Computing and software
AI applied to software, systems and security.
12 milestones
Google Launches Google Now Predictive Information Assistant
Google launched Google Now at Google I/O on 27 June 2012, bundled with Android 4.1 (Jelly Bean). The system used contextual signals (location, search history, calendar entries and travel data) to surface unsolicited, time-relevant information cards without requiring an explicit query.
Microsoft Research Develops Real-Time Human Pose Estimation for Kinect
In 2011, Jamie Shotton and colleagues at Microsoft Research Cambridge published a method for real-time human pose estimation from a single depth image, using randomised decision forests trained on synthetic data. The technique powered the skeleton-tracking feature of Microsoft Kinect and was presented at CVPR 2011.
Machine Learning Detection of Least Significant Bit Steganography
Around 2003, researchers published work applying machine learning classifiers to the detection of least significant bit steganography in digital images, training models to distinguish unaltered carrier images from those embedding hidden data in both uncompressed and compressed formats.
Berners-Lee Proposes the Semantic Web
In 1999–2001, Tim Berners-Lee, director of the World Wide Web Consortium, outlined the Semantic Web vision, a machine-readable extension of the existing web in which data would carry explicit meaning, culminating in a widely cited May 2001 Scientific American article co-authored with James Hendler and Ora Lassila.
BackRub Web Crawler Introduces Link-Based Page Ranking at Stanford
In March 1996, Larry Page, a PhD student at Stanford University, launched the BackRub web crawler to analyse the backlink structure of the web, laying the algorithmic foundation for what would become Google's PageRank system.
RBSE: NASA's Repository-Based Software Engineering Web Spider
In 1994, researchers at NASA's Software Engineering Laboratory at Goddard Space Flight Center presented the RBSE spider, an automated web crawler built in C with Oracle and WAIS back-ends, designed to index and analyse software repositories on the World Wide Web for reuse research.
WebCrawler Developed by Brian Pinkerton at the University of Washington
In spring 1994, Brian Pinkerton at the University of Washington deployed WebCrawler, a web search engine that used an automated crawler to index the full text of web pages, enabling users to search document content rather than titles or URLs alone.
Archie FTP Search Tool Released
In 1990, Alan Emtage, then a systems administrator at McGill University, released Archie, a tool that automatically indexed filenames across publicly accessible FTP servers and allowed users to search that index by query string, creating the first searchable index of internet-hosted files.
Yann LeCun Applies Backpropagation to Handwritten ZIP Code Recognition at AT&T Bell Labs
In 1989, Yann LeCun and colleagues at AT&T Bell Labs published 'Backpropagation Applied to Handwritten Zip Code Recognition', demonstrating that a convolutional neural network trained with backpropagation could read handwritten postal ZIP codes with high accuracy, establishing a template for practical deep learning in computer vision.
Smalltalk-72 Developed at Xerox PARC by Alan Kay, Dan Ingalls, and Adele Goldberg
In 1972, Alan Kay and Dan Ingalls at Xerox PARC produced Smalltalk-72, the first working implementation of the Smalltalk language, which embodied Kay's concept of object-oriented programming in which all computation proceeds by objects sending messages to one another.
STUDENT: Daniel G. Bobrow's Natural Language Algebra Problem Solver
In 1964, Daniel G. Bobrow, then a doctoral student at MIT, completed STUDENT, a LISP-based program that read English-language algebra word problems and solved them symbolically. It was among the earliest demonstrations that a computer could parse and act on natural-language mathematical statements.
SIR (Semantic Information Retrieval) by Bertram Raphael, MIT
In 1964, Bertram Raphael at MIT completed his doctoral thesis describing SIR (Semantic Information Retrieval), a LISP program that answered English-language questions about simple relational facts by constructing an internal semantic model. It was an early demonstration that a computer could parse and reason over a restricted subset of natural language.