Nov. 27, 2023, 9:45 p.m. |

News on Artificial Intelligence and Machine Learning techxplore.com

Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)—dubbed "AlexNet" after its creator Alex Krizhevsky—that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.

ai image alex alexnet cnn cnns computer computer sciences convolutional neural network fields image image recognition image recognition technology images network neural network recognition scientists technology through toronto university university of toronto

More from techxplore.com / News on Artificial Intelligence and Machine Learning

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Head of Data Governance - Vice President

@ iCapital | New York City, United States

Analytics Engineer / Data Analyst (Intermediate/Senior)

@ Employment Hero | Ho Chi Minh City, Ho Chi Minh City, Vietnam - Remote

Senior Customer Data Strategy Manager (Remote, San Francisco)

@ Dynatrace | San Francisco, CA, United States

Software Developer - AI/Machine Learning

@ ICF | Nationwide Remote Office (US99)

Senior Data Science Manager - Logistics, Rider (all genders)

@ Delivery Hero | Berlin, Germany