This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove 2028 Remove Continuous Learning Remove Explainability
article thumbnail

SingularityNET bets on supercomputer network to deliver AGI

AI News

AUGUST 13, 2024

. “While the novel neural-symbolic AI approaches developed by the SingularityNET AI team decrease the need for data, processing and energy somewhat relative to standard deep neural nets, we still need significant supercomputing facilities,” SingularityNET CEO Ben Goertzel explained to LiveScience in a recent written statement.

Neural Network 269
Neural Network Big Data Artificial Intelligence Artificial Intelligence 269
article thumbnail

Breaking down the advantages and disadvantages of artificial intelligence

IBM Journey to AI blog

JANUARY 10, 2024

This lack of transparency can be problematic in industries that prioritize process and decision-making explainability (like healthcare and finance). Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data.

Artificial Intelligence 236
Artificial Intelligence Artificial Intelligence Neural Network Algorithm 236
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 15,000+ professionals by signing up for our newsletter

About
Webinars
About
Editions
Webinars
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024