The New York Times recently partnered with Google in an attempt to digitize historic photos gathered by the newspaper over the years. With an estimated five to seven million photos, Google's AI will have its work cut out for it, as it has to digitize and catalog each photo, as well as the information about when it was published and why. Google and The New York Times' efforts to digitize historic photos serve as an initiative to preserve visual history as some of the photos date back as late as the 19th century and contain a tremendous amount of historical value.
The AI employed for this task will use its machine vision to scan each photo, as well as the handwritten and typed notes affixed to each image. The AI will also categorize the image based on semantic information it gathers from each photo.
AI-Driven History Initiatives
Google and The New York Times Will Digitize Historic Photos
Trend Themes
1. AI-driven Photo Digitization - The use of AI in digitizing historic photos for preservation purposes.
2. Machine Vision for Image Categorization - The use of machine vision to categorize images based on semantic information gathered from each photo.
3. Preserving Visual History Through Technology - The use of digital technology to preserve visual history and make it accessible for future generations.
Industry Implications
1. Media and Publishing - The media and publishing industry can utilize AI to digitize and organize their historical archives.
2. Artificial Intelligence - The AI industry can continue to develop and improve upon machine vision and natural language processing technologies to better preserve history through digitization and categorization.
3. Libraries and Archives - The library and archive industry can leverage AI to digitize and organize their collections, making them more accessible to the public.