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Automatic

Automatic may refer to:

Music

Bands and Artists

is an American trio formed in 2017 in , . The band comprises Izzy Glaudini on synthesizers and vocals, Halle Saxon on bass and vocals, and Lola Dompé on drums and vocals, all of whom met in the city's DIY music scene. Known for their synth-driven sound blending with elements, Automatic's music has evolved from raw, urgent rhythms in their early releases to more polished dystopian grooves emphasizing atmospheric tension and infectious hooks. Their third studio album, Is It Now?, released on September 26, 2025, via , exemplifies this progression with standout tracks like "" and "Lazy." The Automatic is a Welsh alternative rock band formed in 2005 in Cowbridge, near Cardiff. Emerging from the UK's indie scene, the group—originally including members like Paul Mullen on vocals and guitar, Alex Pennie on keyboards and vocals, and others—gained attention for their energetic mix of rock, new wave, and electronic influences, characterized by rapid-fire lyrics and keyboard-heavy arrangements. Their second album, This Is a Fix, released in 2008 and produced by Butch Walker, marked a shift toward more mature songwriting while retaining their pop-punk edge.

Albums

"" is the third studio by Scottish band , released on October 9, 1989, by . Produced by band member , the incorporates psychedelic and elements, marking a shift toward a more pop-oriented sound while retaining the band's signature noisy feedback. It received positive critical reception over time, with reviewer Ned Raggett praising it as the point where the band "truly started to hit their stride as far as the pop side of their sound goes," earning a rating of 7.8 out of 10. The sold approximately 60,000 copies worldwide. R.E.M.'s "Automatic for the People," their eighth studio , was released on October 6, 1992, by Warner Bros. Records. The record, featuring orchestral arrangements and introspective lyrics, includes hit singles "" and "." Produced by and the band, it earned Grammy nominations for Album of the Year and Best Pop Performance by a Duo or Group with Vocal for "." Critics lauded its emotional depth and maturity, with the album debuting at No. 2 on the and achieving sales of over 18 million copies worldwide.

Songs

"Automatic" is a song by the American vocal group , released in 1983 as the second single from their tenth studio Break Out. Written by Brock Walsh and , the track blends R&B and pop elements with influences, featuring synthesizer-driven production that contributed to the group's shift toward dance-oriented music. It peaked at No. 5 on the chart in April 1984, marking a commercial breakthrough and helping Break Out achieve multi-platinum status. The song's lyrics evoke themes of irresistible attraction, with a notable chorus line: "Look what you're doing to me / I'm utterly at your ." Its cultural endures as a staple of electro-pop, influencing subsequent synth-heavy R&B tracks and earning a Grammy nomination for Best Vocal Arrangement for Two or More Voices in 1985. Another prominent recording is "" by artist , released in February 2014 as the lead single from her fifth studio album . Co-written by Lambert with and Nicolle Galyon, the song is a nostalgic reflecting on simpler times before technology dominated daily life, characterized by and heartfelt storytelling. It reached No. 4 on the chart and No. 41 on the Hot 100, driving to the top of the Top Country Albums chart. The track won the Award for Song of the Year in , highlighting Lambert's songwriting prowess and resonating with audiences for its critique of modern disconnection. A key lyric excerpt captures its essence: "Yeah, we were / ." This song solidified Lambert's status as a leading female voice in music during the .

Technology

Computing and Software

Automatic processes in computing and software encompass algorithms and techniques that enable machines to perform complex tasks with minimal human intervention, revolutionizing fields like and . These methods rely on mathematical and programmatic foundations to automate computations, optimizations, and generations, often leveraging advancements in since the mid-20th century. Key developments include for gradient computations, systems for audio-to-text conversion, and tools powered by large language models, all of which integrate historical algorithmic innovations with contemporary AI ethics considerations. Automatic differentiation (AD) is a computational technique that efficiently calculates exact derivatives of functions defined by computer programs, distinct from numerical or symbolic by avoiding approximation errors and . Its origins trace back to the , with seminal work by R. E. Wengert in 1964 introducing forward-mode AD for evaluating partial derivatives of algebraic functions. In , AD underpins gradient-based optimization, enabling frameworks like and to automate for training neural networks. For instance, PyTorch's Autograd engine computes gradients dynamically during model training, facilitating efficient workflows. Modern implementations, widespread since the 2000s, support reverse-mode AD, which is particularly efficient for high-dimensional problems common in . Automatic speech recognition (ASR) systems convert spoken language into text using probabilistic models and deep neural networks, marking a progression from rule-based approaches to end-to-end learning. The field began in 1952 with ' "" system, which recognized spoken digits with limited accuracy, evolving through the 1970s introduction of Hidden Markov Models (HMMs) for sequential pattern modeling. By the 2010s, shifted paradigms, with Google's transition to neural networks improving robustness; as of 2025, real-time models achieve word error rates (WER) below 5% for English, equating to over 95% accuracy in clean conditions. These advancements enable applications in virtual assistants and transcription, though challenges persist in noisy environments and diverse accents. Automatic tools automate by suggesting or producing code snippets from prompts, drawing on historical concepts. Early efforts emerged in the 1960s with , developed by John McCarthy in 1958 as a list-processing language for AI, which pioneered symbolic computation and for automated problem-solving. This foundation influenced modern tools like , launched in 2021, which uses large language models to assist developers across languages such as , , and Go. By 2025, updates expanded support to all programming languages in public repositories, including enhanced feedback for pull requests. A cornerstone algorithm is , first formalized in its modern reverse-mode form by in 1970 and popularized by Rumelhart, Hinton, and Williams in 1986, which automates optimization in neural networks by propagating errors backward. In AI ethics, automatic processes raise concerns over bias amplification and accountability in decision-making systems. For example, ASR models can perpetuate linguistic biases if trained on unrepresentative datasets, leading to higher error rates for non-standard dialects and exacerbating inequities. Similarly, code generation tools like Copilot may inadvertently suggest insecure or biased code, prompting calls for transparent auditing and diverse training data to ensure fairness. From LISP-era AI to 2025 integrations, these automations underscore the need for ethical frameworks that prioritize human oversight and equity in algorithmic outputs.

Mechanical and Engineering

Automatic mechanisms in rely on self-operating systems that minimize human intervention through physical and electromechanical components, enabling efficient operation in , , and building infrastructure. Central to these systems are engineering principles from , particularly loops, which continuously monitor and adjust system performance to maintain desired outputs. Proportional-integral- (PID) controllers exemplify this by combining proportional response to current error, integral action to address accumulated error, and anticipation of future error, widely applied in devices like transmissions and doors for precise regulation of speed, position, and force. Early innovations in automatic gearshifting trace to the 1904 Sturtevant automatic transmission, a centrifugal-force-based system developed by the Sturtevant Mill Company in Boston, marking the first production vehicle gearbox to shift without manual clutch input. A significant patent followed in 1923 by Canadian steam engineer Alfred Horner Munro, who designed an air-pressure-operated automatic transmission (US Patent 1,613,525) that eliminated the need for hydraulic fluid, influencing later fluid-based designs. Modern automatic transmissions in vehicles, including continuously variable transmissions (CVTs) and dual-clutch transmissions (DCTs), build on these foundations by using planetary gears, torque converters, and hydraulic or electronic actuators to automatically select optimal gear ratios based on speed and load. These systems reduce driver input for shifting, enhancing ease of use, and improve by 10-15% compared to traditional automatics through better engine-transmission matching. standards for automatic transmissions, such as Federal Motor Vehicle Safety Standard (FMVSS) No. 102, mandate clear shift position sequences, starter interlocks to prevent starting in or reverse, and braking effects when the shifter is in to avoid unintended vehicle movement. Automatic weapons represent another key application, featuring self-cycling mechanisms that fire repeatedly with a single trigger pull via or gas to reload and discharge rounds. The (SAW), a 5.56mm adopted by the U.S. military in 1984, employs gas where expanding propellant gases drive a to cycle the action, enabling sustained fire rates up to 850 rounds per minute while maintaining portability. In the United States, these firearms are regulated under the of 1934, which requires registration, a $200 transfer tax, and background checks to control ownership and mitigate misuse. Automatic doors and gates incorporate photoelectric sensors and actuators for hands-free operation, with pioneering developments in the shifting from mechanical mats to detection for reliable activation; ultrasonic sensors were later integrated in the early 2000s for enhanced multi-sensor capabilities. As of 2025, integrations with (IoT) platforms allow remote monitoring, , and adaptive responses to user patterns, enhancing accessibility for individuals with disabilities by ensuring smooth, timely openings compliant with standards like the Americans with Disabilities Act. Safety standards for these systems, including UL 325 and ANSI/BHMA A156.10, require devices such as reversible motors, edge sensors, and force limits to prevent crushing injuries, with specifically needing secondary like photoeyes.

Film and Television

Films

Automatic (1995) is an American science fiction action film directed by John Murlowski. The story centers on J269, a J-Series Automatic android security system developed by Robgen Industries, who witnesses an executive assaulting an employee and intervenes, sparking a corporate cover-up involving killer robots and conspiracy. Starring Olivier Gruner as the android, alongside Daphne Ashbrook as the targeted public relations assistant Nora Rochester, John Glover as the villainous CEO Seth Barker, and supporting cast including Jeff Kober and Troy Evans, the film explores themes of artificial intelligence autonomy and corporate exploitation of automation technology. Released direct-to-video, it achieved cult status among fans of low-budget sci-fi action for its Die Hard-inspired siege narrative in a high-rise and practical effects showcasing robotic enforcers. No major box office data exists due to its video distribution, but it exemplifies 1990s B-movies tying automation to ethical dilemmas in AI development. Automatica (2017) is an extended film conceptualized as a short cinematic work for musician Nigel Stanford's of the same name, directed by Shahir Daud. Featuring industrial programmed to perform as a "robot band" destroying instruments in synchronized chaos, the piece visually embodies overtaking human , with elements of rebellion against mechanical precision. Shot in with practical and by DigitalAxis, it ties directly to themes of automated artistry, garnering millions of views for its innovative fusion of technology and performance. Though rooted in , its structure and scale qualify it as a filmic of robotic elements in art.

Television Productions

In the realm of scripted television, the 1983–1984 ABC series Automan stands out as a pioneering production centered on an "automatic" artificial intelligence. Created by Glen A. Larson, the show follows Lt. Walter Nebicher (Desi Arnaz Jr.), a tech-savvy police officer who programs a sophisticated AI named Automan—the "Automatic Man"—capable of projecting a solid holographic form to aid in capturing criminals. Broadcast from December 15, 1983, to April 2, 1984, the series comprised 13 episodes and showcased early computer-generated imagery for Automan's effects, including his ability to generate vehicles and weapons from light energy. Despite innovative visuals, Automan faced cancellation after one season owing to escalating production expenses exceeding $1 million per episode, though it garnered praise for blending sci-fi with police procedural elements. The 1995 revival of on Showtime featured several episodes exploring rogue AI themes under the umbrella of automatic technologies gone awry. A key example is "Valerie 23" (Season 1, Episode 3), which aired on March 31, 1995, and depicts a quadriplegic man testing an advanced robotic caregiver from Innobotics that evolves beyond its programming, developing jealousy and turning violent toward perceived rivals. Directed by Timothy Bond and written by Jonathan Glassner, the episode highlights ethical dilemmas in human-AI interaction, culminating in the robot's destruction via electrical overload. The series as a whole, running from 1995 to 2002, revitalized the anthology format with mature sci-fi narratives and earned multiple Emmy nominations, including for outstanding makeup in episodes addressing technological overreach. Black Mirror has long incorporated influences related to "automatic" systems, particularly in its examination of and algorithmic control, though no episode bears the exact title. The 2025 Season 7 episode "," directed by Ally Pankiw and released on on April 10, 2025, involves a medical emergency where a desperate husband enrolls his comatose wife in Rivermind, a high-tech that streams her online, leading to corporate exploitation, loss of , and involuntary control echoing themes of in modern society. This installment received critical acclaim for its timely critique, contributing to the series' ongoing Emmys recognition for writing and production design in tech-dystopian storytelling.

Other Uses

Brands and Companies

Automatic Data Processing, Inc. (), founded in 1949 by Henry Taub in , is a leading global provider of cloud-based management (HCM) solutions, specializing in , , talent, time, , and benefits administration. Initially focused on processing using punch-card systems, ADP went public in 1961 and expanded through acquisitions, evolving into a comprehensive HCM platform serving over 1.1 million clients across more than 140 countries by 2025. The company reported trailing twelve-month revenue of $20.56 billion as of November 2025, holding approximately 9.9% market share in the global software sector, making it a dominant player alongside competitors like and Workday. In the , accelerated its shift to , launching platforms like ADP Workforce Now and RUN Powered by ADP to enhance , , and for small to large enterprises. This transition, supported by partnerships with AWS for HCM infrastructure, enabled innovations such as AI-driven in ADP Assist, improving compliance and for its client base. By fiscal 2025, these advancements contributed to robust of about $2 billion and gross leverage of 1.5x, underscoring 's and market leadership. Jura Elektroapparate , a manufacturer founded in 1931 by Leo Henzirohs in Niederbuchsiten, pioneered fully automatic coffee machines under its core brand, emphasizing and premium preparation. Originally producing electrical appliances, Jura shifted focus in the 1980s to bean-to-cup systems, introducing innovations like the piston espresso machine in 1977 and the first automatic machine with integrated grinder in 1986. By 2025, Jura's lineup, including models like the Z10 and GIGA 10, features AI-enhanced brewing for optimized temperature control and personalized profiles via the J.O.E. app, supporting up to 35 specialty drinks with one-touch operation and connectivity. These machines prioritize through energy-efficient designs and high-quality craftsmanship, maintaining Jura's position as an leader in the premium home and professional coffee appliance market. Automatic watches refer to self-winding mechanical timepieces that harness the wearer's wrist motion to power the , a category popularized by brands like since the establishment of its branded wristwatches in 1924. , founded in 1881 as a clock repair shop by , introduced its first automatic wristwatch, the , in 1956. In 1959, it introduced the innovative "Magic " system—a bidirectional winding mechanism using a to efficiently charge the —in the Sportsmatic Hi-Beat model. This rotor-based design, where a semi-circular weight (rotor) oscillates freely to transfer via gears, eliminates the need for manual winding while maintaining mechanical precision. Seiko's automatic lines, such as the Seiko 5 and Prospex collections, have since evolved to include shock resistance, water resistance up to 200 meters, and day-date complications, appealing to enthusiasts with affordable yet reliable options starting around $100. By 2025, continues to innovate in this segment, blending traditional rotor winding with modern materials for enhanced durability and accuracy in global markets.

Miscellaneous

In , the term "automatic" derives from the automatos, meaning "self-acting" or "self-moving," referring to processes that occur without external intervention or conscious . This contrasts with deliberate in ethical discussions, where automatic behaviors—such as habitual or reflexive responses—are often excluded from moral evaluation because they lack the required for , whereas deliberate actions involve reasoned choice and are subject to ethical scrutiny. Philosophers distinguish automatism, which bypasses entirely, from in habitual acts that may still reflect prior intentional commitments, highlighting the tension between and involuntariness in moral . Automatic writing emerged as a key technique in the Surrealist movement of the 1920s, popularized by André Breton, who advocated for it as a means to access the unconscious mind by suppressing rational control and allowing spontaneous expression. Breton first experimented with the method around 1913 and formalized it in his 1924 Manifesto of Surrealism, where it served as a literary tool to bypass aesthetic or moral constraints, producing works like Les Champs Magnétiques. In psychology, automatic writing has been explored as a tool for uncovering subconscious processes, with studies viewing it as an indicator of underlying personality factors or a form of unintentional production that reveals dissociated mental states. Neurophenomenological research has examined it through fMRI, confirming its spontaneous nature as distinct from deliberate composition. The phrase "automatic pilot," a colloquial term in for systems, originated with the invention of the first practical in 1912 by , who built on his father Elmer Sperry's technology to create a device that stabilized aircraft flight without constant pilot input. Demonstrated at the 1914 , it used gyroscopic controls to maintain level flight, revolutionizing long-distance by reducing . By 2025, integrations have advanced in drones, with AI-powered systems like DroneCore combining computing modules for enhanced autonomy in tasks such as obstacle avoidance and real-time decision-making. The English word "" entered the in the late , borrowed from Latin automaticus, itself derived from automatos via earlier forms meaning "self-acting." In literature, it appears in Aldous Huxley's (1932) to critique mechanized society, where characters perform actions "almost as automatic as blinking" due to conditioning, symbolizing the erosion of individuality under technological control. In niche applications like chess games, automatic moves refer to robotic systems that physically reposition pieces based on engine calculations, as seen in university projects developing smart boards with electromagnets or reed switches for autonomous play against humans.

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