Aug. 31, 2023, 6:28 p.m. |

Robotics Research News -- ScienceDaily www.sciencedaily.com

An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.

artificial artificial intelligence diverse diversity intelligence look network networks neural network neural networks performance study tasks

Senior AI/ML Developer

@ Lemon.io | Remote

Earthquake Forecasting Post-doc in ML at the USGS

@ U. S. Geological Survey | Remote, US

AI Product Manager

@ Uniphore | New York City

Senior Data Analyst, Marketing & Enrollment

@ Adtalem Global Education | Remote, REMOTE, United States

Data Analyst

@ FinClear | Melbourne, Australia

Senior Data Analyst - Subsurface

@ Verisk | Astana, Kazakhstan