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Transforming Plastic Pollution Using Blockchain
File Type: Document, Infographic
https://www.blockchainresearchinstitute.org/project/transforming-plastic-pollution-using-blockchain/
Aug 13, 2019 - This research highlights the findings and recommendations of The Coca-Cola Company’s study of single-use plastic packaging waste. The author makes the case that blockchain technology has potential for addressing the challenges of plastic waste in our environment. Specifically, distributed ledgers, combined with global positioning and microtagging, provide a mechanism for tracking plastic through the supply chain and support incentive systems for recycling or reusing it and choosing biodegradable options. It is a must-read for executives in the consumer packaged goods industry.
How Blockchain Can Help Regulators
File Type: Document, Infographic
https://www.blockchainresearchinstitute.org/project/how-blockchain-can-help-regulators/
Dec 07, 2018 - In collaboration with Canadian Food Inspection Agency and Innovation, Science, and Economic Development Canada, researcher Alan Majer of Good Robot presents the promise and potential of blockchain applied to the safety and sustainability of Canada’s food supply. He includes in-depth interviews of Emma Weston, CEO of AgriDigital, Padraig Brennan of Bord Bia, and leaders at Agri Traçabilité Québec and BLOCKstrain. Ultimately, he describes a working model of the holistic approach that other government agencies could be taking to test blockchain solutions to pressing national problems that require public-private collaboration. Le chercheu...
Distributed Artificial Intelligence
File Type: Document, Infographic
https://www.blockchainresearchinstitute.org/project/distributed-artificial-intelligence/
Mar 22, 2019 - The use of artificial intelligence is diffusing, making it one of the broadest technological revolutions ever. Blockchain technology has the unique ability to improve the reliability of AI training data and secure AI implementations through smart contracts and on-chain governance. This project examines AI, the differences among centralized, decentralized, and distributed AI, the utility of autonomous agents, and current scalability and governance challenges.
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