Tootfinder

While the rare earth market is dominated by China, Canada also has some of the largest reserves in the world.
But new rare earth mining projects have to balance the need for these materials with the environmental impacts that mining has on the land. 
Instead of starting from scratch, the University of Alberta and Calgary-based CVW CleanTech are trying to mine these valuable substances from tailings, a waste product of open-pit oilsands mining.
Previously known as Titanium …

New-age prospectors finding rare earth elements in tailings from Alberta oilsands | CBC News
Rare earth elements are a key part of the transition to a green economy. From magnets in wind turbines to batteries in electric vehicles, they’re needed for technology that is increasingly in demand.

spending the night finding obscure fonts. thank u to my homeboy over at spork thug typography, be sure to light up his AOL 🙏
https://web.archive.org/web/20250000000000*/http://www.lifewithouttaffy.com/taffy/blog/

Encouraging - and important.
https://www.theguardian.com/environment/2025/aug/19/leading-us-economists-urge-peers-to-fight-trumps-attack-on-environment?CMP=Share_AndroidApp_Other

Encouraging - and important.
https://www.theguardian.com/environment/2025/aug/19/leading-us-economists-urge-peers-to-fight-trumps-attack-on-environment?CMP=Share_AndroidApp_Other

Toward a Consistent Definition of Holographic Entanglement Entropy in de Sitter Space
Shan-Ming Ruan, Yu-ki Suzuki
https://arxiv.org/abs/2508.14478 https://

Toward a Consistent Definition of Holographic Entanglement Entropy in de Sitter Space
We investigate a new definition of holographic entanglement entropy in the framework of static patch holography for de Sitter space. Using the replica trick and twist operator formalism, we derive an entropy functional in three-dimensional de Sitter space expressed through de Sitter Green's functions. Since the naive Ryu-Takayanagi prescription in de Sitter spacetime fails to satisfy strong subadditivity, we demand that our proposed formula be consistent with the fundamental entropic inequaliti…

Quantifying How Much Has Been Learned from a Research Study
Jonas M. Mikhaeil, Donald P. Green
https://arxiv.org/abs/2508.14789 https://arxiv.org/pdf/2508.…

Quantifying How Much Has Been Learned from a Research Study
How much does a research study contribute to a scientific literature? We propose a learning metric to quantify how much a research community learns from a given study. To do so, we adopt a Bayesian perspective and assess changes in the community's beliefs once updated with a new study's evidence. We recommend the Wasserstein-2 distance as a way to describe how the research community's prior beliefs change to incorporate a study's findings. We illustrate this approach through stylized examples a…

growoil

"Jaguar cub born in Argentina’s Gran Chaco after three decades"
#Argentina #Jaguars #Animals

Jaguar cub born in Argentina’s Gran Chaco after three decades
A 5-month-old jaguar cub has been spotted along the Bermejo River in northern Argentina’s Gran Chaco region — the first wild-born cub in the region following a rewilding program at El Impenetrable National Park led by conservation nonprofit Rewilding Argentina. Researchers had suspected a birth several months prior, finding paw prints and other indirect signs, […]

Helsinki-based DataCrunch, which aims to become Europe's first AI cloud hyperscaler, raised a €55M Series A, bringing its total funding to €76.5M (Tamara Djurickovic/Tech.eu)
https://tech.eu/2025/09/08/datacrunch-raises-eur5…

DataCrunch raises €55M to boost EU AI sovereignty with green cloud infrastructure
Helsinki-based DataCrunch, a provider of high-performance AI infrastructure, has raised €55 million in a Series A round to scale its compute platform and advance its ambition to become Europe’s first AI cloud hyperscaler.The round was led by byFounders, Skaala, Varma pension fund, and Tesi, with participation from J12 Ventures and angel investors. Debt financing came from Nordea and Armada Credit Partners, alongside Danske Bank, Norion Bank, and Local Tapiola. With this raise, DataCru…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…