EveLab Insight Debuts Dynamic Wrinkle Detection Technology at VivaTech 2025, Shaping the Future of AI-Powered Skin Wellness

Dynamic wrinkle capture
EveLab Insight at VivaTech 2025 – Live Demo at the Exhibition Booth
SINGAPORE, June 23, 2025 (GLOBE NEWSWIRE) -- EveLab Insight, a global leader in AI skin analysis technology, successfully concluded its debut at VivaTech 2025, Europe's premier innovation and technology event. From June 11-14, the company showcased a major advancement in visual AI: real-time dynamic wrinkle analysis, which brings a new dimension to personalized early-ageing awareness and skincare strategies.
From Static Images to Smart, Dynamic Skin Analysis
Traditional skin assessments rely on static imaging, capturing only a momentary view of the skin's surface. EveLab Insight's latest innovation applies dynamic video-based analysis to observe how the skin responds to facial expressions and micro-movements. By tracking the appearance and fading of expression-related lines in real time, the technology enables a more thorough understanding of visible skin behavior over time.
'Our solution doesn't just analyze the skin—it reads how it moves and adapts,' said Yolanda Ching, Head of Global Sales & Marketing at EveLab Insight. 'This brings new value to brands and professionals seeking more personalized, data-driven approaches to skin care.'
Expression lines—such as crow's feet or forehead creases—often appear prior to long-term texture changes, and may reflect early signs of reduced skin elasticity. By identifying these patterns, brands and consultants can offer more timely, tailored skincare solutions aligned with individual skin behavior.
Introducing AI Skin Aging Trajectories
This breakthrough forms part of EveLab Insight's strategy to build an AI foundation model for skin analysis. By combining static images with dynamic behavioral data, the company is developing a solution to help users and beauty professionals track and assess evolving skin patterns over time—what EveLab calls the 'skin aging timeline.'
These insights enables more informed product recommendations and personalized skincare journeys—whether focused on hydration, firmness, or smoothing—based on how each individual's skin responds to movement and environment.
A Global Partner in AI Skin-Tech
To date, EveLab Insight's solutions have been adopted in over 4,500 physical retail locations worldwide, and the company has formed strategic partnerships with more than 200 clients, including Shiseido, Dr. Barbara Sturm, and Sulwhasoo. Its AI-powered solutions are integrated across flagship stores, spas, and experiential events—enhancing customer engagement and delivering consistent, tech-enabled skin health consultations.
At VivaTech 2025, EveLab Insight's live demonstrations attracted strong attention from top global brand's executives, investors, and media. Attendees praised the platform's accuracy, clarity, and real-time interaction, as well as its ability to support customized customer experiences across markets.
About EveLab InsightEveLab Insight is uncovering the ground truth of skin through science and AI. By working with leading global skincare brands, spas, and aesthetic clinics, we transform our customers' R&D process more data-driven and rigorous, delivering smarter and more personalized skin health and beauty solutions.
EveLab Insight is more a technology company. We are transforming the skincare industry and empowers its participants by seamlessly blending science, beauty, health and innovative consumer experiences.
For media inquiries or partnership opportunities, visit www.evelabinsight.com or contact alison@evelabinsight.com
Photos accompanying this announcement are available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/62a3e03c-c2e6-4474-8021-cb1d8bafb465
https://www.globenewswire.com/NewsRoom/AttachmentNg/56abd099-5f4a-40b0-bcb1-87acf7fed435Errore nel recupero dei dati
Effettua l'accesso per consultare il tuo portafoglio
Errore nel recupero dei dati
Errore nel recupero dei dati
Errore nel recupero dei dati
Errore nel recupero dei dati

Try Our AI Features

Explore what Daily8 AI can do for you:

Learn with AIFact CheckingText to SpeechAI Summary

Related Articles

Forbes

26 minutes ago

• Forbes

Forging A Responsible, Secure Way Forward For Open-Source AI

Dirk-Peter van Leeuwen is the CEO of SUSE, a global leader in innovative, reliable and secure enterprise open source solutions. As AI adoption continues to accelerate, the focus is shifting from experimentation to execution. How do businesses harness AI's potential in ways that are practical, principled and at scale? The answer lies in an open approach. Organizations can achieve responsible, transparent and secure AI through open-source tools and open platforms that foster innovation without locking it behind proprietary walls. With large language models and other AI technologies evolving at lightning speed, agility and adaptability are essential—and an open, collaborative ecosystem can keep up. My conviction comes from observing previous technical revolutions that have moved from experimentation to scale. Large-scale adoption while keeping the pace of innovation only really happened when open source (and its community) was at its heart. Linux stands as a powerful testament to the value of open-source development. By making its code freely available, Linux invited a global community of developers to collaborate, test and innovate—resulting in one of the most secure and scalable operating systems in the world. Today, it runs everything from smartphones to supercomputers, proving that openness doesn't hinder progress—it accelerates it. Kubernetes is the backbone of modern cloud infrastructure. It enables scalable, vendor-neutral application deployments as well as open internet protocols, which enable the interoperable, decentralized growth of the internet. This proves that open standards can scale globally and empower billions without centralized control. As we chart the future of AI, embracing similar openness can ensure the technology benefits from collective expertise and serves the broader good. Understanding Open-Source AI Before diving into what an open approach to AI looks like in practice, we must first understand what 'open-source AI' really means. Defining it is a complex and evolving effort involving plenty of debate, but creating a standard is helpful for providing clear guidelines, promoting transparency and trust, and accelerating innovation and collaboration. One formal definition that has emerged comes from the Open Source Initiative (OSI): the Open Source AI Definition (OSAID), which is a work in progress that we endorse. At a high level, the OSAID defines open-source AI as an AI system that allows users to: • 'Use the system for any purpose and without having to ask for permission.' • 'Study how the system works and inspect its components.' • 'Modify the system for any purpose, including to change its output.' • 'Share the system for others to use with or without modifications, for any purpose.' I will be referencing the OSAID when discussing an open approach to AI. Ultimately, whichever definition you endorse, openness remains essential to building trust and driving AI progress. Building Blocks For Trustworthy And Open AI There are three cornerstones for a future where AI innovation is both fast-moving and fundamentally trustworthy: open datasets, open infrastructure and regulatory guardrails/legal frameworks. How to treat datasets used for training is a subject of debate because, unlike source code, data influences models through patterns and can include proprietary or sensitive information. Finding the right balance between openness and legal protections and practical restrictions is key. This is why the OSAID emphasizes making training data accessible to the public and ensuring transparency about all datasets and the process for cleaning and labeling them. Robust, open infrastructure is another critical factor for quick and secure GenAI deployments when security and observability are built into the platform. The benefits of this approach include flexibility and interoperability; applications can seamlessly integrate with a variety of technologies and platforms. Open infrastructure also allows for customization and avoids vendor lock-in. Organizations are under stricter scrutiny for their risk and security management, and that also applies to how they use AI. Regulatory guardrails and legal frameworks are essential to ensuring secure and responsible AI use against threats like data leakage, prompt injection attacks and modern manipulation—all of which can result in costly repercussions. How Businesses Can Adopt An Open Approach To AI In reality, most businesses can't achieve complete open source for AI use given legal and practical constraints like data privacy laws, intellectual property protection and the risk of misuse or security threats. Additionally, the complexity of scaling AI infrastructure and potential legal liability make companies cautious about releasing powerful models without safeguards. So what does an open approach to AI look like in practice? Leveraging the building blocks I mentioned earlier, let's look at some of the key implementation strategies: This first step is key to IP protection, as depending on the sensitivity of the information, different levels of openness may be applied. Your organization's guidelines for AI access and usage should prioritize data governance and security and proportion restrictions by risk level. Consider zero-trust security frameworks and conduct regular auditing and monitoring of AI systems using observability tools to detect and nip problems in the bud. Open weights refer to the final parameters of a trained AI model made publicly available. They differ from open-source AI in that they usually don't allow access to the model's architecture, training data and code. Since training AI models is a time-consuming, resource-intensive and expensive process, it's more realistic for most organizations to use, distribute and modify open weights instead of training a model from scratch. Open Source: The Future Of AI AI innovation and execution are moving at breakneck speed, but it requires an open approach to truly succeed through fostering transparency and trust and focusing on flexibility and security. Embracing open-source principles for AI models, data and infrastructure is key to unlocking AI's full potential while also ensuring it remains agile, trustworthy and, ultimately, beneficial for all. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Yahoo

26 minutes ago

• Yahoo

TikTok parent ByteDance is shutting down its short-lived book publisher

TikTok parent ByteDance's book publisher 8th Note Press is closing up shop, according to a report from The Bookseller. Through its #BookTok community, TikTok has become an irreplaceable engine for publishers to drive book sales; even self-published authors have found unprecedented success by capturing a viral moment on TikTok. TikTok's parent company took the next logical step in 2023, figuring that if the app was revolutionizing book sales, then it may as well cash in on selling its own books. But ByteDance's foray into publishing is being cut short. While authors were drawn to 8th Note Press because it seemed like its affiliation with TikTok could drive sales, the press is now telling writers that it will shut down and give them their publication rights back. It's not clear why ByteDance has shut down the press after such a short lifespan. The company has not responded to TechCrunch's request for comment, nor has it responded to requests from any other outlets thus far. Sign in to access your portfolio

CNET

31 minutes ago

• CNET

Google and Lenovo Created the 'Most Advanced Chromebook Plus Yet'

Hot on the heels of Google I/O, the company's annual developer conference, Google is rolling out updates to ChromeOS and a new flagship laptop to show them off: the Lenovo Chromebook Plus 14. Designed to help take advantage of AI software like Gemini and NotebookLM, the new Chromebook Plus has some impressive specs for a $650 laptop. Not just dirt-cheap and simple devices for the absolute basics, there are Chromebooks among some of the best laptops currently available. I don't doubt that when I get done testing this new Lenovo, it'll join them. About the Lenovo Chromebook Plus 14 Lenovo's latest Chromebook Plus looks and feels like a premium laptop, but it'll start at only $650 when it arrives in late June. Google says it's the first Chromebook Plus to run on an Arm chip and the first ever to use the MediaTek Kompanio Ultra chip. That should not only give it good AI performance but extraordinary battery life -- up to 17 hours. MediaTek Kompanio Ultra chip ( 50 TOPS 12GB ($650) or 16GB ($750) of RAM OLED (touchscreen available) Dolby Atmos Fingerprint reader The Lenovo Chromebook Plus 14 will also have two exclusive on-device AI features. Smart grouping will scan your current open tabs and documents and use AI to recommend organizing them into logical groups. For example, if you're planning a trip or organizing an event, it'll be able to suggest a grouping of all the relevant information you have open. The other exclusive feature is image editing straight from the Gallery app. It'll add advanced AI options like removing backgrounds or creating stickers. AI updates for ChromeOS Google also announced new features that will roll out to Chromebook Plus models starting today. The most helpful for me is the addition of select to search and text capture. Just like Circle to Search, you'll be able to highlight a picture or text and get instant Google search results. Text capture can be used similarly to pull data into Google Workspace apps or calendars. Google The Quick Insert key, which first appeared last year on the Samsung Galaxy Chromebook Plus, lets you easily get contextual writing help. Now, you'll be able to highlight text and generate AI images based on that text. For example, I wrote an email about a Fourth of July barbecue, highlighted the text, and it produced a flyer for the event (packed with typos, but still). The other big addition is that NotebookLM will come installed on every Chromebook Plus. It's an AI tool can ingest complex materials like research papers and help simplify them. You can then ask it questions like a chatbot, but the answers only come from the information you've given it. It can even generate a podcast from it. Every Chromebook Plus includes one year of Google's AI Pro plan, which really lets you sink into Google Gemini AI, including its Veo 3 AI video generator. Just don't get too attached, unless you're willing to pay $240 once the first year ends.