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Machine vision was really born on the assembly line, designed as a system of existing technologies and machinery that, combined, “watch” the production process and recognize when flaws occur.
This week in AI and Machine Learning: Talking to animals with help from machine learning, object detection research from Meta, and more.
Concession and retail sales are a particular area where vision AI can make a huge impact for sports fans and other stadium patrons. With vision AI technology and a rich stream of visual data, spectators can expect a next-generation experience.
Deep learning sits within the machine learning subset of AI technologies. Machine learning systems are designed to educate themselves and adapt with or without human intervention. ML systems attempt to learn the same way humans do, through trial and error. Targeted ads, recommended products, and predictive search terms are all the result of successful machine learning.
This week in AI & Machine Learning: An AI to predict the shape of every imaginable protein, Google’s new & improved digital assistant, and more.
This week in AI & Machine Learning: The next stage of development for DALL-E 2, ML for particle accelerators, and more.
Organizations can’t serve their customers with maximum efficacy unless they’ve got a deep repository of insights into customer behavior and preferences. Custom-built computer vision models like the ones Plainsight develops and deploys can help, empowering businesses to see more and make visual data (like video footage) into a driver of business innovation.
It was only a matter of time before the stats-obsessed sport and computer vision joined forces to create an unprecedented understanding of America’s favorite game.
Data Annotation for Computer Vision
Feb 8th 2022 | Labeling Tutorial
Detecting Unwanted & Hazardous Objects
Oct 26th 2021 | Computer Vision
Dew-able AI: Solving the Mountain Dew Super Bowl Challenge
Feb 13th 2021 | Computer Vision