logo
Earliest galaxies ever seen reveal clues to universe's first moments

Earliest galaxies ever seen reveal clues to universe's first moments

The National31-05-2025

Astronomers have confirmed the discovery of the two most distant galaxies observed, giving them a glimpse of what the universe looked like only 300 million years after the Big Bang.
Named JADES-GS-z14-0 and JADES-GS-z14-1, the galaxies were identified by the James Webb Space Telescope (JWST) as part of the JWST Advanced Deep Extragalactic Survey (JADES).
The findings, published in the Nature science journal on Wednesday, challenges existing theories on how quickly galaxies could form in the early cosmos.
'These galaxies join a small but growing population of galaxies from the first half billion years of cosmic history where we can really probe the stellar populations and the distinctive patterns of chemical elements within them,' said Dr Francesco D'Eugenio of the Kavli Institute for Cosmology at the University of Cambridge, one of the teams behind the discovery.
The brighter of the two, JADES-GS-z14-0, measures an impressive 1,600 light-years in diameter and appears to be brimming with young stars.
The discovery offers scientists a rare opportunity to study conditions of when the universe was first forming.
The galaxies can be seen as they were when the universe was less than 2 per cent of its current age. This was possible because of instruments on the telescope that helped researchers study the phenomenon where light stretches into longer wavelengths as it travels through space.
'We could have detected this galaxy even if it were 10 times fainter, which means that we could see other examples yet earlier in the universe, probably into the first 200 million years,' says Brant Robertson, professor of astronomy and astrophysics at the University of California-Santa Cruz.
The findings could also lead researchers to rethink how fast stars and other matter came together in the first few hundred million years after the Big Bang.
JWST's ability to observe infrared light helped the researchers carry out the discovery, a capability that was not possible by its predecessor the Hubble Space Telescope.
The telescope, which was launched on Christmas day in 2021, has already rewritten much of what scientists believed about the early universe.
Among its most talked-about findings is the detection of carbon dioxide in the atmosphere of a planet outside the Solar System, a major step in the search for potentially habitable worlds.
It has also provided never-before-seen details of star formation, including the stunning image of the Pillars of Creation, towering clouds of gas and dust located about 6,500 light-years from Earth, revealing intricate new structures invisible to previous telescopes.
But just as the JWST is reaching new milestones, its future and other major science missions, are at risk because of the White House's proposed budget for 2026 that includes significant cuts to Nasa's science division.
These cuts could affect future telescope missions, Earth science programmes and planetary exploration efforts.
While JWST is already built and operational, budget constraints could limit the resources needed to support its observations or delay follow-up missions that would expand on its findings.
Stunning images captured by the James Webb Space Telescope – in pictures

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Why the Turing Test is still the best benchmark to assess AI
Why the Turing Test is still the best benchmark to assess AI

Gulf Business

time30 minutes ago

  • Gulf Business

Why the Turing Test is still the best benchmark to assess AI

Image: Supplied 'A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.' Alan Turing We have come a long way since the beginning of modern AI in the 1950s and especially in the last few years. I believe we are now at the tipping point where AI is changing the way we do research and changing the way industry interacts with these technologies. Politics and society are having to adjust and make sure that AI is used in an ethical and secure way, and also that privacy concerns are addressed. Whilst AI has a lot of potential, there are still a number of issues and concerns. If we manage to address these, we can look ahead to good things from AI. Alan Turing (1912 – 1954) was a British mathematician and computer scientist and he's also widely known as the father of theoretical computer science and AI. He made a number of notable contributions, for instance, he introduced the concepts of a theoretical computing machine, also known as the Turing machine, which laid the foundation for what is now known as modern computer science. He worked on the design of early computers with the National Physics Laboratory and also later at the University of Manchester, where I'm based. He undertook pioneering work and this continues to be influential in contemporary computer science. He also developed the Turing test that measures the ability of a machine to exhibit intelligent behaviour that's equivalent or indistinguishable from that of a human. The Turing Test: Why its relevant The Turing test is still used today. Turing introduced it as a test for what's known as the imitation game in which a human interrogator interacts with two hidden entities — one human and the other a machine — through text-based communication, similar to ChatGPT. The interrogator cannot see or hear the participants and must rely just on the text conversation to make a judgment on whether it's a machine or a human. The objective for the machine is to generate responses that are indistinguishable from those of a human. The human participant aims to convince the interrogator of her/his humanity. If the interrogator cannot reliably distinguish between a machine and a human, then the machine is said to have passed the Turing test. It sounds very simple but it's an important test because it has become a classic benchmark for assessing AI. But there are also criticisms and limitations to the test. As we mark Alan Turing Day 2024, I can say that AI is moving closer to passing the Turing test – but we're not quite there yet. A recent paper stated that ChatGPT had passed the Turing test. ChatGPT is a natural language processing model and generates responses to questions that we pose that look like responses from a human. Some people would say ChatGPT has passed the Turing test and certainly for short conversations, ChatGPT is doing quite a good job. But as you have a longer conversation with ChatGPT, you notice there are some flaws and weaknesses. So, I think ChatGPT is probably the closest we get to passing the Turing test, at the moment. Many researchers and companies are working on improving the current version of ChatGPT and I would like to see that the machine understands what it produces. At the moment, ChatGPT produces a sequence of words that are suitable to address a particular query but it doesn't understand the meaning of these words. If ChatGPT understands the true meaning of a sentence – and that is done by contextualising a particular response or query — I think we are then in a position to say, yes, it has passed the Turing test. I would have hoped to pass this stage by now but I hope we will reach this point in a few years' time, perhaps around 2030. At the University of Manchester, we are working on various aspects of AI in healthcare — getting better, cheaper or quicker treatment is in the interest of society. It starts off with drug discovery. Can we find drugs that are more potent than drugs and have fewer side effects and ideally are cheaper to manufacture than the drugs currently available? We use AI to help guide us through the search space of different drug combinations. And the AI tells us, for example, which drugs we should combine and at which dose. We also work with the UK National Health Service and have come up with fairer reimbursement schemes for hospitals. In one case, we use what's called sequential decision making. In the other one, we use techniques that are based on decision trees. So, we use different methods and look at different applications of AI within healthcare. A particular area of cyber security that I'm working on is secure source code – it's the way we tell a computer what to do and is one of the fundamental levels we humans interact with a computer. If the source code (a sequence of instructions) is poor quality, then it can open up security vulnerabilities which could be exploited by hackers. We use verification techniques combined with AI to scan through source code, identify security issues of different types, and then fix them. We have shown that by doing that, we increase the quality of code and improve the resilience of a piece of software. We generate a lot of code and we want to make sure the code is safe, especially if for a business in a high stakes sector, such as healthcare, defence or finance. AI in sport There's a lot of scope and potential for AI in creativity and sport. In football, we have data about match action – where the ball is, who has the ball, and the positioning of the players. It's really big data and we can analyse it to refine a strategy when playing a particular opponent, by looking at past performance and player style, and use the data to adjust our strategy. This would be very tough without AI because of the sheer amount and complexity of the data. We are also looking at music education and helping people learn an instrument better by creating virtual music teachers. We can use AI combined with other technologies, such as virtual reality and augmented reality, to project a tutor. If you wear VR goggles, you can actually interact with the tutor. This is quite revolutionary and potentially opens up music to everyone on the planet. At the moment we're at the stage where AI is exceptionally good in doing specific tasks and we are making very good progress on general AI — AI behaving in a similar way to humans and that we can interact with. This is a game changer made possible by ChatGPT and other examples. This technology is being used by industry for completely new business ideas we haven't even thought of. A vision and strategy for AI is crucial. The UAE National Strategy for AI 2031 is a very good example of an ambitious vision covering education and reskilling, investment in research but also in the translation of research into practice. The strategy even looks at ethical AI development, making sure the AI is used ethically, securely and that privacy concerns are mitigated. I think the strategy has all the components that are needed to be successful and we can all learn a lot from this approach. The writer is the professor of Applied Artificial Intelligence and Associate Dean for Business Engagement, Civic & Cultural Partnerships (Humanities) at Alliance Manchester Business School, Read

‘Policy procrastination' leaves UK trailing EU, US in crypto regulation: Experts
‘Policy procrastination' leaves UK trailing EU, US in crypto regulation: Experts

Crypto Insight

timea day ago

  • Crypto Insight

‘Policy procrastination' leaves UK trailing EU, US in crypto regulation: Experts

The UK's unclear regulatory stance on digital assets is drawing sharp criticism from market participants, with some citing 'policy procrastination' as a key reason the country is falling behind both the European Union and the US in the race to define digital finance. In a Friday blog post, John Orchard, chairman, and Lewis McLellan, editor of the Digital Monetary Institute at the Official Monetary and Financial Institutions Forum (OMFIF), an independent think tank, argued that the UK has wasted its early-mover advantage in distributed ledger finance. The post, titled 'The UK keeps missing the boat on DLT finance,' said that the UK, once expected to set a post-Brexit gold standard for crypto regulation, continues to 'talk un-specifically about regulation in the future.' 'As it stands, there is a date conspicuously missing for the 'Regime go-live' portion of the Financial Conduct Authority's 'Crypto Roadmap,' though it suggests some time after 2026,' Orchard and McLellan wrote. EU and US introduce crypto regulations The European Union's Markets in Crypto-Assets (MiCA) framework is already in effect, while the US Senate recently passed the Guiding and Establishing National Innovation for US Stablecoins, or GENIUS Act, a landmark bill establishing federal guardrails for stablecoins. However, the UK's Financial Conduct Authority still lacks a confirmed go-live date for its crypto regime. 'This absence of a workable framework retards the UK's ability to adapt to the possibility that… all of finance is going onchain,' the authors wrote. The criticism also focuses on the UK's approach to stablecoins. Unlike the US, which treats them as distinct payment tools under the Genius Act, UK regulators have lumped them in with crypto investment assets, a move that has 'mystified' the market. The Bank of England's initial stance only deepened concerns. Its draft framework required systemic stablecoins to be backed entirely by central bank money — a condition industry players argued would make issuance commercially unviable. While the Bank has since begun to ease this position, it hasn't yet offered a workable model. Jurisdictions move forward with crypto regulations Meanwhile, other jurisdictions are making strides. In May, Hong Kong passed a stablecoin bill and is rapidly developing a tokenization ecosystem through its Project Ensemble initiative. The authors also praised the United Arab Emirates' Virtual Assets Regulatory Authority (VARA) for being a dedicated digital asset regulator, unlike the UK's attempt to adapt legacy institutions to new financial models. The blog concluded that while the UK led fintech innovation in the 2010s and still benefits from advantages like its time zone, language, and legal system, its position is far from secure. 'Financial centers come and go,' the authors warned, urging swift action from regulators. Source:

Global second-hand smartphone market sees annual drop
Global second-hand smartphone market sees annual drop

Tahawul Tech

time3 days ago

  • Tahawul Tech

Global second-hand smartphone market sees annual drop

Recent CCS Insight data has highlighted a 2% year-on-year drop in global second-hand smartphone shipments marking the first annual drop recorded in more than three years. The research organisation noted that the decline comes as operators face increasing consumer preference for SIM-free handsets bought directly from manufacturers or online platforms. An estimated 27.1 million devices were sold globally in the organised secondary market in the first quarter of the year, down from 27.6 million in Q1 2024. However, Ben Hatton, Market Analyst at CCS Insight, described the Q1 slowdown as 'nothing more than a blip', pointing to a positive long-term outlook in the coming quarters. A key growth opportunity is expected to come from trade-in programmes. Indeed, data showed that just 31 per cent of European consumers currently trade in or sell old phones, highlighting an untapped supply of more than 100 million devices annually. As tighter European regulations restrict device imports, the research company noted that despite a slow Q1, strong device buybacks in late 2024 show vendors with internal trade-in schemes are better positioned for long-term supply stability. Simon Bryant, VP of research at CCS Insight, highlighted Samsung's Galaxy Club in the UK as a model to watch, stating such initiatives 'help businesses lock consumers into trade-in agreements, improving take-back and supporting higher residual values for the leading brands in the secondary market'. Looking ahead, Hatton noted 'more mature' markets like France and the UK, which fell 11 per cent and 3 per cent respectively, will remain key to gauging the recovery of the second-hand European smartphone sector for the remainder of 2025. Source: Mobile World Live Image Credit: Stock Image

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store