Londonchiropracter.com

This domain is available to be leased

Menu
Menu

MIT study: The US increasingly has immigrants to thank for its algorithmic dominance

Posted on November 19, 2020 by admin

A new MIT CSAIL study has revealed that while the US still leads the world in the development of algorithms, immigrants working at the country’s institutions are increasingly responsible for the innovations.AI

The research team reported the findings after combing through 57 textbooks and more than 1,000 research papers to create a list of 180 algorithms that were either the first to solve particular problems or had improved existing fundamental methods. They call their collection the “Algorithmic Commons.”

The team then extracted information about the institutions and birth countries of the authors of the papers. They found that around two-thirds of the contributions were made at US institutions, but that in the last 30 years more than three-quarters of them have come from foreign-born researchers.

Credit: MIT CSAIL
People born outside the US have increasingly contributed to fundamental algorithms in recent decades.

Their analysis suggests a country’s wealth is the key driving force behind its algorithmic output. On average, a $10,000 jump in GDP per capita produced a bigger surge in contributions than a population increase of 100 million people.

[Read: Neural’s market outlook for artificial intelligence in 2021 and beyond]

“There’s a danger that algorithm development may suffer from the problem of the ‘lost Einsteins,’ where those with natural talent in under-developed countries are unable to reach their full potential because of a lack of opportunity,” said study co-author Neil Thompson, a research scientist at MIT CSAIL.

Credit: MIT CSAIL
Residents of North America and Europe contributed more than three-quarters of the algorithms, despite making up only 15% of the global population.

The research also shows the importance of federal funding for university research. Some 82% of the algorithms came from nonprofits and public institutions, compared to just 18% from private companies.

 “It is much more efficient for society to have a university researcher discover a new algorithm and share it with the world than to have each company invent it separately,” said Thompson.

Credit: MIT CSAIL
The companies that have contributed the most are IBM, Bell Labs, and RAND Corporation, while the top universities are Stanford, MIT, and UC Berkeley.

The study comes amid concerns that Donald Trump‘s anti-immigrant policies are driving global tech talent to other nations  — and hopes that his successor will reverse the rules.

“If we want the United States to continue to be ground zero for computer science, we need to make sure that our policies make it easy to continue to bring international researchers to our institutions,” said Thompson.

Published November 19, 2020 — 16:21 UTC

Source

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • LG Electronics and Nvidia are in talks on robotics, AI data centres, and mobility
  • Sequoia is giving away the hardware for an AI project it cannot invest in. That is the point.
  • Trump says Anthropic Pentagon deal is ‘possible’, weeks after blacklisting the company as a national security risk
  • Samsung and IKEA just made the $6 smart home real, and your TV is already the hub
  • OpenAI recruits Cognizant and CGI to take Codex into enterprise software shops worldwide

Recent Comments

    Archives

    • April 2026
    • March 2026
    • February 2026
    • January 2026
    • December 2025
    • September 2025
    • August 2025
    • July 2025
    • June 2025
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020

    Categories

    • Uncategorized

    Meta

    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    ©2026 Londonchiropracter.com | Design: Newspaperly WordPress Theme