Dispelling a common misconception about 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,” says 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 learning holds the key for achieving more consistent detection rates than manual sorting, elevating material purity while lowering costs.Click here to download the E-bookClick here for related articles and news
Sign up for Separation and Sorting Technology E-Updates
Recent Separation and Sorting Technology e-newsletters
Read our last “Separation and Sorting Technology” e-newsletter campaigns here:
TOMRA Sorting Solutions’ pioneering industry expertise continues to result in state-of-the-art machines and exceptional service within the waste and metal recycling industries. Our goal: support our customers to optimize their sustainability and operational value. Our method: use our established and renowned industry ...