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New research prompts rethink on chances of life on Uranus moons

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SPL Artwork of Uranus and five of its moonsSPL

Artwork: Uranus and its five largest moons had been thought to be inactive and sterile.

The planet Uranus and its five biggest moons may not be the dead sterile worlds that scientists have long thought.

Instead, they may have oceans, and the moons may even be capable of supporting life, scientists say.

Much of what we know about them was gathered by Nasa’s Voyager 2 spacecraft which visited nearly 40 years ago.

But a new analysis shows that Voyager’s visit coincided with a powerful solar storm, which led to a misleading idea of what the Uranian system is really like.

Uranus is a beautiful, icy ringed world in the outer reaches of our solar system. It is among the coldest of all the planets. It is also tilted on its side compared to all the other worlds – as if it had been knocked over – making it arguably the weirdest.

Graphic showing position of Uranus's magnetic field and its five largest moons from data gathered by Voyager compared to - below - what the new analysis shows, that the field is filled with gases providing evidence of activity and possble oceans.

We got our first close-up look at it in 1986, when Voyager 2 flew past and sent back sensational pictures of the planet and its five major moons.

But what amazed scientists even more was the data Voyager 2 sent back indicating that the Uranian system was even weirder than they thought.

The measurements from the spacecraft’s instruments indicated that the planets and moons were inactive, unlike the other moons in the outer solar system. They also showed that Uranus’s protective magnetic field was strangely distorted. It was squashed and pushed away from the Sun.

A planet’s magnetic field traps any gases and other material coming off the planet and its moons. These might be from oceans or geological activity. Voyager 2 found none, suggesting that Uranus and its five largest moons were sterile and inactive.

This came as an enormous surprise because it was unlike the solar system’s other planets and their moons.

NASA Black and White picture of Miranda, one of the moons of Uranus.NASA

Miranda, one of the moons of Uranus, photographed by Voyager 2. The new research says the moon possibly has a sub-surface ocean and may even be home to life

NASA Voyager 2 Spacecraft being tested by Nasa ScientistsNASA

Voyager 2 was launched in 1977 to study Jupiter, Saturn, Uranus and Neptune

But the new analysis has solved the decades-long mystery. It shows that Voyager 2 flew past on a bad day.

The new research shows that just as Voyager 2 flew past Uranus, the Sun was raging, creating a powerful solar wind that might have blown the material away and temporarily distorted the magnetic field.

So, for 40 years we have had an incorrect view of what Uranus and its five largest moons are normally like, according to Dr William Dunn of University College London.

“These results suggest that the Uranian system could be much more exciting than previously thought. There could be moons there that could have the conditions that are necessary for life, they might have oceans below the surface that could be teeming with fish!”.

NASA Picture of Uranus taken by Voyager 2NASA

The first picture of Uranus was sent back by Voyager 2 in 1986

Linda Spilker was a young scientist working on the Voyager programme when the Uranus data came in. She is now still serving as the project scientist for the Voyager missions. She said that she was delighted to hear about the new results, which have been published in the Journal Nature Astronomy.

“The results are fascinating, and I am really excited to see that there is potential for life in the Uranian system,” she told BBC News.

“I’m also so pleased that so much is being done with the Voyager data. It’s amazing that scientists are looking back at the data we collected in 1986 and finding new results and new discoveries”.

Dr Affelia Wibisono of the Dublin Institute for Advanced Studies, who is independent of the research team, described the results as “very exciting”.

“It shows how important it is to look back at old data, because sometimes, hiding behind them is something new to be discovered, which can help us design the next generation of space exploration missions”.

Which is exactly what Nasa is doing, partly as a result of the new research.

It has been nearly 40 years since Voyager 2 last flew past the icy world and its moons. Nasa has plans to launch a new mission, the Uranus Orbiter and Probe, to go back for a closer look in 10 years’ time.

NASA Plumes of material coming from Enceladus, one of the moons of Saturn, indication a sub-surface ocean.NASA

Plumes of material coming from Enceladus, one of the moons of Saturn, indicating a possible sub-surface ocean. Could the same be true of the Uranian moons?

According to Nasa’s Dr Jamie Jasinski, whose idea it was to re-examine the Voyager 2 data, the mission will need to take his results into account when designing its instruments and planning the scientific survey.

“Some of the instruments for the future spacecraft are very much being designed with ideas from what we learned from Voyager 2 when it flew past the system when it was experiencing an abnormal event. So we need to rethink how exactly we are going to design the instruments on the new mission so that we can best capture the science we need to make discoveries”.

Nasa’s Uranus probe is expected to arrive by 2045, which is when scientists hope to find out whether these far-flung icy moons, once thought of as being dead worlds, might have the possibility of being home to life.



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OpenAI, which leads the global artificial intelligence (AI) market, has invested a large amount of m..

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Start-up StatSig Acquires…CEO Appointed CTO “AI Quality Most Important…”Make safe and useful AI”

[Photo = Yonhap News]

OpenAI, which leads the global artificial intelligence (AI) market, has invested a large amount of money to acquire startups. Analysts say that this is a move that recognizes that ChatGPT users have recently emerged as a serious social problem after being delusional or killing themselves while talking for a long time.

According to the information technology (IT) industry on the 4th, OpenAI announced the previous day that it would acquire startup StatSig for $1.1 billion (about 1.5 trillion won). This transaction is made through a stock exchange in full.

Founded in 2021, StatSig has a platform that verifies the effectiveness and impact of developers improving software functions. Representatively, it applies a new function to some users and provides a service that modifies the function according to the user’s response after testing and updating the function compared to all functional users.

Vijai Raj StatSig CEO will be appointed as OpenAI’s Chief Technology Officer (CTO) for Applications. It is expected that it will be in charge of application engineering. However, there is still a process for regulatory authorities to review and permit the acquisition.

OpenAI has been pursuing large-scale mergers and acquisitions this year. In July, it bought Johnny Ive’s AI hardware startup io, who served as Apple’s design director, for $6.5 billion (about 9 trillion won), and attempted to acquire AI coding startup Windsurf for $3 billion (about 4 trillion won), but it failed.

“In order to create intuitive, safe and useful Generative AI, a strong engineering system, fast repetitive work, and a long-term focus on quality and stability are needed,” an OpenAI official said. “We will improve our AI model in a way that allows users to better recognize and respond to signals that are mentally and emotionally difficult.”

Controversy over AI psychosis…Introducing ‘Danger Conversation’ Protection

Sam Altman, CEO of OpenAI. [Photo = Yonhap News]
Sam Altman, CEO of OpenAI. [Photo = Yonhap News]

Recently, AI psychosis is the topic of the global AI industry. AI psychosis refers to the phenomenon of losing a sense of reality or imagining in vain while interacting with AI. It’s not an official disease name, it’s a newly coined word.

For example, last month, American teenager Adam Lane confessed to ChatGPT-4o that he felt an urge to choose an extreme, discussed his suicide plan, and put it into action. Lane’s parents filed a lawsuit against OpenAI, claiming ChatGPT was responsible for the death of their son.

OpenAI acknowledged the system defect, saying that long repeated communication has unlocked ChatGPT’s safety devices. In response, OpenAI plans to work with experts in various fields to strengthen ChatGPT’s user protection function, and then introduce an AI model that focuses on a safe use environment within this year.

First, to block sensitive and dangerous conversations, we take measures to automatically switch from the general model to the inference model when a stress signal is detected. The inference model can adequately respond to anomalies because it takes sufficient time to understand the context and answer than the general model.

In particular, it focuses on protecting youth. You can link the accounts of parents and children. Through this, parents have the authority to check their children’s conversation content and delete conversation records. If your child seems emotionally anxious, you will send a warning notification to your parents. Age-specific rules of conduct are also applied.

Meta also held a roundtable on online safety for youth and women. Currently, Meta is reflecting user feedback in its service after the introduction of youth accounts. A location notification function has been added to the direct message (DM) to indicate the other party’s country. It aims to prevent sexual exploitation and fraud. In order to prevent the spread of private photos, it has introduced a function to send a warning message and automatically blur when nude photos are detected. It is also detecting AI technology advertisements that synthesize and distort human photos.

Meanwhile, as AI becomes a part of life, demands from AI companies to protect ethics are expected to spread. According to WiseApp and Retail, the monthly active users (MAU) of Korea’s ChatGPT app exceeded 20.31 million as of last month. It increased five times compared to the same month last year (4.07 million). The figure is even nearly half of the KakaoTalk app (51.2 million people), a messenger used by the whole nation.

“AI does not recognize emotions, but it can learn conversation patterns and react as if it had emotions,” said Dr. Zeev Benzion of Yale University. “It should be designed to remind users that AI is not a therapist or a substitute for human relationships.”



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Insurance companies are actively introducing generative artificial intelligence (AI) into their work..

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Kyobo Life Insurance Expects to Improve Work Productivity of Compensation Supporters

Kyobo Life Insurance Headquarters [Kyobo Life Insurance]

Insurance companies are actively introducing generative artificial intelligence (AI) into their work. In addition to increasing productivity, it is expected to significantly reduce the possibility of insurance disputes through more objective compensation work.

Kyobo Life Insurance announced on the 4th that it will open three types of Generative AI services to all members, including financial planners (FP) and executives and employees.

It is a ‘guaranteed analysis AI supporter’ for FP, an ‘AI assistant for FP manager’ and an ‘AI desk’ for executives and employees.

Guarantee analysis AI supporters are a service that supports Kyobo Life Insurance FP’s process of analyzing customer coverage details and proposing optimal guarantees.

Using Generative AI, we analyze and summarize the current status of coverage for each major benefit such as cancer, brain, and heart, and suggest alternatives to insufficient coverage. It is expected that faster customer consultation will take place.

Kyobo Life Insurance plans to include education using AI supporters for guarantee analysis in its new FP curriculum and continue to upgrade its counseling function by reflecting the latest sales site data and cases.

The FP Director AI Assistant supports tasks from recruitment to training and team performance management, which are the main roles of the FP Director. As a Generative AI, it provides team member goal management, fee prediction, and recommendation of recruiting candidates. Mobile-based allows you to manage team performance anytime, anywhere.

CEO and chairman of the board Shin Chang-jae said at the ’67th Anniversary Ceremony’ last month, “AI utilization capabilities have become a key competitive edge in the insurance industry. Let’s create a leading AI-DX company that provides differentiated experiences and values to customers by incorporating AI into the entire business process.”

It has also opened an Generative AI service ‘AI Desk’ for office workers. AI Desk is an integrated service for Kyobo Life Insurance’s internal Generative AI. It consists of natural language question-and-answer service ‘GyoBot’, department-specific ‘Personnel Bot’, and ‘Legislation Bot’.

사진설명

[Financial house review] Financier house review is a corner that delivers vivid information from financial companies. It’s small, but I choose and deliver information that can help you.



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AI to reshape India’s roads? Artificial intelligence can take the wheel to fix highways before they break, ETInfra

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From digital twins that simulate entire highways to predictive algorithms that flag out structural fatigue, the country’s infrastructure is beginning to show signs of cognition.

In India, a pothole is rarely just a pothole. It is a metaphor, a mood and sometimes, a meme. It is the reason your cab driver mutters about karma and your startup founder misses a pitch meeting because the expressway has turned into a swimming pool. But what if roads could detect their own distress, predict failures before they happen, and even suggest how to fix them?

That is not science-fiction but the emerging reality of AI-powered infrastructure.

According to KPMG’s 2025 report AI-powered road infrastructure transformation- Roads 2047, artificial intelligence is slowly reshaping how India builds, maintains, and governs its roads. From digital twins that simulate entire highways to predictive algorithms that flag out structural fatigue, the country’s infrastructure is beginning to show signs of cognition.

From concrete to cognition

India’s road network spans over 6.3 million kilometers – second only to the United States. As per KPMG, AI is now being positioned not just as a tool but as a transformational layer. Technologies like Geographic Information System (GIS), Building Informational Modelling (BIM) and sensor fusion are enabling digital twins – virtual replicas of physical assets that allow engineers to simulate stress, traffic and weather impact in real time. The National Highway Authority of India (NHAI) has already integrated AI into its Project Management Information System (PMIS), using machine learning to audit construction quality and flag anomalies.

Autonomous infrastructure in action

Across urban India, infrastructure is beginning to self-monitor. Pune’s Intelligent Traffic Management System (ITMS) and Bengaluru’s adaptive traffic control systems are early examples of AI-driven urban mobility.

Meanwhile, AI-MC, launched by the Ministry of Road Transport and Highways (MoRTH), uses GPS-enabled compactors and drone-based pavement surveys to optimise road construction.

Beyond cities, state-level initiatives are also embracing AI for infrastructure monitoring. As reported by ETInfra earlier, Bihar’s State Bridge Management & Maintenance Policy, 2025 employs AI and machine learning for digital audits of bridges and culverts. Using sensors, drones, and 3D digital twins, the state has surveyed over 12,000 culverts and 743 bridges, identifying damaged structures for repair or reconstruction. IIT Patna and Delhi have been engaged for third-party audits, showing how AI can extend beyond roads to critical bridge infrastructure in both urban and rural contexts.

While these examples demonstrate the potential of AI-powered maintenance, challenges remain. Predictive maintenance, KPMG notes, could reduce lifecycle costs by up to 30 per cent and improve asset longevity, but much of rural India—nearly 70 per cent of the network—still relies on manual inspections and paper-based reporting.

Governance and the algorithm

India’s road safety crisis is staggering: over 1.5 lakh deaths annually. AI could be a game-changer. KPMG estimates that intelligent systems can reduce emergency response times by 60 per cent, and improve traffic efficiency by 30 per cent. AI also supports ESG goals— enabling carbon modeling, EV corridor planning, and sustainable design.

But technology alone won’t fix systemic gaps. The promise of AI hinges on institutional readiness – spanning urban planning, enforcement, and civic engagement.

While NITI Aayog has outlined a national AI strategy, and MoRTH has initiated digital reforms, state-level adoption remains fragmented. Some states have set up AI cells within their PWDs; others lack the technical capacity or policy mandate.

KPMG calls for a unified governance framework — one that enables interoperability, safeguards data, and fosters public-private partnerships. Without it, India risks building smart systems on shaky foundations.

As India looks towards 2047, the road ahead is both digital and political. And if AI can help us listen to our roads, perhaps we’ll finally learn to fix them before they speak in potholes.

  • Published On Sep 4, 2025 at 07:10 AM IST

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