensely from technology's ability to broaden access to learning resources. E-learning platforms, such as those offering interactive courses and classrooms, have made high-quality education available to non-traditional students, including working adults and those in remote areas, by providing flexible, self-paced that accommodates diverse schedules and reduces geographical barriers. The further amplifies this by granting global access to vast repositories of information, enabling learners worldwide to explore topics from scientific research to cultural histories instantaneously, thereby fostering and bridging educational divides between developed and developing regions. Economically, automation technologies have boosted productivity and contributed to sustained GDP growth, particularly following the . Since the late , mechanized processes in and have exponentially increased output per worker, with historical data showing correlations between adoption and annual GDP rises of up to 2-3% in industrialized nations during the 19th and 20th centuries, laying the foundation for modern economic expansion. Environmental technologies have played a crucial role in mitigating human impact on the planet. Wind turbines, whose modern large-scale adoption began in the early 1980s with installations in driven by federal incentives, generate clean electricity without combustion, significantly reducing ; for instance, global wind capacity has since grown to over 1,170 gigawatts as of 2025, displacing millions of tons of CO2 annually compared to coal-based power. On a global scale, technology has aided , exemplified by services in . Launched in in 2007, enabled millions to conduct financial transactions via basic mobile phones, increasing household consumption by about 5% and lifting nearly 2% of the —around 194,000 households—out of by 2014 through easier remittances, savings, and access to in unbanked rural areas.

Challenges and Risks

Technology presents numerous challenges and risks that span privacy, environmental sustainability, social equity, ethical dilemmas, and regulatory frameworks. These issues arise from the rapid proliferation of digital systems, resource-intensive production processes, and the integration of advanced tools like artificial intelligence (AI) into daily life and governance. Addressing these requires balancing innovation with safeguards to mitigate harm. Privacy and security vulnerabilities remain a core concern in technological ecosystems. The 2017 Equifax data breach exposed sensitive personal information, including Social Security numbers and credit histories, of approximately 147 million individuals due to unpatched software vulnerabilities, leading to widespread identity theft risks and a $575 million settlement by the U.S. Federal Trade Commission. Surveillance technologies exacerbate these risks by enabling mass data collection without adequate consent, posing threats to intellectual privacy and increasing susceptibility to coercion or blackmail. Public surveys indicate that a majority of Americans perceive personal data as less secure amid rising surveillance, with data collection often viewed as carrying more risks than benefits. Environmental impacts from technology production and disposal contribute significantly to global ecological strain. Electronic waste generation reached a record 62 million tonnes in 2022, equivalent to the weight of 800,000 humpback whales, with only 22.3% formally recycled, leading to hazardous leaks of toxins like lead and mercury into soil and water systems. Mining for rare earth elements, essential for electronics and renewable energy devices, depletes non-renewable resources and generates toxic tailings; for instance, processing one ton of rare earths can produce up to 2,000 tons of toxic waste, including around 75 tons of contaminated wastewater with acids and heavy metals, causing long-term soil and aquatic pollution in regions like China and Myanmar. Social challenges amplify inequalities through uneven access and behavioral dependencies. The digital divide persists, with an estimated 2.2 billion people—about 27% of the global population—remaining offline as of 2025, particularly in low-income countries where penetration is below 30%, hindering , economic opportunities, and civic participation. Excessive device use has also fueled concerns over technology addiction, characterized by compulsive behaviors toward and gaming that impair psychological well-being; the discusses these patterns as potentially involving behavioral components similar to addictions, with studies linking prolonged to neurological changes and . Ethical concerns in technology, particularly AI, include systemic biases and the weaponization of tools. AI systems often perpetuate discrimination when trained on skewed datasets, as evidenced in recruitment algorithms that disadvantage women and minorities due to historical hiring biases embedded in training data. The deployment of weaponized drones in warfare since the early 2000s has raised moral hazards, lowering the threshold for lethal force and increasing civilian casualties through remote operations that distance decision-makers from consequences, with ethical analyses highlighting violations of international humanitarian law principles like proportionality. Regulatory gaps further compound these risks, especially in post-2020 AI ethics debates. In the European Union, the AI Act of 2024, which entered into force on August 1, 2024, with full applicability by August 2, 2026, aims to classify and mitigate high-risk AI applications but faces criticism for incomplete enforcement mechanisms and delays in addressing emerging biases in generative models. Similarly, U.S. approaches rely on sector-specific guidelines rather than comprehensive legislation, creating inconsistencies in oversight for AI-driven surveillance and bias mitigation, as noted in congressional reports urging harmonized federal standards. These fragmented frameworks underscore the need for international coordination to close loopholes in ethical governance, with ongoing developments as of 2025 including phased implementation of the EU AI Act and calls for U.S. federal AI policy harmonization.

Innovation and Future Directions

Processes of Technological Innovation

Technological innovation follows a structured yet dynamic process that transforms ideas into practical applications, encompassing stages from initial research to widespread adoption. The primary stages include research and development (R&D), where scientific inquiry and experimentation generate foundational knowledge; prototyping, which creates tangible models to validate concepts; and testing, involving iterative evaluation for functionality, safety, and scalability. These stages culminate in diffusion, the process by which innovations spread through societies and markets, as outlined by Everett Rogers in his seminal 1962 book Diffusion of Innovations. Rogers' model describes adoption as progressing along a curve, with innovators (2.5% of the population) leading, followed by early adopters (13.5%), the early majority (34%), late majority (34%), and laggards (16%), influenced by factors such as relative advantage, compatibility, and observability. Two prominent models frame these processes: the and the interactive model. The , articulated by in his 1945 report Science, the Endless Frontier, envisions as a unidirectional sequence from to applied research, , production, and market diffusion, emphasizing the role of government-funded in driving progress. In contrast, the interactive model, proposed by Stephen J. Kline and Nathan in their 1986 paper "An Overview of ," portrays as a chain-linked system with bidirectional loops between , testing, and production, allowing for adjustments based on market needs and technical challenges. This interactive approach better accounts for the non-sequential nature of modern , where problems in later stages often loop back to refine earlier ones. Key drivers propel these processes forward, including protections, financial , and collaborative platforms. Patents serve as a cornerstone by granting exclusive rights to inventors, fostering investment in novel technologies; the issued its first patent in 1790 to Samuel Hopkins for a potash production method under the Patent Act of 1790. plays a critical role by funding high-risk R&D and scaling efforts in startups, enabling breakthroughs in sectors like and software, though it is selective and often prioritizes scalable technologies. Open-source collaboration accelerates diffusion through community-driven development; , launched in 2008, has hosted over 630 million repositories as of 2025, democratizing code sharing and enabling rapid iteration on projects like and . Innovation processes are measured through various indices and indicators that gauge efficiency and outcomes. The (GII), published annually by the (WIPO) since 2007, evaluates 139 economies using 78 indicators across inputs like R&D expenditure and outputs such as patents and high-tech exports, with consistently ranking first for its robust . Despite these drivers, the processes carry high risks, evidenced by startup failure rates of approximately 90%, primarily due to market misalignment, funding shortages, and execution challenges, as analyzed in longitudinal studies of entrepreneurial ventures. For instance, the steam engine's innovation in the 18th century traversed these stages, from James Watt's R&D improvements to widespread industrial diffusion.

Emerging Technologies

Emerging technologies in the field of tech encompass innovations that leverage advanced computational paradigms, , and to address complex global challenges. These developments, building on foundational processes of such as iterative and interdisciplinary , are expected to drive transformative changes across industries by the mid-2020s and beyond. Key areas include advancements in , quantum systems, , and solutions, often converging to amplify their impact. Artificial intelligence and machine learning have advanced significantly through neural networks, which are computational models inspired by the human brain's structure, consisting of interconnected nodes organized in layers to process data and identify patterns. These networks enable applications such as autonomous vehicles, exemplified by Tesla's system introduced in 2014, which uses cameras, , and ultrasonic sensors to allow the vehicle to steer within lanes, change lanes, and adapt speed to traffic conditions. Neural networks power these systems by analyzing real-time sensor data to make predictive decisions, enhancing vehicle safety and efficiency. Quantum computing represents a paradigm shift from classical computing, where traditional bits represent either 0 or 1, to qubits that exploit and entanglement to exist in multiple states simultaneously, enabling exponentially faster processing for certain problems. This capability holds potential to disrupt , as quantum algorithms like Shor's could efficiently factor and break widely used methods such as . A landmark demonstration occurred in 2019 with Google's , a 53-qubit superconducting quantum computer that performed a specific random circuit sampling task in 200 seconds—a computation estimated to take the world's fastest 10,000 years. In biotechnology, CRISPR-Cas9 gene editing, discovered in 2012, allows precise modification of DNA sequences using a guide RNA to direct the Cas9 enzyme to specific genomic locations for cutting and repair. This tool has revolutionized personalized medicine by enabling tailored treatments based on an individual's genetic profile, such as customizing therapies for cancer or genetic disorders to improve efficacy and reduce side effects. For instance, CRISPR facilitates the development of patient-specific drugs by editing disease-causing mutations, shifting from one-size-fits-all approaches to precision interventions. Sustainability technologies are advancing to combat climate change, with direct air capture (DAC) emerging as a method to extract CO2 directly from the atmosphere using chemical sorbents or solvents, independent of emission sources. In the 2020s, pilot projects have scaled up, such as Climeworks' Orca plant in Iceland operational since 2021, capturing up to 4,000 tons of CO2 annually, and subsequent facilities demonstrating modular deployment for broader adoption. Complementing this, fusion energy research through the ITER project, initiated in 2006 as an international collaboration, aims to demonstrate net energy gain from deuterium-tritium fusion reactions in a tokamak reactor, potentially providing a clean, limitless energy source. Trends in emerging technologies highlight the convergence of (IoT) devices with , creating intelligent ecosystems where IoT sensors collect vast data streams that algorithms analyze in real-time for and , as seen in . This integration enhances efficiency across sectors like healthcare and energy by enabling proactive decision-making. Addressing ethical concerns, frameworks such as the EU Act, which entered into force on August 1, 2024, classify systems by risk levels and impose regulations on high-risk applications to ensure transparency, accountability, and human oversight.

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