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Innovation and Entrepreneurship (I&E)

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Assisting Olympic athletes in enhancing their performance, step by step.

Artificial Intelligence, Community, Computer science and technology, Innovation and Entrepreneurship (I&E), Materials science and engineering, MIT.nano, Nanoscience and nanotechnology, Sports and fitness, Startups, Technology and society, UncategorizedJuly 31, 202431Views0Likes0Comments
MIT startup Striv has developed tactile sensing technology that inserts into shoes, effectively tracking force, movement, and form via algorithms that interpret tactile data. The developer, Axl Chen, initially applied his work in a virtual reality gaming context but pivoted to athletics, and several professional athletes, including US marathoner Clayton Young and Olympian Damar Forbes,…

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Is technology beneficial or detrimental to job opportunities?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202432Views0Likes0Comments
New research by MIT economist David Autor finds that since 1980, technology has replaced more U.S. jobs than it has created. It is a shift Autor attributes to an increased rate of automation and a slower rate of augmentation. Augmentation represents scenarios where technology drives the creation of new tasks, ultimately generating new job roles.…

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Extensive analysis of U.S. census information has revealed that much of the employment is in new roles.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202431Views0Likes0Comments
A new study led by MIT economist David Autor reveals that most work in the U.S. today is new work, with a majority of jobs being in occupations that have only emerged widely since 1940. The study found that about six out of ten jobs people are doing currently did not exist in 1940, which…

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Extensive examination of U.S. census data reveals that the majority of labor involves fresh tasks.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 11, 202429Views0Likes0Comments
New research from MIT suggests that approximately 60% of current jobs did not exist in 1940. Led by MIT economist David Autor, the study examined new job creation in the US from 1940 to 2018. The researchers found that many new jobs were created by technological advancements, although some originated from consumer demand, such as…

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Does technology aid in boosting job opportunities or does it harm them?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 10, 202426Views0Likes0Comments
A detailed study by MIT economist David Autor and research team suggests that although new technology innovations have created new jobs since 1940, they have also replaced more jobs than created, particularly since 1980s. The study analyzed tens of thousands of U.S. census job categories in combination with an examination of the text of U.S.…

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The comprehensive analysis of U.S. census data highlights that the majority of employment opportunities are newly created.

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 10, 202424Views0Likes0Comments
New research led by David Autor, Ford Professor of Economics at MIT, suggests that the jobs landscape in the US has been largely shaped by the emergence of occupations that did not necessarily exist pre-1940. The study, which covers employment developments between 1940 to 2018, showed that about six of every 10 jobs in existence…

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Is technology beneficial or detrimental to employment?

Artificial Intelligence, Economics, History of science, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Manufacturing, Research, School of Humanities Arts and Social Sciences, UncategorizedJuly 9, 202428Views0Likes0Comments
An innovative research paper on job creation in the U.S. since 1940 shows that technology, particularly since 1980, has replaced more jobs than it has generated. The study was led by MIT economist David Autor, Ford Professor of Economics. Entitled “New Frontiers: The Origins and Content of New Work, 1940-2018,” the paper marks a significant…

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Improving software testing through the application of generative artificial intelligence.

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 17, 202434Views0Likes0Comments
Generative AI, renowned for its capability to autonomously produce text and images, plays a crucial role in creating realistic synthetic data from diverse scenarios, helping organizations optimize operations. A notable initiative in the field is the Synthetic Data Vault (SDV), developed by DataCebo, an MIT spinoff. This generative system aids organizations in creating synthetic data…

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Improving software testing through the utilization of generative AI

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 16, 202433Views0Likes0Comments
Generative AI has vast potential in creating synthetic data that can mimic real-world scenarios, which in turn can aid organizations in improving their operations. In line with this, DataCebo, a spinout from MIT, has developed a generative software system referred to as the Synthetic Data Vault (SDV), which has been employed by thousands of data…

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Improving software testing through the application of generative AI.

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 16, 202436Views0Likes0Comments
Generative AI, which can create text and images, is becoming an essential tool in today's data-driven society. It's now being utilized to produce realistic synthetic data, which can effectively solve problems where real data is limited or sensitive. For the past three years, DataCebo, an MIT spinoff, has been offering a Synthetic Data Vault (SDV)…

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Improving software testing by utilizing generative AI

Alumni/ae, Artificial Intelligence, Data, Electrical Engineering & Computer Science (eecs), Faculty, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, Startups, UncategorizedJune 15, 202435Views0Likes0Comments
Generative AI, which can create text and images, also has extensive potential in creating realistic synthetic data for various applications. Being able to produce synthetic data can assist organizations, particularly in situations where real-world data is lacking or sensitive. For instance, it can help in patient care, rerouting of flights due to adverse weather, or…

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