Organization · Other
Coalition for Sustainable AI
Materials, Waste & Circular Economy
Multimedia · needs-review
America Wastes $6+ Billion Worth Of Recyclables A Year. Can Robots And AI Help? | AI In Action
Author or publisher unknown · 2025-03-14
The United States throws away $6.5 billion worth of reusable material every year, and the recycling rate has remained flat for over a decade. Now, tech companies are using artificial intelligence and robotics to make the process safer, more efficient, and more common. But can they really raise the recycling rate in a country with more than 9,000 recycling programs?
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Author unknown. 2025-03-14. America Wastes $6+ Billion Worth Of Recyclables A Year. Can Robots And AI Help? | AI In Action. https://www.youtube.com/watch?v=HUW2WIBVUJk (AI & Environment Resource Hub; record video-070; collection snapshot 2026-09-15).
Classification and context
Included in the original Multimedia collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
lifecycle
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orientation
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- Author or creator
- Unknown or not supplied
- Publisher
- Unknown or not supplied
- Publication date
- 2025-03-14
- Date precision
- day
- Geographic scope
- Unknown
- Language
- unknown
- Peer review
- unknown
- Source status
- link-reachable-metadata-unconfirmed
- Last verified
- Not yet verified
- Snapshot import
- 2026-09-06
- Legacy domain
- Sustainable Computing & AI Footprint
- Legacy subdomain
- Unknown or not supplied
Provenance and review
Source sheet: Multimedia · Row 74 · Original ID: video-070.
Formats and evidentiary standards vary; evaluate each original source. Source link reachable · checked 2026-09-15. Metadata not yet corroborated. The import date is not the original date added.
Suggest a correction for this record →Related through shared environmental topics
Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.
Shared topics: Cross-cutting sustainability; Materials and critical minerals; E-waste and circularity
Shared topics: Cross-cutting sustainability; Materials and critical minerals; E-waste and circularity
Podcast · 2025-06-19
The Role of AI in Sustainable Transport
In this episode, Stephanie McLarty speaks with Rich Savoie, CEO of Adiona Tech, about the importance of sustainable logistics and the role of AI in optimizing transport emissions. They discuss a circular pilot project in Australia focused on recycling champagne corks and the challenges faced in the logistics of recycling. Rich shares insights on the significance of commercial transport emissions, the lessons learned from the pilot, and how AI can help improve supply chain efficiency. The conversation emphasizes the need for businesses to engage CFOs in sustainability initiatives and the urgency of taking action towards greener logistics.
Shared topics: Cross-cutting sustainability; Materials and critical minerals; E-waste and circularity
Scientific Paper · 2025-07-04
Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce
This research explores how artificial intelligence (AI) can be leveraged to optimize packaging design, reduce operational costs, and enhance sustainability in e-commerce. As packaging waste and shipping inefficiencies grow alongside global online retail demand, traditional methods for determining box size, material use, and logistics planning have become economically and environmentally inadequate.
Shared topics: Materials and critical minerals; E-waste and circularity
Scientific Paper · 2025-05-09
A Framework to Evaluate Machine Learning Crystal Stability Predictions
Matbench Discovery is a benchmarking framework for machine learning models used in materials discovery, highlighting the importance of task-specific metrics and demonstrating that universal interatomic potentials can effectively pre-screen stable inorganic materials in high-throughput workflows.