PaymentsJournal
No Result
View All Result
SIGN UP
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
PaymentsJournal
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
No Result
View All Result
PaymentsJournal
No Result
View All Result

MIT Argues That The Era of Deep Learning In AI May Soon End

By Tim Sloane
January 25, 2019
in Analysts Coverage, Artificial Intelligence, Emerging Payments
0
6
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
AI

AI

First, if you are interested in technology and AI and haven’t joined the MIT Technology Review email lists, do so now! To follow the hyperlinks go to the full article here. The Algorithm email I received today studied more than 16,000 papers in the arXiv library published on AI and found waves of AI technology that displace older tech:

“Hello Algorithm readers,

Almost everything you hear about artificial intelligence today is thanks to deep learning. (We’ve talked about this in the Algorithm before.) This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human skills such as our ability to see and hear. To a very narrow extent, it can even emulate our ability to reason. These capabilities now power Google’s search, Facebook’s news feed, and Netflix’s recommendation engine—and are transforming industries like health care and education.

But though deep learning has singlehandedly thrust AI into the public eye, it represents just a small blip in the history of humanity’s quest to replicate our own intelligence. When you zoom out on the whole history of the field, it’s easy to realize that it could soon be on its way out.

AI research has long been characterized by the sudden rise and fall of different techniques, and every decade has seen a heated competition between different ideas. Then, once in a while, a switch flips, and everyone in the community converges on a specific one.

I wanted to visualize these fits and starts, so I turned to one of the largest open-source databases of scientific papers, known as the arXiv (pronounced “archive”). I downloaded the abstracts of all 16,625 papers available in the “artificial intelligence” section through November 18, 2018, and tracked the words mentioned through the years to see how the field has evolved.

Through my analysis, I found three major trends: a shift toward machine learning during the late 1990s and early 2000s, a rise in the popularity of neural networks beginning in the early 2010s, and the growth in reinforcement learning in the past few years.

Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group

6
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Tags: AI

    Get the Latest News and Insights Delivered Daily

    Subscribe to the PaymentsJournal Newsletter for exclusive insight and data from Javelin Strategy & Research analysts and industry professionals.

    Must Reads

    commercial card, Allpay ClearBank Prepaid Payments, wealth transfer

    How Banks Can Capture the Wealth Transfer from Boomers to Gen Z

    June 20, 2025
    embedded lending

    Embedded Lending as a Growth Strategy for ISVs—How to Maximize Revenue Potential

    June 18, 2025
    merchant ai

    Merchants Find More Use Cases for AI Amid Risks

    June 17, 2025
    prepaid payroll

    Taking the Check Out of Paycheck: The Role of Prepaid in Payroll

    June 16, 2025
    Banking-as-a-service BaaS

    Remodeling Main Street: How Community Banks Can Leverage the Banking-as-a-Service Paradigm

    June 12, 2025
    How Employee Performance Enhances the Customer Experience

    Three Strategies to Maximize Loyalty in the AI-Driven World 

    June 11, 2025
    PFM tools

    How FIs Are Cutting Through Subscription Clutter with PFM Tools

    June 10, 2025
    child identity theft

    Stranger Danger: Protecting Your Children from Identity Theft

    June 9, 2025

    Linkedin-in X-twitter
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter

    ©2024 PaymentsJournal.com |  Terms of Use | Privacy Policy

    • Commercial Payments
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    No Result
    View All Result