Massachusetts Institute Of Technology Research Articles

Correspondence between Mawson and Simmers: the missing meteorological report of Ritchie Simmers from the BANZARE voyages of 1929–1931 in Antarctic waters

ABSTRACT The British, Australian and New Zealand Antarctic Research Expedition (BANZARE) operated during the 1929–1930 and 1930–1931 austral summers, primarily as a ship-borne expedition in the Southern Ocean. Involvement of meteorologist Ritchie Simmers from the New Zealand Meteorological Service was part of the New Zealand contribution to the expedition. He collected data assiduously, including two-hourly weather observations during the day and 34 balloon flights tracked by theodolite observations. Simmers worked up considerable data but did not produce anything in the BANZARE scientific report series, as expected by Professor Douglas Mawson, series editor and expedition leader. Based on correspondence in the Mawson Centre at the South Australian Museum between Mawson and Simmers about his pending report, we suggest reasons for the striking omission of meteorological information from the report series. Simmers had a busy, full-time career with the New Zealand Meteorological Service, and not until 1947 was he permitted to work on his report in office hours. He was distracted by other events, including studying at Massachusetts Institute of Technology (M.I.T.). We suggest Simmers’ enthusiasm for the project waned after Mawson rebuffed potential collaboration with Professor Rossby at M.I.T. involving BANZARE meteorological data. Little of Simmers’ data set has been located.

The oleaginous voice: Auto-Tune, linear predictive coding, and the security-petroleum complex

ABSTRACT In the twentieth century, exploration geophysics and digital vocal processing each underwent key technical transformations based on formally similar signal processing techniques derived from prior work in statistics and information theory. Engineers at Texas Instruments (TI) and the Massachusetts Institute of Technology (MIT) developed deconvolution filtering as a way to model geological strata from seismograph recordings in order to facilitate oil exploration. Meanwhile, engineers at Bell Laboratories and Nippon Telegraph and Telephone (NTT) used similar techniques to digitally encode and transmit speech signals more efficiently – a method known as linear predictive coding (LPC). These cognate approaches to modeling geophysical and vocal signals provided a practical basis for subsequent forays by oil industry figures into the world of digital audio. Tracing the histories of four technologies – LPC secure voice transmission terminals, the TI Speak & Spell educational toy, automatic speech recognition, and the vocal pitch correction software Auto-Tune – I analyze the role of security interests in facilitating spillovers between technologies of oil and the voice. I argue that, by approaching both geophysical and vocal signals as matters of national security, the United States’ defense and intelligence services furnished the bulk of socio-economic connective tissue between petroleum geophysics and vocal processing research.

Prevalence and Pathologic Characterization of Mouse Kidney Parvovirus in Sentinel CD1 Mice

Abstract Mouse kidney parvovirus (MKPV) infection can cause significant morbidity and mortality by inducing moderate to severe inclusion body nephropathy and kidney fibrosis in aged immunodeficient mice. However, MKPV infection in immunocompetent mice is associated with histopathologic findings ranging from absent to minimal or moderate lymphoplasmacytic interstitial nephritis without inclusion body in most cases. We surveyed the prevalence of MKPV via PCR from August 2019 through January 2021, using feces, kidneys, and livers collected and pooled from 2 sentinel mice [Crl:CD1(ICR)] (CD1) per surveillance cage (a total of 212 cages). CD1 mice used as dirty-bedding sentinels were housed for 6 mo in a separate cage on the same rack as colony mice used in research at the Massachusetts Institute of Technology and at the Whitehead Institute for Biomedical Research. MKPV quantitative PCR positivity was 16.04%, 14.62%, and 10.02% for feces, kidney, and liver, respectively. The aggregate prevalence of MKPV was 22.64% (48 of 212 samples). Thirty-three of 103 rooms (32.04%) were MKPV positive. MKPV-positive kidneys had more severe chronic lymphoplasmacytic interstitial nephritis (CLIN) than MKPV-negative kidneys; however, there was no significant difference in hepatic lesions between MKPV-positive and -negative livers. Although no overt intranuclear inclusion body nephropathy was noted in MKPV-positive CD1 kidneys, MKPV RNA was sporadically detected within tubular epithelial cells in MKPV-positive kidneys but not in MKPV-positive livers. Our study indicates that MKPV can be easily transmitted through soiled bedding. It highlights that CD1 mice can be used as sentinels to detect MKPV, emphasizing the importance of monitoring MKPV distribution using quantitative PCR in sentinel mice if MKPV needs to be excluded from a colony. Importantly, as MKPV infection is associated with mild to moderate CLIN, MKPV can potentially confound the interpretation of in vivo biomedical data.

Field theory with the Maxima computer algebra system

The Maxima computer algebra system, the open-source successor to MACSYMA, the first general-purpose computer algebra system that was initially developed at the Massachusetts Institute of Technology in the late 1960s and later distributed by the United States Department of Energy, has some remarkable capabilities, some of which are implemented in the form of add-on, “share” packages that are distributed along with the core Maxima system. One such share package is itensor, for indicial tensor manipulation. One of the more remarkable features of itensor is functional differentiation. Through this, it is possible to use itensor to develop a Lagrangian field theory and derive the corresponding field equations. In this paper, we demonstrate this capability by deriving Maxwell’s equations from the Maxwell Lagrangian, and exploring the properties of the system, including current conservation.

Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review.

Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center for Mesoscale Mapping (CMM) at the Massachusetts General Hospital (MGH) Athinoula A. Martinos Center for Biomedical Imaging and the Massachusetts Institute of Technology (MIT) Health Sciences Technology based Neuroimaging Training Program (NTP) hosted a symposium exploring the state-of-the-art in this rapidly growing area of research. "Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging" brought together researchers who use a broad range of imaging techniques to study brain structure and function at the convergence of the microscopic and macroscopic scales. The day-long event centered on areas in which the CMM has established expertise, including the development of emerging technologies and their application to clinical translational needs and basic neuroscience questions. The in-person symposium welcomed more than 150 attendees, including 57 faculty members, 61 postdoctoral fellows, 35 students, and four industry professionals, who represented institutions at the local, regional, and international levels. The symposium also served the training goals of both the CMM and the NTP. The event content, organization, and format were planned collaboratively by the faculty and trainees. Many CMM faculty presented or participated in a panel discussion, thus contributing to the dissemination of both the technologies they have developed under the auspices of the CMM and the findings they have obtained using those technologies. NTP trainees who benefited from the symposium included those who helped to organize the symposium and/or presented posters and gave "flash" oral presentations. In addition to gaining experience from presenting their work, they had opportunities throughout the day to engage in one-on-one discussions with visiting scientists and other faculty, potentially opening the door to future collaborations. The symposium presentations provided a deep exploration of the many technological advances enabling progress in structural and functional mesoscale brain imaging. Finally, students worked closely with the presenting faculty to develop this report summarizing the content of the symposium and putting it in the broader context of the current state of the field to share with the scientific community. We note that the references cited here include conference abstracts corresponding to the symposium poster presentations.

Multi-armed Bandit Experimental Design: Online Decision-Making and Adaptive Inference

Multi-armed bandit has been well known for its efficiency in online decision-making in terms of minimizing the loss of the participants’ welfare during experiments (i.e., the regret). In clinical trials and many other scenarios, the statistical power of inferring the treatment effects (i.e., the gaps between the mean outcomes of different arms) is also crucial. Nevertheless, minimizing the regret entails harming the statistical power of estimating the treatment effect because the observations from some arms can be limited. In this paper, we investigate the trade-off between efficiency and statistical power by casting the multi-armed bandit experimental design into a minimax multi-objective optimization problem. We introduce the concept of Pareto optimality to mathematically characterize the situation in which neither the statistical power nor the efficiency can be improved without degrading the other. We derive a useful sufficient and necessary condition for the Pareto optimal solutions to the minimax multi-objective optimization problem. Additionally, we design an effective Pareto optimal multi-armed bandit experiment that can be tailored to different levels of the trade-off between the two objectives. Moreover, we extend the design and analysis to the setting where the outcome of each arm consists of an adversarial baseline reward and a stochastic treatment effect, demonstrating the robustness of our design. Finally, motivated by clinical trials, we examine the setting where the employed experiment must split the experimental units into a small number of batches, and we propose a flexible Pareto optimal design. This paper was accepted by George Shanthikumar, data science. Funding: The authors thank the Massachusetts Institute of Technology (MIT)-IBM partnership in Artificial Intelligence and the MIT Data Science Laboratory for support. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00492 .

From performative to predictive-performative design: A review of current trends in performance-based design and their impact on urbanism

In recent years, the impact of artificial intelligence (AI) has brought about a new paradigm shift in performance-based design, which we will call Predictive-Performative Design (PPD). This paper presents an overview of this new paradigm, as well as the inflection point at which interest among urban designers in this type of model began to emerge, resulting in what we will call Predictive-Performative Urban Design (PPUD). Our discussion of Predictive-Performative Urban Design (PPUD) is based on an extensive literature review and observation of experiences at the Massachusetts Institute of Technology (MIT) in Boston and the Austrian Institute of Technology (AIT) in Vienna. Finally, this paper examines how this new paradigm shift in performance-based design can change contemporary urban design and planning practices. We also identify research questions for future development in this field.

Marvin Minsky: The Visionary Behind the Confocal Microscope and the Father of Artificial Intelligence.

Marvin Lee Minsky, a pioneering figure in artificial intelligence (AI), was born on August 9, 1927, in the city of New York. His father, Henry, was an eye surgeon, while his mother, Fannie, was involved in Zionist activities. Minsky was instrumental in establishing the AI laboratory at the Massachusetts Institute of Technology (MIT) and authored numerous influential works on AI and philosophy. Among his many accolades was the prestigious Turing Award, which he received in 1969. Minsky was an exceptionally brilliant, creative, and charismatic individual, whose intellect and imagination were evident in his work. His ideas played a pivotal role in shaping the computer revolution that has profoundly transformed modern life in recent decades. In 1957, Minsky patented the confocal microscope, a significant invention that was a forerunner to today's confocal laser scanning microscopes. This innovation significantly improved image clarity and contrast by focusing light on a specific depth within a sample, unlike traditional microscopes, which allow light to penetrate deeper layers. The influence of his contributions continues to resonate in contemporary efforts to develop intelligent machines, one of the most thrilling and significant undertakings of our time.

Design of ECG Circuit and Patient Remote Monitoring System Using MQTT Protocol for ECG Signals

In the healthcare sector, leveraging the Internet of Things (IoT) brings significant advantages, especially in remote monitoring of patients' health using electrocardiogram (ECG) signals. This study employs IoT technology to enable remote ECG monitoring, utilizing the MQTT (Message Queuing Telemetry Transport) protocol to establish a web server. The dedicated measuring device integrates the ADAS1000-3 IC with ESP32 for real-time ECG signal acquisition. In this study, we utilize the Pan-Tompkins algorithm to extract QRS complexes from electrocardiographic signals, count heartbeats, and early detect cardiovascular abnormalities. This solution was tested on a sample dataset from the MIT-BIH (Massachusetts Institute of Technology - Beth Israel Deaconess Medical Center) database. Finally, the article proposes to design and develop a device using advanced IC technologies such as IC ADAS1000-3 combined with ESP32. This device will be designed to meet the requirements of real-time processing and data transmission via webserver.

Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries

This study addresses the crucial challenge of monitoring the State of Health (SOH) of Lithium-Ion Batteries (LIBs) in response to the escalating demand for renewable energy systems and the imperative to reduce CO2 emissions. The research introduces deep learning (DL) models, namely Encoder-Long Short-Term Memory (E-LSTM) and Convolutional Neural Network-LSTM (CNN–LSTM), each designed to forecast battery SOH. E-LSTM integrates an encoder for dimensionality reduction and an LSTM model to capture data dependencies. CNN–LSTM, on the other hand, employs CNN layers for encoding followed by LSTM layers for precise SOH estimation. Significantly, we prioritize model explainability by employing a game-theoretic approach known as SHapley Additive exPlanations (SHAP) to elucidate the output of our models. Furthermore, a method based on pattern mining was developed, synergizing with the model, to identify patterns contributing to abnormal SOH decrease. These insights are presented through informative plots. The proposed approach relies on the battery dataset from the Massachusetts Institute of Technology (MIT) and showcases promising results in accurately estimating SOH values, in which the E-LSTM model outperformed the CNN–LSTM model with a Mean Absolute Error (MAE) of less than 1%.

Exploring Cell Designs for Redox Flow Batteries with Flowable Suspension-Based Electrolytes

Integrating flowable suspension-based electrolytes (FSEs) in redox flow batteries (RFBs) may expand the materials design space and unlock new pathways to cost-competitive stationary energy storage.1 In this approach, conductive particles are suspended in electrolyte solutions, forming electronically conductive networks that shuttle charge to and from the reaction volume, potentially replacing stationary porous electrode with RFB stacks. This configuration offers several potential benefits including access to extremely high surface areas for charge-transfer reactions, plating/stripping on a mobile solid phase, and the use of insoluble (or sparingly soluble) active species.2 However, FSEs often display shear-dependent properties that impact electrochemical and fluid dynamic performance and challenge compatibility with current electrochemical flow cells which are largely designed to support low-viscosity Newtonian fluids.1,3,4 As such, there is a need to consider alternate cell designs that may be better suited for FSEs.We recently developed a continuum-based model and investigated how the performance of an RFB cell with an FSE changes as a function of material properties, cell dimensions, and operating conditions.4 In this presentation, we will use this modeling framework to explore three different cell configurations: fixed parallel plates, parallel plates with a linearly moving wall, and rotating concentric cylindrical surfaces. The distinct geometries and operational environments associated with each cell design result in different fluid flow and charge transport profiles which, in turn, alter the performance. We will compare and contrast fluid dynamic and electrochemical features of the three different configurations, with a focus on establishing operating envelopes and identifying which may best support FSEs. Ultimately, we aim to extend the design space considered for RFBs with FSEs as well as to better connect component material properties to cell engineering. Acknowledgments This work was supported by bridge funds from the Massachusetts Institute of Technology. References F. Savinell, and J. S. Wainright, The Electrochemical Society Interface 32, 61 (2023). Parant et. al., Carbon, 119, pp.10-20 (2017). C. Hoyt et. al., Chemical Engineering Science144 (2016): 288-297.M. V. Majji et. al., Journal of The Electrochemical Society, 170(5), p.050532, (2023).

Wormhole geometries supported by strange quark matter and phantom-like generalized Chaplygin gas within [formula omitted] gravity

A crucial aspect of wormhole (WH) physics is the inclusion of exotic matter, which requires violating the null energy condition. Here, we explore the potential for WHs to be sustained by quark matter under conditions of extreme density along with the phantom-like generalized cosmic Chaplygin gas (GCCG) in symmetric teleparallel gravity. Theoretical and experimental studies on baryon structures indicate that strange quark matter, composed of u (up), d (down), and s (strange) quarks, represents the most energy-efficient form of baryonic matter. Drawing from these theoretical insights, we use the Massachusetts Institute of Technology (MIT) bag model equation of state to characterize ordinary quark matter. By formulating specific configurations for the bag parameter, we develop several WH models corresponding to different shape functions for the isotropic and anisotropic cases. Our analysis strongly suggests that an isotropic WH is not theoretically possible. Furthermore, we investigate traversable WH solutions utilizing a phantom-like GCCG, examining their feasibility. This equation of state, capable of violating the null energy condition, can elucidate late-time cosmic acceleration through various beneficial parameters. In this framework, we derive WH solutions for both constant and variable redshift functions. We have employed the volume integral quantifier (VIQ) method for both studies to assess the quantity of exotic matter. Furthermore, we have done the equilibrium analysis through the Tolman–Oppenheimer–Volkoff (TOV) equation, which supports the viability of our constructed WH model.

Progress in Ecosystem Services Research

The definition of ecosystem services has evolved and developed as the purpose and target audience of research has changed. The earliest analogue of 'ecosystem services', the concept of 'environmental service functions', appeared in the 1970 SCEP report published by the Massachusetts Institute of Technology (MIT). The concept of "ecosystem services" was formally introduced by Ehrlich in 1981, when Daily proposed that ecosystem services are "the conditions and processes through which natural ecosystems and their constituent species satisfy and sustain human life activities", which was the first definition of ecosystem services. Daily proposed that ecosystem services are "natural ecosystems and their constituent species that satisfy and sustain human life activities through ecosystem conditions and processes", which was the first time the concept of "ecosystem services" was defined, and further elaborated on the difference between ecosystem service products and ecosystem goods. However, Costanza added ecosystem products to the definition of ecosystem services, and Daily and Costanza launched studies on the valuation of ecosystem services, which accelerated the progress of ecosystem services research. At the beginning of the 21st century, the MA report defined the concept of "ecosystem services" as "the benefits that humans derive from ecosystems", which was recognised by the majority of the population and widely used, and it is also the most widely accepted definition up to the present time, which has ushered in the development of research on ecosystem services. This definition was recognised and widely used by most people, and is the most widely accepted definition to date, leading to a boom in research on ecosystem services.

Geographic Trends in Ophthalmology Resident Physician Compensation and Cost-of-Living Expenses

Given that resident physician financial strain has been associated with poor outcomes, objective metrics to forecast financial well-being may be useful to (1) applicants when evaluating ophthalmology residency programs and (2) programs when determining resident benefits. To determine and compare the relative value of ophthalmology resident stipends plus benefits when adjusted for cost-of-living expenses and to analyze program characteristics associated with greater resident net incomes. In this cross-sectional study, the American Medical Association's Fellowship and Residency Electronic Interactive Database was used to identify US Accreditation Council for Graduate Medical Education-accredited ophthalmology residency programs. Resident physician stipends and stipends plus benefits as well as residency program characteristics from the 2023-2024 academic year were noted for all eligible programs. The Massachusetts Institute of Technology's Living Wage Calculator's required annual income (RAI) was selected as a surrogate to approximate cost-of-living expenses. Residency program characteristics, including affiliation, size, ranking, presence of housing benefit, and training year. The primary outcome was the annual stipend plus benefits income surplus (SPBIS) for each residency program, defined as the resident's stipend plus benefits (SPB) minus the RAI for the county in which the residency program is located. Secondary outcomes included income surplus variation by program characteristics. Of 116 ophthalmology residency programs analyzed, 37 (31.9%) were located in the Northeast, 36 (31.0%) in the South, 29 (25.0%) in the Midwest, and 14 (12.1%) in the West. The mean (SD) postgraduate year 1 resident annual SPB was $65 397 ($8205), and the median (IQR) was $63 986 ($59 992-$69 698). After adjusting for the cost of living, the mean (SD) SPBIS was $27 459 ($5734) and the median (IQR) was $27 380 ($23 625-$31 796). Annual cost-of-living expenses varied by as much as $8628 (95% CI, $6310-$10 947) and SPBIS varied by as much as $6283 (95% CI, $3367-$9198) between regions. Resident SPB increased by a mean (SD) of 3.97% (0.98%) for each subsequent training year (range, 0.93%-7.26%). Annual SPBIS increased by a mean (SD) of 9.48% (3.60%) for each subsequent training year. After adjusting for living costs, intraregional and interregional differences in SPBIS among ophthalmology residents can vary by thousands of dollars, impacting residents' financial security. Further discussion regarding compensation may lead to innovative strategies that aim to improve resident well-being and performance.

A Kind of Chemistry

The author explains that 'A kind of chemistry' was the way the authors of The Gifts of Comus (1739) described the new cookery of the European courts, a cookery that had begun to take shape a century earlier with Pierre de la Varenne's Le Cuisinier François (1651). This essay takes their metaphor at face value. It was indeed chemistry, a chemical cookery inspired by a radical group of chemical physicians who treated and advised the aristocracies of northern Europe. The author thanks Alan Davidson who accepted a preliminary sketch of this essay for 'A Mini-Symposium on New Publications' PPC 53 (1996); 47-50, and the organizers and audiences of the Horning Lecture Series in History of Science at Oregon State University and Dibner Lectures in History of Science and Technology, Massachusetts Institute of Technology who bore with successive versions. The present version won the Sophie Coe Prize 1998.

The Saltzman–Lorenz Exchange in 1961: Bridge to Chaos Theory

Abstract A single-day meeting between two theoretical meteorologists took place in 1961 at the Travelers Research Center (TRC) in Hartford, Connecticut. The two scientists were Barry Saltzman and Edward Lorenz, former proteges of V. P. Starr at Massachusetts Institute of Technology (MIT). Several years before this meeting, Lorenz discovered the following profound result: extended-range weather forecasting was not feasible in the presence of slight errors in initial conditions. The model used was the geostrophic form of a two-level baroclinic model with 12 spectral variables. These results were presented a year earlier at the first symposium on numerical weather prediction (NWP) in Tokyo, Japan, and met with some skepticism from the NWP elite, dynamical meteorologists, and pioneers in operational NWP. Lorenz held faint hope that Saltzman’s recently developed model of Rayleigh–Bénard convection would produce the profound result found earlier. One of the numerical experiments executed that eventful day with Saltzman’s seven-mode truncated spectral model produced an unexpected result: inability of the model’s seven variables to settle down and approach a steady state. This occurred when the key parameter, the Rayleigh number, assumed an especially large value, one associated with turbulent convection. And further experimentation with the case delivered the sought-after result that Lorenz had found earlier and now convincingly found with a simpler model. It built the bridge to chaos theory. The pathway to this exceptional result is explored by revisiting Saltzman’s and Lorenz’s mentorship under V. P. Starr, the authors’ interview with Lorenz in 2002 that complements information in Lorenz’s scientific autobiography, and the authors’ published perspective on Salzman’s seven-mode model.

Detection of congestive heart failure based on Gramian angular field and two-dimensional symbolic phase permutation entropy

Congestive heart failure (CHF) is a serious threat to human health. Electrocardiogram (ECG) signals have been proven to be useful in the detection of CHF. However, the low amplitude and short duration of the ECG signals, as well as the superimposed noise during the real-time acquisition of the signal, seriously affect the CHF detection. To improve the detection rate of CHF, this paper proposes a congestive heart failure detection method based on Gramian angular field (GAF) and two-dimensional symbolic phase permutation entropy (SPPE2D). The significant advantage of this method is that it reduces the sensitivity to noise, and good performance can be obtained without denoising using raw ECG signals. We segment the original ECG signals into 2 s non-overlapping segments and convert them into images using the GAF method. Then, the SPPE2D algorithm is proposed to measure the complexity between normal sinus rhythm (NSR) and CHF, and analyze the anti-noise performance of the algorithm. Finally, the SPPE2D features of GAF images are computed and input into a support vector machine (SVM) for CHF detection. Classification accuracy on the Massachusetts Institute of Technology − Beth Israel Hospital Normal Sinus Rhythm Database and Beth Israel Deaconess Medical Center Congestive Heart Failure Database is 99.59%, sensitivity is 99.42%, specificity is 99.80%, and F1-score is 99.62%. The accuracy of detecting CHF reach more than 97.75% in the other five CHF databases. The experimental results show that the method based on GAF and SPPE2D can effectively detect CHF by images of ECG signals and has good robustness. CHF can be detected using the 2 s sample lengths of ECG signals recording with high sensitivity, giving clinicians ample time to treat patients with CHF.

Automation and the Labour Market: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2002-2022)

This study uses bibliometric analysis to integrate, synthesise, and expand the knowledge regarding the relationship between automation and the labour market. In this paper, the authors examined the Web of Science (WoS) core collection database for articles published between 2002 and 2022. The co-citation, co-occurrence, and publication patterns were analysed using VOSviewer 1.6.19. The study comprised 287 papers, with the United States having the highest percentage of research publications, followed by Germany, China, and the United Kingdom. The institutional study shows that the Massachusetts Institute of Technology, Boston University, National Bureau of Economic Research, Harvard University, and the University of London are all leading institutions in this field of study and have more than 100 links. The co-occurrence of keywords revealed “automation”, “employment”, “growth”, and “jobs” as the most discussed terms. The paper concludes by identifying gaps in the literature and proposing possibilities for future studies.

Universities and Artificial Intelligence

The general objective of the research was to determine the advances related to the universities and artificial intelligence. The specific objectives of the research are to identify the universities that invest the most in artificial intelligence and the best global universities for artificial intelligence. Methodology, in this research, 42 documents have been selected, carried out in the period 2018 – 2024; including: scientific articles, review articles and information from websites of recognized organizations. Results, AI is becoming increasingly important in all areas of human activity, which is why standards are being established for its proper use. Education is an important aspect in the development of people, which is why it must be invested at an international level. Innovation is very important for any type of organization and especially for universities. Conclusions, artificial intelligence is gaining more followers in university higher education, due to its important contribution. In addition, some principles have been formulated to guide its development. The top global university is the MIT – Massachusetts Institute of Technology (The United States of America); the top university in Latin America and the Caribbean is the Universidade de São Paulo (Brazil); the top university in Europe is the University of Oxford (United Kingdom); the best university in Asia is the Tsinghua University (China); the top university in Africa is the University of Cape Town (South Africa); the top university in Oceania is the University of Melbourne (Australia). The university that invests the most in artificial intelligence was Johns Hopkins University. The best global universities for artificial intelligence were Tsinghua University, Nanyang Technological University, Chinese University of Hong Kong, Stanford University, University of California – Berkeley and Massachusetts Institute of Technology.

MIT and the Origins of the Modern Theory of Asset Pricing

This article argues that it was no coincidence that one of the places in which the modern theory of finance was developed was the Massachusetts Institute of Technology. Not only had it attracted Paul Samuelson, who had a long-standing interest in the problem, but its academic culture as a science-focused engineering school that fostered a competitive atmosphere and close relations between its economics department and business school was conducive to the development of such theories.