Industry and commerce
AI in production, logistics, resources and finance.
4 milestones
Facebook AI Research Publishes GrokNet, a Unified Computer Vision Model for Commerce Understanding
In 2020, researchers at Facebook AI published GrokNet, a unified deep learning system for product understanding in commerce settings, capable of recognising object categories, attributes such as colour and material, and brand information from product images at scale across Facebook Shops.
Facebook Deploys AI-Based Photo and Video Integrity Systems to Detect Nudity and Graphic Violence at Scale
From at least 2016, Facebook applied convolutional neural network-based computer vision systems to automatically detect nudity and graphic violence across photos and videos uploaded to its platform, processing billions of pieces of content as part of its scaled content integrity infrastructure.
Netflix Prize Competition Launched by Netflix
In October 2006, Netflix launched the Netflix Prize, an open competition offering $1,000,000 USD to any team that could improve the accuracy of the company's Cinematch recommendation algorithm by at least 10% on a supplied ratings dataset, measured by root mean squared error.
XCON (R1) Expert System Developed by John P. McDermott at Carnegie Mellon University
John P. McDermott at Carnegie Mellon University developed R1 (later named XCON), a rule-based expert system built in OPS5, in collaboration with Digital Equipment Corporation. Deployed operationally by DEC in 1980, it automatically configured VAX-11/780 computer orders, replacing a labour-intensive manual process.