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Yahoo
5 minutes ago
- Yahoo
Celebrus Technologies plc's (LON:CLBS) Stock Is Going Strong: Is the Market Following Fundamentals?
Celebrus Technologies' (LON:CLBS) stock is up by a considerable 22% over the past month. Given the company's impressive performance, we decided to study its financial indicators more closely as a company's financial health over the long-term usually dictates market outcomes. In this article, we decided to focus on Celebrus Technologies' ROE. Return on Equity or ROE is a test of how effectively a company is growing its value and managing investors' money. In simpler terms, it measures the profitability of a company in relation to shareholder's equity. This technology could replace computers: discover the 20 stocks are working to make quantum computing a reality. How To Calculate Return On Equity? The formula for return on equity is: Return on Equity = Net Profit (from continuing operations) ÷ Shareholders' Equity So, based on the above formula, the ROE for Celebrus Technologies is: 15% = UK£6.4m ÷ UK£43m (Based on the trailing twelve months to March 2025). The 'return' is the amount earned after tax over the last twelve months. Another way to think of that is that for every £1 worth of equity, the company was able to earn £0.15 in profit. Check out our latest analysis for Celebrus Technologies Why Is ROE Important For Earnings Growth? We have already established that ROE serves as an efficient profit-generating gauge for a company's future earnings. Based on how much of its profits the company chooses to reinvest or "retain", we are then able to evaluate a company's future ability to generate profits. Generally speaking, other things being equal, firms with a high return on equity and profit retention, have a higher growth rate than firms that don't share these attributes. Celebrus Technologies' Earnings Growth And 15% ROE To begin with, Celebrus Technologies seems to have a respectable ROE. Yet, the fact that the company's ROE is lower than the industry average of 20% does temper our expectations. Celebrus Technologies was still able to see a decent net income growth of 13% over the past five years. We reckon that there could be other factors at play here. Such as - high earnings retention or an efficient management in place. However, not to forget, the company does have a decent ROE to begin with, just that it is lower than the industry average. So this also does lend some color to the fairly high earnings growth seen by the company. As a next step, we compared Celebrus Technologies' net income growth with the industry, and pleasingly, we found that the growth seen by the company is higher than the average industry growth of 10.0%. Earnings growth is an important metric to consider when valuing a stock. It's important for an investor to know whether the market has priced in the company's expected earnings growth (or decline). Doing so will help them establish if the stock's future looks promising or ominous. Has the market priced in the future outlook for CLBS? You can find out in our latest intrinsic value infographic research report. Is Celebrus Technologies Making Efficient Use Of Its Profits? Celebrus Technologies has a three-year median payout ratio of 33%, which implies that it retains the remaining 67% of its profits. This suggests that its dividend is well covered, and given the decent growth seen by the company, it looks like management is reinvesting its earnings efficiently. Moreover, Celebrus Technologies is determined to keep sharing its profits with shareholders which we infer from its long history of paying a dividend for at least ten years. Based on the latest analysts' estimates, we found that the company's future payout ratio over the next three years is expected to hold steady at 35%. However, Celebrus Technologies' future ROE is expected to decline to 10% despite there being not much change anticipated in the company's payout ratio. Summary On the whole, we feel that Celebrus Technologies' performance has been quite good. Specifically, we like that it has been reinvesting a high portion of its profits at a moderate rate of return, resulting in earnings expansion. With that said, on studying the latest analyst forecasts, we found that while the company has seen growth in its past earnings, analysts expect its future earnings to shrink. Are these analysts expectations based on the broad expectations for the industry, or on the company's fundamentals? Click here to be taken to our analyst's forecasts page for the company. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
Yahoo
5 minutes ago
- Yahoo
How AI, robotics and late artist Morrisseau are helping fight art fraud
Famed Indigenous artist Norval Morrisseau was browsing a Vancouver gallery with his longtime friend Cory Dingle around 1993 when a painting stopped them in their tracks. The pair asked who created it. The answer? "Norval Morrisseau." The trouble? The artist had never seen the work, let alone painted it. "We had a little chuckle and we left," Dingle recalled. "Then, I said, 'What do you want to do about this?' He said, 'You know, you can't police the world.'" Morrisseau, who died in 2007, was a self-taught, trailblazing artist known for his pictographic style and membership in the Indian Group of Seven. He was the first Indigenous artist to have his work shown in a contemporary gallery in Canada and now his paintings sell for millions. But the incident Dingle remembers proved to be an omen. At least 6,000 fake paintings have since been uncovered, costing Morrisseau's estate $100 million in losses. The phenomenon amounts to what police have called the biggest art fraud in world history. Finding fakes is time consuming work. It requires co-operation from galleries and private collectors, a trained, critical eye cast on anything purporting to be made by the late artist and the patience to keep pursuing justice through the court system. But now a new tool has emerged to help the battle: artificial intelligence. Bogged down by the enormity of the task at hand, Morrisseau's estate, which is run by Dingle, partnered with two art-loving professors to build software nicknamed "Norval AI" about three years ago. It can analyze art pieces and determine the probability that they're a genuine Morrisseau. "Because the fakes were so terrible ... we got to a point with our AI that it was so good at picking them out," Dingle said. "There was no problem." Yet the estate knew fakes were still out there. They were just getting harder to detect because court hearings were revealing the tell-tale signs of a fake Morrisseau — thinner paint lines, for example — which allowed fraudsters to make their works even more convincing. Enter Chloë Ryan. The then-engineering student loved making large-scale abstract paintings. Even though such works could sell for a decent amount, they often take weeks or months to create, narrowing the odds that she could make artistry a viable career. She could make prints of her pieces, but they just weren't the same because they lacked the texture of a real painting. The conundrum became a source of inspiration for Ryan, leading her to start tinkering with robots and paint on her Montreal balcony. She eventually developed Acrylic Robotics, a company that uses technology to paint pieces at the behest of an artist. The process starts with an artist painting with a stylus on a drawing table, which acts like a massive tablet. Amazon Web Services software analyzes and logs every movement, detecting millions of details in the piece, including the strokes, brush pressure, pigment and speed. "We like to think of AI as a powerful magnifying glass," said Patricia Nielsen, AWS Canada's head of digital transformation and AI. "It can detect those patterns and the anomalies that might be invisible to the human eye ... so art experts, historians, can dig in further." With that data, Acrylic's robotic arm can then paint a replica so precise, Ryan says it's indistinguishable from an original — exactly what Dingle needed to put Norval AI to the test. A mutual connection put him in touch with Ryan last August. Shortly after, they got to work. Because Morrisseau isn't alive to paint images on Ryan's tablet, Acrylic's robot (Dingle affectionately calls it Dodo) had a more complicated feat to accomplish. Dingle would send Ryan a hi-resolution image of one of Morrisseau's works. Acrylic Robotics would then have an artist learn about eccentricities of his style and paint the piece before Acrylic's robot would give it a try. Everything the robot painted was analyzed by the estate and Norval AI. The two sides have been going back and forth for about a year, picking out errors in the robot's execution and poring over new works. Early editions had several spots where both the estate and Norval AI could tell the robot had stopped a long stroke to pick up more paint — something uncharacteristic of Morrisseau. "If you look at one of our works randomly on the street, you wouldn't be able to say that's made by a robot, but we can't yet do all art under the sun because there's a lot of techniques that we haven't yet built in," Ryan said. "We can't use every tool in an artist's arsenal yet. If an artist is out here finger painting, obviously we can't do stuff like that." Newer editions of the Morrisseaus are about 69 per cent accurate and expected to improve even more. But Dingle admits, "I have kind of been holding back on getting to 100 per cent." He's scared of developing anything too perfect before he and Acrylic Robotics have found a foolproof method for ensuring a Morrisseau recreation can't be passed off as the real thing. It's a concern Ryan shares. "The worst thing that could happen is that we release this without consultation with groups that have been harmed by art forgery and this technology is used against artists," she said. They're currently exploring markings or other features that can be embedded in pieces to denote they're not originals. Once they settle on an ideal method, they'll have an avenue to disseminate recreations of Morrisseau's work — responsibly. While some might think that's the last thing an estate plagued by forgeries would want to do, Dingle sees it as a way to bring Morrisseau's work to the people who would value it most. "There's two schools named after Norval. There are healing institutions. There are academic institutions. There are remote Indigenous communities," said Dingle, sitting in front of a rarely-shown Morrisseau. "They could never afford to buy this painting, to hang it in their halls, to have the healing and the lessons of it, so we need to be able to produce high level reproductions that bring the life of that painting to these places." This report by The Canadian Press was first published July 20, 2025. Tara Deschamps, The Canadian Press Sign in to access your portfolio
Los Angeles Times
6 minutes ago
- Los Angeles Times
Is AI a Career Threat or a Competitive Edge for Attorneys?
Why Lawyers and Firms are Racing to Become Tech Experts As artificial intelligence promises to reshape the legal profession, much of the conversation centers on which jobs will disappear. But attorneys looking to secure their future may need to flip the script: Rather than viewing AI as a threat, successful lawyers are becoming subject matter experts in the technology itself. 'To be effective counselors, attorneys working at the forefront of innovation need to understand the relevant technology at a deep level,' said Zachary M. Briers, a partner at Munger, Tolles & Olson LLP focusing on complex technology and intellectual property issues. 'When it comes to technology companies, almost all difficult legal issues turn on granular distinctions in technological advancements. This is particularly true with new platform technologies, such as AI, which defy conventional legal analyses,' Briers added. This need will only increase as litigation around artificial intelligence becomes more complex, according to Nathaniel L. Bach, a partner at Manatt, Phelps & Phillips, LLP. 'The more a lawsuit or advice implicates the inner workings of an AI model, the more attorneys will need to know to properly advise clients, ask the right questions of adversaries, and explain the technology to courts in both accurate and persuasive ways,' said Bach. Having more than 'a surface-level understanding' of AI may even be a matter of professional competence, said Daniel B. Garrie, a mediator, arbitrator and special master with JAMS, an alternative dispute resolution provider. He is also a founder and partner of Law & Forensics, a legal engineering firm. 'Lawyers are ethically obligated to stay abreast of technological advancements under the ABA's Model Rule 1.1, Comment 8,' said Garrie. 'A deeper comprehension of how AI systems function, including their design, data dependencies, and operational limitations, is crucial for providing competent advice, particularly in areas like eDiscovery, data privacy and intellectual property disputes,' he continued. Beyond helping to win cases and complying with ethical obligations, understanding AI could be a major career booster. David Lisson, the head of Davis Polk & Wardwell LLP's GenAI litigation initiative, said that the AI space represented a big opportunity for attorneys at the start of their career - a way to stand out from the pack. 'I always think the key to a successful junior associate is being an expert in something. And this is an area that you can really dig into,' he said. 'If you come and figure out what this model is doing and how it's doing it, you'll be the one that the senior attorney comes to, right? And you'll be the one that the client comes to because you're the one that understands what's actually going on.' From a branding perspective, at least, firms appear to understand the value in highlighting the AI credentials of their attorneys. Over the past two years, a flurry of AI practice groups has emerged in California and elsewhere. But experts, including those who head up these groups, acknowledge that this strategy will need to evolve. 'This trend has begun and will continue, but these groups will almost certainly evolve to be increasingly specialized over time, as it becomes clear that 'AI' is far too broad a category to usefully define a practice,' Keith Enright, cochair of Gibson, Dunn & Crutcher LLP's Artificial Intelligence Practice Group said. Bach said that AI practice groups were both 'a necessity and a calling card' for many firms. To be effective, these groups would need to encompass practice areas spanning intellectual property, privacy and technology. 'The AI space is too big and moves too fast for any one lawyer to know everything,' he said. That's a sentiment shared by Peter H. Werner, co-chair of Cooley LLP's global emerging companies and venture capital practice group. He said that the recent emergence of AI practice groups was 'similar to having an 'internet' practice group in the 1990s.' 'Some firms are forming 'AI practice groups' to signal to the market that they're focused on AI-related things. But the ubiquity of AI and related technologies will mean that the work that is done in every practice will be impacted by AI,' he said. He added that Cooley instead has 'an interdisciplinary, interdepartmental internal task force that's intended to be a clearinghouse to coordinate our work on AI-related matters, many of which implicate multiple practices.' Briers said that while 'most major firms now have a practice group that is dedicated to AI-related issues,' it was 'not enough that a few attorneys at each firm become familiar with this disruptive technology. It needs to be a firm-wide initiative.' Attorneys who wish to become AI-literate have options. Law schools appear attuned to the fact that there will be an increasing demand for such knowledge. A 2024 survey from the American Bar Association found that more than half of respondent schools now offer classes on AI. Many of these initial efforts focus on introducing students to the appropriate and ethical use of AI tools in their practice. However, some go further: UC Berkeley, for example, will begin offering a specialization in AI law and regulation this summer as part of its executive track LLM program, including a unit on the fundamentals of AI technology. The curriculum for the new certificate was designed in consultation with an advisory group of industry leaders, including representatives from Anthropic and Meta. Other schools are offering shorter standalone graduate certificates or programs in artificial intelligence for legal practitioners, including USC Gould School of Law and Harvard Law School. Beyond these programs, attorneys with an existing science, technology, engineering or mathematics (STEM) background might be at an advantage to their colleagues in an AI world, though legal experts disagree on the significance of this. 'The shift to AI is indeed an opportunity for attorneys with a background in computer science, data science, or engineering areas to gain a distinct advantage in understanding the nuances of AI-related legal challenges,' Garrie said. 'As AI legal work often intersects with technical fields like cybersecurity, data analytics and software licensing, firms may increasingly value and recruit legal talent with such dual credentials. This intersectional expertise enhances both client trust and legal efficacy,' he added. Clinton Ehrlich, a partner at Trial Lawyers for Justice who is a member of the U.S. 9th Circuit Court of Appeals Artificial Intelligence Committee and has a computer science background, said lawyers working on AI cases or issues was analogous to lawyers working in the patent space, where many attorneys have a STEM background. 'This is an area of the law where skills are required beyond those that most generalists have,' Ehrlich said. 'It doesn't mean that a generalist couldn't be involved on a team that's litigating a case involving questions about AI, but I think it's very important to have at least one team member with really deep domain knowledge of how these systems work, so that you aren't just translating everything through the medium of popular science,' he said. Others were more circumspect, emphasizing that a willingness to learn and engage was far more important than prior education experience. Werner said that attorneys 'don't necessarily need a technical degree for most things, but you need curiosity. The best lawyers are quick studies. We work with cutting edge technology and life sciences companies, using complex methodologies to do complicated things.' He predicted that as the law and technology become increasingly intertwined, we could witness 'hybrid teams of people at firms that include lawyers and technologists that collectively pitch for and deliver service to clients – think e-discovery on steroids.' According to Enright, 'Intellectual fluidity and the ability to frame questions effectively will be vastly more valuable than a STEM background.' Vivek Mohan, the other co-chair of Gibson Dunn's artificial intelligence practice, said that whenever he talks to law students and recent graduates interested in the practice area, he tells them, 'I look for ongoing, demonstrated interest. Certainly, an undergraduate degree in a related area is a strong signal of interest.' But he cautioned that an attorney's role is 'not to substitute ourselves for the engineers or AI researchers at our companies. It is to listen carefully, ask probing questions and then provide the best legal advice we can.' He added that attorneys interested in AI should get comfortable with occasionally not knowing what is going on with AI models, given even their engineers are not always able to explain how a model reached a particular answer. 'Learn what you can, but you have to be able to get comfortable with operating in an environment that carries a certain degree of uncertainty,' he advised. The other risk of overemphasizing prior education? Instilling a sense that technological stasis is acceptable, said Briers. 'An engineering background might be helpful in understanding these new technologies, but it's not necessary. In my experience, too many attorneys who lack a STEM background use it as an excuse to not learn new technological skills. They do so to the detriment of their clients' interests,' he said. The Los Angeles/San Francisco Daily Journal is a publication for lawyers practicing in California, featuring updates on the courts, regulatory changes, the State Bar and the legal community at large.
