Hubbry Logo
Klára Dán von NeumannKlára Dán von NeumannMain
Open search
Klára Dán von Neumann
Community hub
Klára Dán von Neumann
logo
18 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Klára Dán von Neumann
Klára Dán von Neumann
Klára Dán von Neumann
View on Wikipedia
from Wikipedia

Klára Dán von Neumann (née Dán; 18 August 1911 – 10 November 1963) was a Hungarian-American mathematician, self-taught engineer and computer scientist, noted as one of the first computer programmers.[2][3] She was the first woman to execute modern-style code on a computer.[4] Dán made significant contributions to the world of programming, including work on the Monte Carlo method, ENIAC, and MANIAC I.[5][4]

Key Information

Early life

[edit]

Klára Dán, known as Klári to her friends and family, was born in Budapest, Hungary on August 18, 1911, to Károly Dán and Kamilla Stadler, a wealthy Jewish couple.[6][7][8] Her father had previously served in the Austro-Hungarian Army as an officer during World War I, and the family moved to Vienna to escape Béla Kun's Hungarian Soviet Republic. Once the regime was overthrown, the family moved back to Budapest. Her family was wealthy, and often held parties where Dán would meet many different people from various stations in life.

At 14, Dán became a national champion in figure skating.[7] She attended Veres Pálné Gimnázium [hu] in Budapest and graduated in 1929.[4]

Work

[edit]

After their wedding, Dán and John von Neumann immigrated to the United States, where he held a professorship at Princeton University. Upon immigration, Dán listed her profession as "housewife".[5] However, after the Attack on Pearl Harbor, more jobs for women opened up in the U.S. and Dán was able to secure a position at Princeton.[5] Her title was "Head of Statistical Computing Group".[5] In 1943, J. von Neumann moved to Los Alamos National Laboratory in New Mexico to work on calculations as part of the Manhattan Project. Dán remained at Princeton until 1946, working at the university's Office of Population Research.[8] At this time, she was sharing an office with Adele Goldstine.[9] Dán also enrolled in calculus at Princeton in 1947.[9] Both Goldstine and Dán were then contracted to work in Los Alamos New Mexico in early summer of 1947.[9]

And so, after the war, Dán joined von Neumann in New Mexico to program the MANIAC I machine, which could store data, designed by her husband and Julian Bigelow.[4][10][11] This work was entirely novel, a feat that had never been completed before. Dán scored the job, however, due to the belief at the time that programming was menial work, similar to human computing, a job commonly held by women. For decades after this, society would devalue the work of programming, which ultimately allowed women to be a large part of the workforce.[9] More specifically, Dán's job was to translate mathematical instructions into a language the computer could understand. To do this she would look up "codes" - numbers that correspond to instructions for the computer. This is the origin of the word "coder", and the birth of the modern code paradigm. This coding also required her to ask for sections of the machine to be rebuilt, as there was not a clear distinction between software and hardware at the time.[9] She then worked on the ENIAC (Electronic Numerical Integrator and Computer) on a project with von Neumann to produce the first successful meteorological forecast on a computer. Dán designed new controls for ENIAC and was one of its primary programmers.[12][13] She trained a group of people drawn from the Manhattan Project to store programs as binary code.[8] During this time she also wrote the code for the first computer simulation of the Monte Carlo method, which is a method to store and analyze large quantities of data and make predictions on everything from elections to COVID-19 trend forecasting.[9]

She taught the meteorologists how to program ENIAC where she managed 100,000 punch cards ensuring there were no data loss.[14] She worked for 32 days on the project, where she saw through and checked the final code.[3]

After her husband's death from cancer in 1957, Dán wrote the preface to his Silliman Lectures. The lectures were published in 1958[15] and later edited and published by Yale University Press as The Computer and the Brain.[16] She also wrote an unpublished memoir entitled A Grasshopper in Very Tall Grass.[5] In 2022, Dán was the subject of a multi-episode season of the Lost Women of Science[17] podcast.

Personal life and death

[edit]

Dán met her first husband, Ferenc Engel, at one of her parents' parties.[5] They wed in 1931.[18] Dán was 19 and described herself as "frighteningly in love." Engel was an avid gambler, and took Dán on many trips to casinos. They were at a casino in Monte Carlo when Dán met John von Neumann, whom she would later marry, for the first time. He explained that he had perfected a way to ensure that he would win roulette every time, but promptly lost all his money trying to prove his point. Afterwards, he asked Dán to buy him a drink, a consequential interaction which would set the stage for their long friendship and eventual romance.

Eventually, after a particularly tumultuous trip through Southern Europe, Engel's gambling became too much of a problem for Dán and she divorced him.[5] She remarried one month later, this time to Andor Rapoch, an investment banker 18 years her senior.[18] Throughout her marriage to Rapoch, Dán maintained contact with John von Neumann.

In 1938, after von Neumann went through a divorce himself, Dán divorced Rapoch and married von Neumann.[5] Klára and John von Neumann were socially active within the local academic community,[19] and their white clapboard house on Westcott Road was one of Princeton's largest private residences.[20]

On August 30, 1939, with the start of World War II looming, Dán traveled back to Budapest by boat to convince her parents and in-laws to leave the country.[5] Her father did not adjust well to leaving his home and factory, and committed suicide later that year.[5] In June 1942, she suffered a late-term miscarriage.[5]

In 1955, John von Neumann was diagnosed with metastatic cancer, which may have been caused by exposure to radiation at Los Alamos National Laboratory.[21] He died in 1957.[22]

In 1958, a year after von Neumann's death, Dán married her fourth husband, oceanographer and physicist Carl Eckart, and moved to La Jolla, California.

Over the course of her four marriages, Dán never had children of her own. Her stepdaughter, Marina von Neumann Whitman (March 6 1935 – May 20 2025), was two years old when Dán and von Neumann married, and grew up to become a prominent economist, automobile executive, and professor of business administration and public policy.[23]

In 1963, Dán drove from her La Jolla home to the beach, where she walked into the surf and drowned. The San Diego coroner's office listed her death as a suicide.[7][24] She was 52 years old.

Further reading

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Klára Dán von Neumann

View on Grokipedia
from Grokipedia
Klára Dán von Neumann (August 18, 1911 – November 10, 1963) was a Hungarian-born American self-taught computer and who pioneered early techniques in electronic digital computing. Born into a wealthy Jewish family in , she married the John von Neumann in 1938 and collaborated with him on computational projects after emigrating to the . Lacking formal training in the field, she developed expertise in programming during the post-World War II era, contributing to simulations for modeling behavior in and thermonuclear processes at . Her notable achievement included co-designing with John von Neumann a 840-instruction program for the computer in 1948, which employed subroutines, nested loops, and indirect addressing to execute stored-program computations, marking an early adoption of modern coding paradigms. She later programmed the MANIAC computer for similar simulations, influencing the trajectory of scientific computing despite receiving scant contemporary recognition overshadowed by her husband's prominence.

Early Life

Birth and Family Background

Klára Dán was born on August 18, 1911, in , . Her parents, Károly Dán and Kamilla Stadler, belonged to a wealthy Jewish family that resided in a magnificent villa in , partitioned into apartments for extended relatives. This affluent environment exposed her from an early age to a cultured milieu amid Hungary's interwar Jewish and commercial elite.

Education and Early Career in Hungary

Klára Dán was born on August 18, 1911, in , , into a wealthy Jewish family; her father, Károly Dán, and mother, Kamilla Stadler, resided in a villa that hosted gatherings of prominent artists and intellectuals. She received a that included courses in and , attending an English among other institutions, but showed no early interest in science or . Dán later described herself in unpublished memoirs as a "mathematical moron," reflecting her self-assessed struggles with quantitative subjects during schooling. Beyond academics, Dán excelled in , winning the Hungarian national championship at age 14 around 1925, an achievement that highlighted her physical discipline amid a privileged upbringing. Following completion of , she did not enroll in or pursue formal higher studies in any technical field. Dán's early activities in centered on social and personal pursuits rather than professional employment, enabled by her family's affluence; at age 19 in 1930, she married Ferenc Engel, a gambler, and the couple traveled across to casinos, maintaining a high-society before divorcing after four years. In 1937, she entered a brief second marriage to banker Andor Rapoch, which ended in divorce later that year, marking the extent of her documented pre-computing engagements in with no evidence of paid work or vocational training.

Personal Life

Meeting and Marriage to John von Neumann

Klára Dán first met at a casino in during the early , while she was married to her second husband, Andrew Engel, a businessman. Recognizing von Neumann, a prominent Hungarian mathematician known for his work in and , Dán approached him as he demonstrated a probabilistic strategy for predicting outcomes based on physical wheel dynamics. This encounter, though brief, left an impression, and the two maintained sporadic contact amid their respective marriages. Von Neumann's first marriage to Marietta Kövesi ended in divorce on November 2, 1937, after which he actively courted Dán, who was then in an unhappy marriage to banker Andor Rapoch, eighteen years her senior. Dán divorced Rapoch in 1938, enabling her marriage to von Neumann on November 17, 1938, in . The union united two natives from affluent Jewish families, both fluent in multiple languages and immersed in intellectual circles, though Dán later described herself as less mathematically inclined than her husband. The couple's marriage occurred against the backdrop of escalating in , prompting their emigration to the shortly thereafter, where von Neumann had secured a position at the Institute for Advanced Study in . Their relationship, marked by von Neumann's intense work ethic and social charisma, integrated Dán into transatlantic academic networks, though it was strained by his frequent absences and rumored infidelities. Despite these challenges, the marriage lasted until von Neumann's death in 1957.

Family Dynamics and Social Circle

Klára Dán and shared an intellectually intense marriage marked by mutual fascination with and , often engaging in extended discussions that bridged their professional pursuits, though the union was strained by prolonged separations due to John's wartime commitments on the and her subsequent emotional challenges, including a in 1942 while living apart in . The couple had no children, and their relationship dynamics reflected a blend of companionship and independence, with Klára initially pursuing social engagements like national in before adapting to the demands of émigré life . In Princeton, where they settled after their 1938 marriage, the von Neumanns hosted legendary parties that drew an elite circle of intellectuals, fostering a vibrant social environment amid the Institute for Advanced Study's academic milieu. Their network extended to fellow Hungarian émigré scientists, including Edward Teller and Eugene Wigner, with whom they shared poker games and gatherings during Klára's time in Los Alamos, where she rekindled ties with John amid the project's secrecy. These interactions highlighted a cosmopolitan, high-achieving social sphere oriented toward scientific collaboration rather than extended family ties, as Klára's own familial support was disrupted by her father's suicide in 1939.

Death and Immediate Aftermath

Klára Dán von Neumann died on November 10, 1963, at the age of 52, in , California. Her body was discovered washed ashore on Windansea Beach after she had entered the in the middle of the night, having weighted her dress with sand to facilitate drowning. The County coroner's office officially ruled the death a by . A coroner's report noted a prior diagnosis of "anxiety depression with neuroses," though no specific precipitating events were publicly detailed beyond her personal struggles following the 1957 death of her husband, , from cancer. Following her death, Dán von Neumann was buried in , with limited public documentation of memorial services or broader institutional responses, reflecting her relatively low-profile status in later years despite earlier contributions to . Her third marriage, to Carl Eckart in , had placed her in academic circles in , but no immediate professional tributes or investigations into her work emerged in the aftermath.

Professional Contributions to Computing

Initial Involvement with ENIAC

Klára Dán von Neumann, possessing only high school-level knowledge of algebra and , began her involvement with in 1947 as a self-taught , initially learning to operate the machine through hands-on experience facilitated by her husband John von Neumann's consultations on the project. In early 1948, at the in , she collaborated with and to reconfigure ENIAC's wiring and control panels, adapting it from a fixed-program calculator—originally designed for firing tables—to simulate a by using its function tables for both data and instructions in binary form. Her initial programming efforts focused on implementing methods for , translating von Neumann's abstract flowcharts into concrete setups to model neutron diffusion and decay during , with the first such simulations executed in 1948. During this phase, Dán von Neumann debugged code, set up test runs, and trained a team of five operators in ENIAC programming techniques, managing the labor-intensive process of rewiring panels and punching cards while ensuring simulation accuracy for thermonuclear probability calculations. This work represented the first instance of modern-style coding on , shifting from manual reconfiguration to more systematic instruction storage, though limited by the machine's 20-digit capacity per function table and reliance on physical switches.

Development of Stored-Program Concepts

In the late , following the initial operational phase of the during , Klára Dán von Neumann contributed to efforts to adapt the machine for stored-program operation, addressing the limitations of its original wired configuration that required physical rewiring for each new task. Collaborating with in 1947, she helped plan the reconfiguration, which involved repurposing ENIAC's function tables and constant transmitters to store both data and instructions in electronic memory, thereby simulating the stored-program architecture outlined in John von Neumann's 1945 report. This approach eliminated the need for manual panel swaps, reducing reprogramming time from days to hours. In 1948, Dán von Neumann traveled to the in , where had been relocated, to oversee the physical implementation of the modifications. Working continuously for 32 days, she installed a new that enabled the machine to fetch and execute instructions from its internal storage units, effectively converting it into one of the earliest practical examples of a . She trained a team of five programmers— including Foster Evans, Cerda Evans, Harris Mayer, Rosalie Mayer, and — in the operation of the modified , facilitating its use for complex simulations. This conversion occurred in March or April 1948, predating the Baby's first stored-program run on June 21, 1948, and demonstrated the feasibility of electronic program storage on existing hardware. Dán von Neumann documented the process in a detailed report titled "ENIAC as a ," emphasizing its advantages: "The method is clearly a 100% improvement over ordinary programming." Following the upgrade, she authored and executed the first extensive machine-code program on the reconfigured in April 1948—a simulation comprising over 800 instructions to model diffusion in nuclear reactions. This program, stored electronically rather than wired, marked a pivotal step in transitioning from task-specific calculators to general-purpose, reprogrammable computers, influencing subsequent designs like the and MANIAC. Her hands-on engineering and programming bridged theoretical concepts to operational reality, though credit has historically been overshadowed by her husband's theoretical contributions.

Monte Carlo Simulations for Nuclear Applications

Klára Dán von Neumann played a pivotal role in adapting the for computational simulations of behavior in processes, particularly for Los Alamos National Laboratory's efforts to model atomic and designs. The technique, conceived by Stanisław Ulam and around 1946, relied on random sampling to approximate solutions to complex probabilistic problems, such as tracking paths and multiplication rates in fissile materials where analytical methods were infeasible. Klára's contributions centered on translating these mathematical concepts into executable programs on early electronic computers like the , enabling the first large-scale digital simulations of nuclear reactions post-World War II. In 1947, Los Alamos scientists, facing limitations in manual calculations for implosion designs and criticality assessments, turned to the at the for runs. Klára, leveraging her programming experience from ENIAC's initial applications, took primary responsibility for diagramming the algorithm's flow and coding it into the machine's wired panels and function tables, a process she described as akin to "translating English into Russian." This involved breaking down equations into iterative random walks, accounting for , absorption, and fission probabilities. By April 1948, she collaborated with , , and others to execute the inaugural series of these simulations on ENIAC, processing thousands of neutron histories to estimate multiplication factors and reaction yields—computations that would have taken human teams years but were completed in days. Her code represented an early instance of structured, modern-style programming, using subroutines for efficiency and through iterative testing, which proved crucial for handling the method's inherent statistical variance. In May 1949, Klára led the third major run of fission simulations, refining inputs for core designs and validating against experimental data from critical assemblies. These efforts directly supported U.S. nuclear by providing probabilistic insights into weapon reliability, though results required averaging multiple runs to mitigate sampling errors inherent to the approach. Despite the classified nature of the work, declassified records confirm her code's execution marked the first digital application to , paving the way for subsequent codes like those on the computer.

Weather Forecasting Simulations

Klára Dán von Neumann contributed to the pioneering experiments conducted on the computer in 1950, where her programming expertise facilitated the translation of complex atmospheric models into executable instructions. Under the direction of and meteorologist Jule Charney, the project tested the barotropic to simulate atmospheric flow on a grid approximating , using initial conditions from observed data on February 5, 1949. These retrospective simulations generated the first computer-produced 24-hour weather forecasts, which demonstrated reasonable accuracy against actual outcomes, validating the approach despite computational limitations. Lacking prior experience with electronic computing, the meteorologists relied on Dán von Neumann to instruct them in encoding the finite-difference schemes and iterative algorithms required for ENIAC's wired program panels and function tables. She oversaw the preparation of extensive data decks—reportedly involving up to 100,000 punch cards per full run—to input grid-point values for , , and , while managing the machine's reconfiguration between time steps, each of which could take several hours due to manual wiring adjustments. The effort, conducted at the U.S. Army's , marked a shift from manual graphical methods to deterministic , though results were hindcasts rather than real-time predictions, limited by ENIAC's 20-digit precision and absence of or in the initial model. Popular narratives have sometimes overstated her scientific leadership in model development, attributing the forecasts' success primarily to her; however, archival reviews confirm her essential but implementation-focused role in bridging theoretical and machine execution, complementing the mathematical innovations by Charney and von Neumann. These simulations laid foundational evidence for computational meteorology's viability, influencing subsequent advancements like the 1955 operational barotropic models at the Joint Unit, though full prognostic forecasting awaited faster machines and refined physics.

Legacy and Historical Assessment

Recognition of Achievements

Klára Dán von Neumann's contributions to early received minimal formal acknowledgment during her lifetime, often overshadowed by her husband John von Neumann's renown and the informal nature of her roles at institutions like the Institute for Advanced Study. She was credited in a scientific paper for providing instruction in coding techniques and verifying code for numerical weather predictions, though broader credit for the project eluded her and other female programmers. No professional awards or honors were bestowed upon her while alive, reflecting the era's undervaluation of programming as a technical skill and systemic underattribution to . Posthumously, her achievements have gained traction through historical scholarship and media retrospectives. The 2016 book ENIAC in Action: Making and Remaking the Modern Computer by Thomas Haigh, , and Crispin Rope details her pivotal programming of simulations for on , her adaptations of the machine for stored-program execution, and her influence on early software practices, crediting her ingenuity despite limited formal training. A 2017 Smithsonian Magazine article emphasized her unheralded role in pioneering simulations, positioning her as a foundational figure in numerical . Further recognition emerged in the 2020s via initiatives recovering overlooked female scientists. She was the focus of a seven-episode second season of the Lost Women of Science , released in 2022 by PRX and , which spotlighted her authorship of the first modern-style executed in the for optimizing nuclear weapons design. Additional coverage includes a 2022 blog post portraying her as a "lost woman of computing science" for her ENIAC operations and stored-program innovations, and articles in outlets like Engelsberg Ideas (2022) and a analysis (2023) affirming her as the originator of the world's first machine-intended . These accounts underscore her causal impact on programming paradigms, though they note persistent historiographical biases favoring hardware inventors and male theorists over coders.

Criticisms and Limitations of Contributions

Despite the pioneering nature of Klára Dán von Neumann's programming efforts on the , the conversion to a stored-program architecture in 1947–1948 was hampered by the machine's inherent hardware limitations, including reliance on function tables for instruction storage rather than fully , which restricted flexibility and efficiency compared to later designs. Programming the system remained labor-intensive, akin to assembling an "intricate ," with frequent minor errors necessitating hours or days of rework, and operational disruptions such as a programmer's injury temporarily halting computations. In simulations for nuclear applications, her implementation on early computers like the MANIAC faced constraints from limited computational resources, yielding probabilistic approximations rather than exact solutions, with accuracy dependent on the quality of underlying models and the feasibility of large sample sizes, which often proved resource-prohibitive. These methods required extensive runtime and were vulnerable to statistical variability, underscoring their role as tools rather than definitive predictors in complex problems. The weather forecasting experiments she supported in 1950, involving retrospective 12- and 24-hour predictions, were limited by simplified barotropic models that omitted key baroclinic effects and atmospheric dynamics, resulting in mixed accuracy and times matching or exceeding real-world intervals (e.g., 24 hours to simulate 24 hours). While demonstrating feasibility, these efforts highlighted the era's technological bottlenecks, including the machine's unreliability and the need for manual interventions, tempering their immediate practical impact.

Impact on Modern Computing and Historiography

Klára Dán von Neumann's implementation of the first modern stored-program code on the in 1948 established a paradigm for that underpins virtually all contemporary software architectures. Her handwritten code, executed on June 28-29, 1948, converted the ENIAC from a fixed-wiring machine to one capable of internal program storage and execution, directly advancing the von Neumann architecture's practical realization and enabling flexible, reusable computation routines essential to scalable software development. This transition facilitated the evolution from specialized hardware to general-purpose digital computers, with her methods influencing successive systems like the and modern von Neumann-based processors used in billions of devices. Her contributions to methods for simulating thermonuclear processes in the late and early 1950s demonstrated early applications of probabilistic computing for complex physical modeling, techniques that persist in fields such as risk analysis, , and financial derivatives pricing today. Under John von Neumann's theoretical guidance, Klára translated mathematical algorithms into executable code for the MANIAC computer, achieving simulations of implosion dynamics for atomic weapons that validated empirical data from tests like in 1951. These efforts established computational simulation as a viable alternative to physical experimentation, scaling to modern supercomputing clusters for climate modeling and . In , Klára led the programming team that produced the first computer-generated 12-hour and 24-hour retrospective forecasts in 1950 using the , incorporating finite-difference methods to solve hydrodynamic equations over a 1,200-by-3,000-kilometer grid with 20 vertical levels. This work, building on Jule Charney's models, proved the feasibility of deterministic forecasting via digital computation, directly informing the operational systems at the Joint Numerical Weather Prediction Unit established in 1955 and the global ensemble prediction models operational since the . Historiographical assessments of Klára's role have shifted from near-omission in mid-20th-century accounts—often subsumed under her husband's fame or attributed to teams without individual credit—to recognition as a pioneering self-taught since archival rediscoveries in the . Early histories, such as those in the 1950s documentation, credited her minimally amid male-dominated narratives, reflecting institutional biases toward formal credentials over practical execution, as Klára lacked advanced degrees despite her Budapest banking training. Recent , including the 2022 "Lost Women of Science" and analyses, substantiates her agency through preserved code sheets and correspondence, countering prior underemphasis by emphasizing verifiable outputs like her 1948 program log rather than speculative narratives. This reevaluation aligns with declassified records released progressively since 2000, which document her discrete contributions without inflating influence beyond evidenced implementation.

References

  1. https://computerhistory.org/wp-content/uploads/2023/01/Lost-Woman-of-Science_010623.pdf
  2. https://computerhistory.org/blog/programming-the-eniac-an-example-of-why-computer-history-is-hard/
  3. https://engelsbergideas.com/portraits/klara-dan-esoteric-intellect-who-wrote-the-first-modern-computer-code/
  4. https://www.smithsonianmag.com/science-nature/meet-computer-scientist-you-should-thank-your-phone-weather-app-180963716/
  5. https://news.ycombinator.com/item?id=40817343
  6. https://voxmeditantis.com/2025/07/26/when-klara-dan-von-neumann-the-mathematical-moron-who-became-computings-hidden-pioneer/
  7. https://ethw.org/John_von_Neumann
  8. https://fr.findagrave.com/memorial/172096728/klara-eckart
  9. https://slate.com/technology/2022/07/lost-women-science-klara-dan-von-neumann-mental-health.html
  10. https://hdl.loc.gov/loc.mss/eadmss.ms996003.3
  11. https://computerhistory.org/blog/there-at-the-creation/
  12. https://ui.adsabs.harvard.edu/abs/2007IAHC...29d..82R/abstract
  13. https://engelsbergideas.com/essays/how-the-information-age-really-began/
  14. https://cacm.acm.org/blogcacm/the-other-von-neumann/
  15. https://laro.lanl.gov/view/pdfCoverPage?instCode=01LANL_INST&filePid=13158274630003761&download=true
  16. https://ieeexplore.ieee.org/document/6880250/
  17. https://www.lostwomenofscience.org/podcast-episodes/season-2-episode-4-netherworld
  18. https://mcnp.lanl.gov/pdf_files/TechReport_2023_LANL_LA-UR-23-27907_JoseySood.pdf
  19. https://www.theguardian.com/news/2021/mar/13/weatherwatch-unsung-woman-behind-modern-forecasting-klara-dan-von-neumann
  20. https://www.forbes.com/sites/marshallshepherd/2017/01/24/how-a-woman-you-never-heard-of-helped-enable-modern-weather-prediction/
  21. https://www.lostwomenofscience.org/podcast-episodes/season-2-bonus-the-weather-myth
  22. https://findingada.com/blog/2021/10/11/ald21-klara-dan-von-neumann-computer-scientist/
  23. https://onlinelibrary.wiley.com/doi/10.1111/j.2153-3490.1950.tb00336.x
  24. https://mitpress.mit.edu/9780262535175/eniac-in-action/
  25. https://www.lostwomenofscience.org/klara-dan-von-neumann
  26. https://ananyo.substack.com/p/who-wrote-the-first-modern-computer
  27. https://eniacinaction.com/
  28. https://www.tomandmaria.com/Tom/Writing/StoredProgramConsideredHarmfulPREPRINT.pdf
  29. https://pmc.ncbi.nlm.nih.gov/articles/PMC2924739/
  30. https://mcnp.lanl.gov/pdf_files/Article_1987_LAS_Eckhardt_131--141.pdf
  31. https://maths.ucd.ie/~plynch/Publications/ENIAC-BAMS-08.pdf
  32. https://www.lesswrong.com/posts/JaSu2DosK2iMhhgST/lessons-from-weather-forecasting-and-its-history-for
Add your contribution
Related Hubs
User Avatar
No comments yet.