Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
PALO ALTO, Calif. – How many times have you printed out a document on a
sheet of paper, used it once, and tossed it out? According to Xerox’s Palo
Alto Research Center (PARC), 44.5 percent of the time that’s exactly the
fate of a printed page. Print out something like directions or a memo for quick reference and then it’s off to the recycling bin.
Paper is often used for all of a few minutes and tossed out. That’s a waste of more than just the paper, but the power used to create it. It takes 204,000 joules of power to create a new sheet of paper and 114,000 joules to recycle one.
So what if you didn’t have to make new pages but could reuse the old
ones? To reduce that waste, PARC has among its many projects a reusable
paper where the printout fades away after 24 hours, allowing it to be
reused.
The demo was part of a number of technologies on display here at the
vaunted Palo Alto Research Center which has historically produced numerous breakthroughs in computer graphics, user interface, networking and other technologies.
P>In the case of the erasable paper, Xerox partnered with Xerox Research
Centre of Canada to create a paper that can be reused again and again, until
it rips, that is. The concept, as Eric Shrader, area manager for PARC’s
hardware systems laboratory described it, is similar to photoreactive
glasses that automatically darken when you go outdoors into the sun.
The paper itself is standard paper that can be recycled and will only
cost around two or three times the normal price of paper –- or about two to three cents per page instead of a penny.
This article was first published on InternetNews.com. To read the full article, click here.
RELATED NEWS AND ANALYSIS
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
-
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
-
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020