TOMRA Recycling eBook chronicles 30 years of AI in recycling
Imitating human learning, deep learning shows promise to find solutions to sorting challenges where none currently exist
Deep learning is on the rise in the recycling industry, according to the new eBook, "Harnessing the Potential of AI," from global sensor-based sorting specialist, TOMRA Sorting, Inc. Dispelling a common misconception about artificial intelligence (AI), this latest TOMRA eBook chronicles the long, 30-year history and contributions AI has already made to the recycling industry, as well the bright future that lies ahead.
"In the months and years to come, those in the recycling industry will hear much more about deep learning, a powerful component of Artificial Intelligence," said Daniel Bender, technical manager, deep learning for TOMRA Sorting. "Deep learning shows the promise of providing solutions for the industry's most complex sorting challenges. Recycling operations at the forefront of using AI to sort material stand to gain a significant advantage over companies who do not."
The free-to-download eBook goes into detail of how deep learning works and learns to identify materials to resolve problems not solvable with classical machine learning. The book claims deep learned holds the key for achieving more consistent detection rates than manual sorting, elevating material purity while lowering costs.
To download a copy of the new TOMRA eBook on AI and Deep learning, visit https://solutions.tomra.com/ai-ebook.
TOMRA Sorting Recycling designs and manufactures sensor-based sorting technologies for the global recycling and waste management industry. According to the company, it is responsible for developing the world's first high capacity near infrared (NIR) sensor for waste sorting applications, with over 5,500 sorting systems installed in almost 80 countries worldwide.
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