Tag Archives: science

#Chinese Space Computing Industry Innovation Center

In early June, the Chinese government quietly approved the creation of the Space Computing Industry Innovation Center, a major initiative designed to unite rocket and satellite manufacturers, semiconductor companies, and AI technology firms in building a space-based computing network. According to Beijing officials, the project aims to integrate the entire space-computing supply chain while accelerating the development of the satellite Internet of Things (IoT) ecosystem.

The announcement largely flew under the radar, but industry observers quickly noted its significance. Research firm SemiAnalysis pointed out on X that China unveiled the initiative roughly a week before Elon Musk revealed plans for his AI1 satellite, a spacecraft intended to run AI workloads directly in orbit.

The center is scheduled to officially launch later this month and will focus on six key areas of research: developing highly reliable, heat-resistant computing chips for space environments; building high-performance interconnected computing payloads; establishing standardized satellite computing platforms; training large AI models under severe power constraints; integrating space- and ground-based cloud networking systems; and creating service-oriented, tokenized business models for orbital computing resources.

Together, these efforts are aimed at creating an AI-powered data center in orbit—one that operates independently of terrestrial power grids and sidesteps many of the energy, land, and infrastructure constraints facing traditional data centers on Earth.

While Musk’s AI1 satellite has dominated headlines this week, China’s move suggests that the race toward space-based AI infrastructure is becoming increasingly competitive. However, it is worth noting that Musk’s ambitions in this area are not new. He has discussed the concept of orbital computing since late 2025 and, in February 2026, SpaceX filed plans with the FCC for a one-million-satellite Orbital Data Center System. Meanwhile, Jeff Bezos has entered the field as well, with Project Sunrise—a proposed constellation of 51,600 satellites operating in sun-synchronous orbit.

What distinguishes China’s approach is its emphasis on collaboration. Rather than relying on a single corporate entity, Beijing is coordinating multiple companies, research institutions, and industrial partners to jointly develop the underlying technologies required for space-based AI computing. By contrast, SpaceX and Blue Origin appear to be pursuing largely independent strategies. SpaceX, in particular, seems focused on vertical integration, supported by projects such as its massive Gigasat manufacturing facility and Musk’s ambitious TeraFab initiative.

Whether a centralized, state-coordinated ecosystem will outperform the resource-intensive efforts of a handful of private companies remains an open question. A collaborative model could distribute risk and make resulting technologies broadly accessible across Chinese industry, while private-sector approaches may benefit from faster execution and tighter integration.

What is clear, however, is that China is treating orbital computing infrastructure as a strategic priority. For a country that already possesses abundant electricity generation capacity and significant room for expanding terrestrial data centers, its willingness to invest heavily in space-based computing highlights the growing belief that the next frontier of AI infrastructure may extend far beyond Earth’s surface.

Source: MSN

Cleaner E-Waste #Gold and #Copper Metal Recovery by University of #Edinburgh

A green robotic arm in a recycling facility picks up circuit boards from a conveyor belt filled with electronic waste, with brightly colored containers labeled 'Copper', 'Gold', 'Palladium', and 'Silver' in the background.

The University of Edinburgh has licensed a gold and copper recovery process to mineral processing company Lithium Universe, enabling cleaner extraction of high‑value metals from electronic waste.

Developed by Professors Jason Love and Carole Morrison in the School of Chemistry, and commercialized with support from Edinburgh Innovations, the Gold Copper Diamide Extraction (GCDE) process uses organic compounds to selectively extract metals from discarded electronics.

Under an exclusive agreement, Lithium Universe will deploy and sub‑license the technology globally as part of its expanding precious metals recycling strategy.

E‑waste is one of the world’s fastest-growing hazardous waste streams, projected to reach around 93.5 million tonnes by 2030, but only about 20% is recycled using environmentally sound methods, the University said.

This waste is valuable, as devices and printed circuit boards are rich in gold and copper. At current prices, the gold content of one tonne of typical e‑waste is worth more than $46,000, with copper adding roughly another $2,000, it estimates.

But traditional e‑waste processing relies on furnace smelting above 1,200°C or aggressive leaching, both energy‑intensive and polluting, the University noted. Its GCDE process instead uses low‑temperature hydrometallurgy and small, reusable organic ligands to target metals in sequence, under mild conditions and avoiding cyanide, mercury and organic solvent extraction.

“Electronic waste is effectively a high‑grade ‘urban ore’. Our goal was to design chemistry that can recover those metals selectively and safely, without the energy and environmental cost of smelting,” Love said in a news release.

“The diamide behaves like a molecular magnet for gold. By following with a selective copper step, we can recover two of the most valuable metals in e‑waste with high purity and lower environmental impact.”

Lithium Universe plans to integrate GCDE into its precious metals recycling division, alongside its silver recovery technologies for end‑of‑life solar panels.

“This breakthrough from the University of Edinburgh reinforces the strategic expansion of our precious metals recycling division into high-value recovery technologies,” executive chair Iggy Tan said. By integrating selective metal recovery with sustainable processing, the company would “strengthen its competitive position in circular-economy solutions for gold, silver and copper recovery,” he added.

#Pentagon plans #AI-based program to estimate prices for critical minerals

The US Department of Defense plans to develop a program to estimate prices and predict supplies of nickel, cobalt and other critical minerals, a move aimed at boosting market transparency but one that throws a new, uncertain variable into global metals markets.

The program, which received little attention after it was announced on a Pentagon website in October, is part of Washington’s broader efforts to jumpstart US production of critical minerals used in weapons manufacturing and the energy transition.

US output lags market leader China partly because attempts to build new American mines can be heavily influenced by commodity price swings.

The Pentagon’s work is being run by its Defense Advanced Research Projects Agency (DARPA) division, which was formed in response to the Soviet Union’s 1957 launch of the Sputnik 1 satellite and helped develop the Internet and the mRNA vaccine for Covid-19.

DARPA and the US Geological Survey plan to hire one or more private contractors to develop an artificial intelligence-backed model that would construct a metal’s “structural price” based on where and when it is produced, as well as labor, supply and other costs, according to documents seen by Reuters that describe the program, including a slide deck that DARPA presented last November to prospective contractors.

Read more at: https://www.mining.com/web/pentagon-plans-ai-based-program-to-estimate-prices-for-critical-minerals/?utm_source=Daily_Digest&utm_medium=email&utm_campaign=MNG-DIGESTS&utm_content=pentagon-plans-aibased-program-to-estimate-prices-for-critical-minerals