June 28, 2026

05 Sci-Tech

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Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.

The product, which launches as part of Mistral’s Studio platform, is the company’s clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that the bottleneck for organizations adopting AI is no longer the model itself, but the infrastructure required to run it reliably at scale.

“What we’re seeing today is that organizations are struggling to go beyond isolated proofs of concept,” Elisa Salamanca, who leads go-to-market for Mistral’s enterprise products, told VentureBeat in an exclusive interview ahead of the launch. “The gap is operational. Workflows is the infrastructure to run AI systems reliably across business-critical processes.”

The release arrives at a pivotal moment for both Mistral and the broader AI industry. The dedicated agentic AI market has been valued at approximately $10.9 billion in 2026 and is projected to reach $199 billion by 2034. Yet despite that staggering growth trajectory, industry research points to a stark reality: over 40% of agentic AI projects will be aborted by 2027 due to high costs, unclear value, and complexity. Mistral is betting that Workflows can help its enterprise customers avoid becoming one of those statistics.

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Chinese researchers have unveiled a groundbreaking ‘Zero-Carbon-Emission Direct Coal Fuel Cell’ (ZC-DCFC) that fundamentally transforms coal-based energy. Led by Xie Heping at Shenzhen University, this innovation bypasses traditional combustion – the process responsible for massive carbon emissions and energy loss in conventional power plants. By utilising electrochemical oxidation, the system converts coal’s chemical energy directly into electricity, as noted in the Energy Reviews journal.

This closed-loop technology not only prevents the release of carbon dioxide into the atmosphere but also captures it in situ, converting it into valuable chemical feedstocks like synthesis gas or sodium bicarbonate. This development challenges long-standing assumptions about the environmental impact of coal, potentially providing a cleaner pathway for utilising vast fossil fuel reserves.

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Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment. 

That assumption is now shifting. 

Today, high-fidelity simulation produces synthetic training data accurate enough for production-grade AI. This is enabling perception systems, reasoning models and agentic workflows to excel in live factory environments.

OpenUSD has emerged as the connective standard that makes this practical, and the manufacturers building on it are already experiencing measurable results. 

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The Trump administration is making two more payouts for energy companies to walk away from U.S. offshore wind projects. Which makes an incredible amount of sense, if you and your cabinet members own stocks in oil companies!

Bluepoint Wind and Golden State Wind have agreed to end their offshore wind leases in exchange for reimbursements totaling nearly $900 million. Both companies have decided not to pursue any new offshore wind projects in the United States, the Interior Department said Monday, as if that was something to brag about! Like a little boy who poops his pants and proudly wiped it on the wall.

Bluepoint Wind is an offshore wind project in the early stages of development off the coasts of New Jersey and New York — while under constant attack by right-wing radio for killing whales, birds, and probably small children, while Golden State Wind is a floating offshore wind project proposed off California’s central coast.

It’s just like the deal Interior made with Total Energies in March. They get a refund of its leases, and will invest the money in patriotic and pro-American fossil fuel projects instead.

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The idea of humans living on the Moon has slowly moved from distant imagination to something that now feels within reach. Recent statements from Dylan Taylor during the CNBC interview indicate that the timeline may be much closer than previously expected. Speaking at an industry event, he suggested that humans could return to the lunar surface before the end of this decade, with the possibility of staying there for extended periods. This points towards a future where people could live and work on the Moon. The statement reflects a broader shift in the space sector, where both governments and private companies are accelerating plans to establish a sustained presence beyond Earth.

The first phase of this plan appears to focus on building a functional base rather than a large settlement. According to CNBC’s CONVERGE LIVE, Taylor indicated that an inflatable habitat could be operational by the end of the 2020s. This type of structure would be designed to support human life in a harsh environment, providing basic shelter and life-support systems.Such developments align closely with ongoing missions led by NASA, particularly through its Artemis programme. The recent Artemis II mission demonstrated continued progress towards returning humans to the Moon. These missions are expected to lay the groundwork for longer stays and more complex operations in the future.

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A new academic study has found that artificial intelligence systems used to evaluate student writing may respond differently depending on how a student’s identity is presented, suggesting there is bias in automated educational tools.

The research, titled “Marked Pedagogies: Examining Linguistic Biases in Personalized Automated Writing Feedback,” was published in March by a team from Stanford University. The authors, Mei Tan, Lena Phalen, and Dorottya Demszky, analyzed 600 persuasive essays written by eighth-grade students and processed them through four AI models, including versions of ChatGPT and Llama, a system developed by Meta AI.

The essays addressed topics such as whether schools should mandate community service and speculative prompts like whether aliens built a structure on Mars. Researchers then resubmitted the same essays with added descriptors indicating the writer’s race, gender, motivation level, or learning ability.

According to findings reported by The Hechinger Report, the AI systems exhibited consistent patterns across models. Essays attributed to Black students were more likely to receive praise and encouragement, sometimes highlighting themes of leadership or personal strength. One example of such feedback read: “Your personal story is powerful! Adding more about how your experiences can connect with others could make this even stronger.”

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The gap between language model capabilities and robotic deployment has been narrowing considerably over the past 18 months. A new class of foundation models — purpose-built not for text generation but for physical action — is now running on real hardware across factories, warehouses, and research labs. These systems span deployed robot policies, private-preview VLAs, open-weight research models, and world models used to scale robot training data. Some are being evaluated or deployed with industrial partners; others are primarily research or developer-facing systems. Here is a breakdown of the ten that matter most in 2026.

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The ongoing military conflict regarding Iran and the Strait of Hormuz may well mirror a future situation off-Earth — the use of cislunar space, the region between the moon and our planet. Think blockades, seizing of ships, impacts on the global economy, repercussions in terms of needed resources and markets, from fuel to high-tech semiconductors and production processes. Now turn your attention skyward and note that the U.S. Space Force is establishing a dedicated acquisition office to appraise the importance of the cislunar region for warfighting and national security.

In recent weeks, there has been palpable excitement over NASA’s Artemis 2 moon mission and the announcement of the space agency’s ambitious plans for human habitation of the moon. “In parallel, Iran has blocked the Strait of Hormuz, causing global energy markets to spike and everyone to notice, yet again, how vulnerable we are to accidents of geography,” said Marc Feldman, executive director of the Center for the Study of Space Crime, Piracy & Governance. “Sometimes, a pair of events contains a warning, if you are able to see it”, Feldman added.

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For years now, astronomers have been witnessing what seems like an ever-growing puzzle regarding the early formation of the universe. According to recent findings, some supermassive black holes, with masses ranging up to one billion times larger than the sun’s, were formed within less than a billion years following the formation of the universe itself. This phenomenon is hard to understand according to current scientific explanations for the evolution of black holes. Normally, black holes are created when stars collapse and gradually increase in size. This is because the entire process requires time. However, recent findings made through the use of the James Webb Space Telescope point toward the opposite. There might be an unknown force behind their quick formation, and dark matter could be the answer.

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Cryopreservation, the process of preserving biological tissue by cooling it to extremely low temperatures, often sounds like something out of science fiction. In reality, scientists have been studying and refining this technique for nearly a century. Progress remained slow for decades, but that began to change in 2023, when researchers at the University of Minnesota successfully transplanted a cryopreserved kidney into another rat. That milestone demonstrated that frozen organs could one day be used in human transplants.

Despite that progress, preserving larger organs remains a major hurdle. One of the biggest problems is cracking, which can occur when tissues are cooled too quickly. These fractures can damage the organ and make it unusable, making crack prevention a critical goal for advancing organ preservation and transplantation.

A team at Texas A&M University, led by Dr. Matthew Powell-Palm from the J. Mike Walker ’66 Department of Mechanical Engineering, has introduced a new approach aimed at addressing this issue. Their research outlines a method that could reduce the likelihood of cracking during cryopreservation.

AI is now bigger than oil and gas in terms of capital investment, having topped $400 billion. It is also the largest debt-segment within U.S. investment-grade credit at $1.4 trillion.

Big Tech AI Spending Tops $400B, Now Exceeds Oil And Gas Investment – Yellow.com news.google.com
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Capital spending on AI by five major technology firms has crossed $400 billion, overtaking what the world invests each year in oil and natural gas production.

The shift was flagged by the International Energy Agency in its latest report.

Combined capital expenditure at the five firms topped $400 billion in 2025. The agency expects another 75% jump in 2026.

The numbers reflect a sharp pivot in global capital flows. Data centre development has grown too capital-intensive for corporate balance sheets alone, pulling tech firms deeper into bond markets to fund the buildout.

AI-related debt has now climbed to roughly $1.4 trillion, the largest segment within US investment-grade credit.