A Bahrain-based luxury retailer just launched an AI personal stylist that works in 52 languages and ships to more than 150 countries — and the more interesting story isn’t the AI, it’s the languages. Most AI styling tools that have rolled out over the past two years were built English-first, tested on U.S. and Western European shoppers, then translated as an afterthought. This launch flips that order, and it points to where AI fashion tools are actually headed next.

What Just Launched

Brands Seekers, a Bahrain-headquartered luxury fashion platform that ships from Italy, introduced its proprietary Luxury Fashion Concierge AI Personal Stylist while simultaneously expanding the site itself to 52 languages, including Arabic, Hindi, Chinese, Japanese, Korean, and a long list of European languages. The catalog spans more than 350 brands — BOSS, Calvin Klein, Tommy Hilfiger, Armani Exchange, Guess, Karl Lagerfeld, Dsquared2, PINKO, Liu Jo, and Philipp Plein among them.

The stylist itself works the way most AI shopping assistants do on paper: tell it the occasion, budget, dress code, color preference, and season, and it builds a complete outfit — clothing, shoes, bag, accessories — pulled exclusively from live inventory, with a plain-language explanation of why each piece was chosen. Founder and CEO Ali AlShuwaikh framed the goal directly: “Luxury fashion shopping should feel personal and accessible regardless of a customer’s language or location.”

That last phrase — regardless of language or location — is doing more work than it might look like at first read.

Why the Language Rollout Is the Real Signal

Walk through almost any AI stylist or virtual try-on tool that’s launched at a major fashion retailer this year, and the pattern repeats: English interface, U.S. sizing assumptions, a handful of European markets added later if adoption justifies the engineering cost. That’s not a knock on the technology — it’s a reflection of where the training data, the QA teams, and the initial customer base tend to sit.

The problem is that luxury demand doesn’t sit there. A meaningful share of global luxury spending has been coming from Gulf, Southeast Asian, and South Asian shoppers for years, and a huge portion of that shopping now happens online, in a shopper’s own language, often through a phone rather than a desktop browser. An AI stylist that only reasons well in English is effectively invisible to a large slice of the customers luxury brands most want to reach. Building the styling logic and the localization layer at the same time — rather than bolting translation onto an English-first product — is a genuinely different design choice, and it’s the part of this launch worth paying attention to if you’re tracking where AI fashion tools are actually improving versus where they’re just adding a new feature to an old interface.

It also raises the bar. Once one platform proves an AI stylist can operate credibly across 52 languages and 150-plus countries, “we’ll add more languages eventually” becomes a much weaker answer for competitors — including the bigger retail names that have leaned on English-first agentic shopping tools this year.

What This Means Going Forward

For shoppers, the practical upside is straightforward: an AI stylist that reasons in your own language should give recommendations that account for how you actually describe fit, occasion, and style — not a translated approximation of a recommendation built for someone else’s shopping habits. For the industry, this is a useful data point on where the next round of AI fashion tool competition is likely to happen: not purely on how clever the styling logic is, but on how many real shoppers, in how many markets, the tool can actually serve well. Expect more platforms to talk about localization the way they’ve talked about AI checkout and conversational commerce over the past year — because right now, it’s the gap that’s easier to exploit.

FAQ

Is this the first AI stylist available in this many languages?
It’s among the broadest simultaneous language rollouts paired with an AI styling feature at a fashion retailer to date, though rapid AI localization work is happening industry-wide, so the field will likely narrow quickly.

Does the AI stylist recommend items that aren’t actually in stock?
No — per the company, recommendations are pulled exclusively from live inventory, so it won’t suggest unavailable or discontinued pieces.

Why does language support matter more than the AI itself?
Because the styling logic behind most AI fashion tools is converging fast, while genuine multilingual, multi-market support is still rare — making it one of the clearer ways to tell which platforms are built for a global customer base versus a single home market.

Source: IssueWire, coverage of Brands Seekers’ Luxury Fashion Concierge AI Personal Stylist launch (published July 17, 2026), https://www.issuewire.com/brands-seekers-expands-ai-powered-luxury-fashion-shopping-across-52-languages-1870796191048108

By Michelle Jones, Fashion News GF

A new data set just put a real number on something the industry has been claiming for years: AI virtual try-on doesn’t just look impressive in a demo, it measurably changes whether someone actually buys. A July 2026 report from try-on company DRESSX, built from 1.2 million shoppers across 216 countries, found that luxury shoppers who used a try-on feature converted at rates up to roughly ten times higher than those who didn’t. That’s not a rounding-error improvement — it’s the kind of gap that reshapes how a fashion e-commerce team prioritizes its roadmap.

What the New Data Actually Shows

The report tracked shopper behavior across luxury platforms including Victoria Beckham, Loulou de Saison, TTSWTR, and Pascal, comparing people who engaged with an AI try-on tool against those who browsed the same catalog without it. The headline numbers:

• Cart adds: try-on users added items to cart at an 11% rate versus 4% for non-users — roughly 3x higher.
• Purchases: try-on users converted at 3% versus 2% for non-users overall, a 50% lift.
• Luxury specifically: the gap widens sharply — 10% view-to-cart for try-on users versus 2% for non-users, and 2.8% view-to-purchase versus just 0.3% for non-users.
• Retention: 49% of try-on users returned the next day versus 6% of non-users; at 30 days it was 44% versus 1%.
• Browsing depth: try-on users viewed roughly 7x more product listings and ran 25% more searches per session.

For context, average online fashion conversion sits around 1-2%, and luxury e-commerce typically converts even lower than that — often cited around 0.7-0.8% — against 23-30% for in-person retail, where shoppers can physically try something on before paying for it. That in-person advantage is exactly the gap AI try-on is designed to close.

Why the Luxury Gap Is So Much Bigger Than the Overall Number

The most interesting detail in the report isn’t the topline “50% higher” stat most coverage led with — it’s the breakdown by price tier. Engagement with try-on tools climbed steadily as price went up: about 4% of shoppers used it on items under $50, rising to 19% for $100-249, 22-23% for $250-999, and 27% for anything over $1,000.

That pattern lines up with what fashion retailers already know anecdotally: the more expensive an item is, the more a shopper needs to resolve doubt before paying for it. A $30 t-shirt is a low-stakes guess. A $900 coat is a real financial decision, and “will this actually look right on me” is often the exact thing stopping someone from checking out. AI try-on — DRESSX’s version uses silhouette mapping, fabric modeling, and generative rendering to show the garment on a shopper’s own body shape — directly answers that question before the shopper has to submit a card number. It’s also worth noting 70% of this engagement happened on mobile, where that kind of pre-purchase doubt is hardest to resolve any other way (no dressing room, no returns desk nearby).

What This Means If You’re Shopping — or Building a Fashion Site

For shoppers, the practical takeaway is simple: if a site you’re browsing offers a try-on feature, using it isn’t just a novelty — the data suggests it genuinely correlates with fewer regret purchases and fewer returns, since apparel return rates industry-wide still sit at a rough 30-40%. For anyone building or running a fashion e-commerce operation, the report is a fairly direct argument that try-on tooling belongs closer to the top of the roadmap than “nice-to-have,” particularly for anything priced above the impulse-buy threshold. We covered the broader shift of AI moving from a discovery gimmick into an actual point-of-sale tool in our recent look at AI checkout going live across major retailers — this new data is effectively the receipts for why that shift is happening.

FAQ

Does AI virtual try-on actually reduce returns, or just boost sales?
The report ties try-on usage to both — higher conversion and, separately, industry data on try-on tools generally showing meaningfully lower return rates, since shoppers have already seen a rendering of fit and drape before committing to buy.

Is this data specific to luxury brands, or does it apply to fashion e-commerce broadly?
The steepest gains were in the luxury segment specifically, but the underlying pattern — higher price, higher try-on engagement, higher conversion lift — showed up across price tiers in the full data set, not just at the top end.

What technology is actually behind these try-on tools?
DRESSX’s system, which supplied this data, combines silhouette mapping, fabric modeling, and generative AI to render how a specific garment would look on a shopper’s own body, rather than showing it on a generic model.

By Michelle Jones, Fashion News GF

Source: Business of Fashion & Marketing Tech News, coverage of the DRESSX 2026 AI Virtual Try-On Report (published July 23, 2026), https://www.marketingtechnews.net/news/ai-try-on-ecommerce-conversion-dressx-study/

Updated July 2026 | By Michelle Jones, Fashion News GF

AI shopping just stopped being a novelty. Over the past few months, a handful of major fashion and beauty retailers quietly turned “chat with an AI about clothes” into “buy clothes without ever leaving the chat.” If you’ve been half-ignoring the AI-shopping headlines because they sounded theoretical, this is the point where it became real — and where it’s worth understanding what’s actually live before you accidentally check out inside a chatbot.

From Discovery Tool to Real Sales Channel

For the past couple of years, AI’s role in fashion shopping was mostly about discovery — a styling assistant suggesting outfits, a chatbot answering sizing questions. Checkout still happened on the brand’s own website. That wall has started coming down in 2026.

A recent mid-year retail technology recap flagged AI-powered checkout as one of the defining fashion retail stories of the first half of 2026 — not because one brand tried it, but because several did, independently, within months of each other. Industry estimates from Bain & Company put the agentic AI commerce market at $300–500 billion by 2030, and McKinsey has estimated AI agents could eventually generate as much as $1 trillion in U.S. retail revenue. Those are the kinds of numbers that turn an experiment into a roadmap.

Who’s Actually Live Right Now

Gap became the first major fashion company to offer in-chat checkout, letting shoppers buy directly from its house of brands inside Google’s Gemini using Google’s Universal Commerce Protocol (UCP) — a framework built to give retailers more control over the AI shopping experience than earlier, discovery-only integrations allowed. Ulta Beauty followed with a similar Gemini checkout setup shortly after.

JD Sports Fashion took a different technical route, becoming the first enterprise retailer to deploy Stripe’s Agentic Commerce Suite alongside commercetools’ AI Hub. That combination connects AI platforms — starting with Microsoft Copilot, with Google Gemini and OpenAI’s ChatGPT to follow — directly to JD’s real-time inventory and a secure checkout, so shoppers can go from “find me running shoes” to a completed purchase without a browser tab. JD Sports CEO Regis Schultz summed up the logic behind the move plainly: the company wants to “reach customers wherever shopping decisions are happening,” and did it without a full platform rebuild.

Not every AI platform is playing the same game, either — OpenAI quietly shut down its own Instant Checkout feature earlier this year, reportedly because it didn’t offer the flexibility OpenAI wanted, while Google’s UCP has picked up more than 20 retail partners since launch. That split matters: it means “AI checkout” isn’t one standard yet, it’s several competing ones, and which platform a brand builds for changes what the experience actually looks like.

What This Actually Means If You Shop

Practically, if you’re already asking ChatGPT, Gemini, or Copilot for outfit or gift ideas, don’t be surprised if a “buy now” option starts showing up inside that same conversation for a growing list of brands. It’s genuinely convenient — no re-typing your size and shipping address into five different sites. But it’s also new enough that the usual advice applies: check that you’re completing payment through the retailer’s actual verified integration (Stripe, in JD Sports’ case) rather than a lookalike prompt, and don’t assume every AI platform handles your saved payment details the same way. Agentic commerce is being built for speed; the fraud-prevention habits you already use for online shopping still apply here.

FAQ

What is “agentic commerce” in fashion retail?
It’s shorthand for letting an AI platform (like ChatGPT, Gemini, or Copilot) handle the full shopping journey — product discovery, sizing, and checkout — inside the chat itself, instead of redirecting you to the retailer’s website to complete the purchase.

Which fashion or beauty brands currently let you check out inside an AI chatbot?
Gap and Ulta Beauty both support in-chat checkout through Google’s Gemini via the Universal Commerce Protocol. JD Sports Fashion supports AI-driven checkout through Microsoft Copilot via Stripe’s Agentic Commerce Suite, with Gemini and ChatGPT support expected to follow.

Is it safe to buy clothes through an AI chatbot?
The retailers rolling this out are using established payment infrastructure (like Stripe) rather than building custom checkout from scratch, which is a good sign. Still, treat it like any new payment method: confirm you’re in an official, verified integration before entering card details, and watch for lookalike prompts that aren’t actually connected to the retailer.

Source: Retail Technology Innovation Hub — “Physical flops, AI successes and QR code wins: the biggest retail technology stories from H1 2026,” https://retailtechinnovationhub.com/home/2026/7/5/physical-flops-ai-successes-and-qr-code-wins-the-biggest-retail-technology-stories-from-h1-2026

Source: CNBC — “Gap says it will launch checkout within Google’s Gemini, in an AI first from a major fashion company,” https://www.cnbc.com/2026/03/24/gap-google-gemini-checkout-ai-platform.html

Intelligent Diva & AI Reimaginated: Chincia Kenner Launches Historic AI Fashion Show Series

Groundbreaking Initiative Mixes AI, Fashion, and Music

June 12, 2025 – Chincia Kenner, known as Intelligent Diva, has started the AI Reimaginated fashion show series. The series uses AI to drive a bold fashion event. It earned a spot on IMDb. This season marks a step for independent talent in fashion.

A Vision Realized

Kenner leads the AI Reimaginated series. She acts as both the AI fashion designer and the musical artist. The show pairs AI-made designs with sound made by Intelligent Diva Music and Diva Underground Records. This mix of new sound and design brings art and tech close.

Breaking Barriers

Kenner uses strong AI tools. She shuns the old limits of costly shows and slim budgets. The new style makes fashion available to more people and small teams. It points to a way for small businesses to try fresh ideas without heavy money needs.

Introducing Chelsea: The AI Host

A star in the show is Chelsea. She is an AI host built by Kenner. Chelsea guides each episode with clear steps. Her role shows how AI can boost a viewer’s ride and turn the show into a neat experience. This step sets a new mark in AI use in fashion events.

Expanding the Fashion Frontier

Kenner’s art goes past normal runways. She has started an NFT fashion show that blends the online with the real world. This project shows digital fashion pieces along with in-store items at the IDM Merch Boutique. The mix gives the audience a full view of this fast-changing field.

The I CANNOT Shoe Collection

Kenner also presents the I CANNOT Shoe Collection with Alive Shoes. This line gives strength to people through style. It pushes a clear word on self-expression and finding one’s own look.

Catch Intelligent Diva on Indie On The Rise

Fans keen to know more about Kenner’s work can see her feature on Indie On The Rise this month. More details about her talk will come soon. The show promises a closer look at the work behind her art.

Experience the Fashion Shows

Fans can watch the Cookie Contour Fashion Show on YouTube using this link. They can also view the NFT AI Fashion Show at this link. The AI Reimaginated series streams on Vimeo and Roku.

To tie music with fashion, Intelligent Diva’s latest song, "Cookie," plays on Spotify. This track mirrors the union of sound and digital style in the series.

About Intelligent Diva

Chincia Kenner drives the Intelligent Diva brand. She is a mixed artist and tech expert. With many tech skills, she brings a fresh look that joins tech with art. Her work challenges old views and helps shape a new future for fashion.

For more on Intelligent Diva and her work, visit her official website.

Contact Information:

Intelligent Diva Music
Chincia Kenner
Contact Email: Contact Me
Country: United States

This press release was produced by Getnews and distributed by Release News – PR Distribution.

AIO Launches AI-Driven Fashion Design Platform to Promote Sustainability and Innovation in Apparel

June 11, 2025
Ellen Smith

AIO has built a platform that uses AI for designing clothes. The new tool shifts how brands plan, test, and make apparel. It gives designers a set of tools that help shape ideas and speed up work.

Streamlining the Creative Process

The platform runs with AI that creates designs. This tool helps experts form new ideas while cutting costs. It brings design choices close to the artist. The words and images link in a clear way. Designers can try new ideas with small steps.

Emphasizing Sustainability

A main aim is to care for the earth. The system cuts down waste when designing and making clothes. The tool meets a need for earth-friendly methods. It helps makers build new clothes without harm to nature.

A Tool for All Designers

This tech works for big brands and small groups. It gives access to smart design for many creators. The tool helps them save time and speed up their work. It makes AI a common part of forming ideas.

Industry Implications

AIO’s tool opens new views for the industry. Here are some key points:

1. AI in Fashion: Using AI changes how garments form and get made. Old steps shift as work gets faster.
2. Cleaner Making: Cutting waste pushes makers to work with care for the earth. Companies try new paths to meet green goals.
3. Creative Apps: More creators now use apps made with AI for design. This change brings fresh work in design software.

Conclusion

The AIO platform marks a turning point for tech and fashion. It blends smart ideas with fast work and care for nature. Many see the growth this tool can bring. The system may spark new design work and support an earth-friendly future.

For those who view tech as a way to move design ahead, AIO stands as a clear choice.

Will AI Technology Transform Online Shopping? A Hands-On Test of GlanceAI and Google Try-On

Online shopping now is common. Many people face problems when they shop. Capital One Shopping shows that 124 million Americans buy clothes online. One out of four items returns to the seller. This fact means big losses for stores and extra waste in shipping. New AI tools may soon cut returns and make shopping smoother.

The Evolution of Online Shopping

Shopping in physical stores is now rare. People see flat images, small charts of size, and many rules for returns. This situation makes buying clothes feel like a guessing game. New AI systems try to fix these old problems.

I tested two products: GlanceAI and Google Try-On. My hands-on experience gave me clear ideas on how they work.

GlanceAI: Your Personal Virtual Stylist

GlanceAI gives outfit tips for free. You use it on iOS or Android. You upload a full-body selfie, and the app shows you images of yourself in different outfits. It picks styles based on your body, skin color, and local weather. The app uses you as the model. Naveen Tewari, the CEO of GlanceAI, said, "We help you find the best version of you."

When I tried GlanceAI, the outfits felt close to my taste. I saw options fit for work and casual events. A simple thumbs-up or thumbs-down helps the app learn your style.

Areas for Improvement

GlanceAI still has limits. For example, when you choose a style group like "Dopamine Dressing," the app may show items that do not match your choice. There is no simple search for a style or brand. This lack makes it hard to get exactly what you want.

The app also does not serve plus-size, non-binary, or adaptive customers well. The team plans to fix these gaps with new updates and more brand ties.

The Future of GlanceAI

GlanceAI brings a fun way to shop online. Its user experience is neat and friendly. Users can share their feedback to shape future updates.

Google Try-On: Advanced AI Meets Search Ease

Google Try-On works inside Google Search Labs. It also uses a full-length selfie and shows how clothes fit on you. The tool uses AI to put the item on your photo with care.

You search for an item such as "white linen blazer under $100" and tap "Try It On." Then, you upload your picture. Google puts the clothing over your image in a clear way. Google’s Shopping Graph holds over 50 billion products. The list updates fast. Items stay on your device unless you save or share them.

Shortcomings of Google Try-On

Using Google Try-On may bring some trouble. The tool does not show clear labels or choices to tell which products you can try on. I found the option by chance when I looked for jeans. While the tool shows real images, it feels like a test rather than a final tool for buying.

Comparing GlanceAI and Google Try-On

GlanceAI and Google Try-On both change online shopping. GlanceAI gives a fun style search. Google Try-On gives a clear style view. Each tool handles different parts of online shopping. Both can suit buyers who want better online choices.

More Tools to Check Out

If you need more help with online shopping, try these two tools:

• Beni: A browser add-on that finds secondhand items and saves money.
• Croissant: An app that shows item resale prices for smart choices.

New AI tools shape the way people buy online. They bring fresh ways to cut returns and make the buying process more clear.

Stay tuned for more news on tech and shopping by following updates on social media and other trusted sites.

Trigema’s Iconic Chimpanzee Charly Returns as AI Fashion Influencer

Burladingen, Germany — Trigema makes clothes. Trigema lifts its past with a new twist. The company brings back its chimpanzee, Charly. Charly now works with AI to guide fashion. This change ties the old values close to new tech.

The New Leadership and Vision

After many years, Wolfgang Grupp Senior steps aside. His children, Wolfgang Junior and Bonita, along with his wife, Elisabeth, take charge in early 2024. They mix old ideas with new tech. Their plan keeps core beliefs near while adding fresh marketing goals.

Wolfgang Junior said, "We have always said: the chimpanzee stays. In our new campaign, we use AI to shape Charly as a fashion helper. This change gives us more room for quick, clear ideas." His words link the mascot to Trigema’s old story and give Charly a life of his own.

A Modern Spin on Tradition

In work with the creative group Thjnk, the first TV ad with Charly as AI fashion guide starts soon. The ad, made with Saltwater, shows Jan Hofer. Hofer, known from ARD and RTL, says Charly now leads in fashion. His role ties past success to a bold new look.

Stefan Schulte, Chief Creative Officer at Thjnk, said, "Trigema is a trusted name; Charly stands with that trust. The company sticks with firm ideas on making clothes in a clean way. We share this tale in a fresh, simple tone." His words connect the history of Trigema with the clear steps ahead.

Focus on Values and Sustainability

Bonita Grupp stressed that the brand holds fast to its core. "We worked hard to keep the chimpanzee and our ideas intact. After over 30 years with the same ad plan, we had to find a new route that feels right and looks ahead," she said. The work with Thjnk ties tradition close to new ways that meet today’s taste.

Jan Hofer’s Enthusiastic Participation

Jan Hofer shared his pleasure at joining this change. "Showing Charly as an AI fashion guide marks a key change. It proves that old ways and new tricks can fit side by side," he said.

Trigema now writes a new page in its tale. The new plan aims to please old friends and gain new fans. For more on this shift and more industry news, readers are invited to join the Trigema newsletter.

TOKYO AI Fashion Week 2025: Call for Submissions and Upcoming Events

A Special Meeting of Fashion and Technology

The TOKYO AI Fashion Week 2025 begins on May 1st, 2025. OpenFashion organizes it. Fashion and AI come close here. The show brings new art and design. Fans and experts join the event. This is the third time it takes place. New ties of fashion and tech appear throughout.

Fashion Design Contest: "Neo-Japonisme"

A main part of the week is the Fashion Design Contest. The theme is "Neo-Japonisme." Designers use this idea to show modern Japanese style. They use AI to build images from their thoughts.

Submission details:

• Eligibility: Any participant from near and far may join.
• Submission period: May 1st to May 21st, 2025.
• Prizes:
  • Grand Prize: ¥200,000 for the best work.
  • Runner-Up Prizes: Two awards of ¥50,000 each.
• Announcement of winners: Winners come out in early July 2025. ### Seminar Series: The Future of AI in Fashion

A series of talks covers AI in fashion. The seminar is called "The Future of AI and Fashion #5." Toru Ueda, CEO of OpenFashion, leads the talk. Other experts join him on stage. Attendees hear real examples of brands that use AI for design and marketing. They get clear ideas about AI platforms like MaisonAI. The talk happens during the 1st Tokyo Textile Scope 2026 Spring/Summer event. A lively talk forms between tech work and textile work.

Seminar details:

• Date and Time: May 15th, 2025; doors open at 1:30 PM, talk starts at 2:00 PM, and ends by 3:30 PM.
• Location: Tokyo Metropolitan Industrial Trade Center, Hamamatsucho.
• Format: Both online and in person.
• Cost: Free; pre-registration is required.

Interactive Experience: MaisonAI

Guests can try MaisonAI, an AI platform by AuthenticAI. In this part, a visitor writes text for a design. The system makes an image from the text. Visitors save images to their phones with QR codes.

Experience details:

• Dates: May 14th to 16th, 2025.
• Location: The same venue as the seminar.
• Hours: 10 AM to 5 PM on the first two days, and until 4 PM on the final day.
• Cost: Free.

For More Information

For contest details or to join the talks, please see the official TOKYO AI Fashion Week website. This event puts art and tech side by side. It invites you to see new work in fashion.

Artists and Designers Harness AI at NVIDIA GTC Paris Gallery

AI Integration in Creative Practices on Display
NVIDIA’s GTC Paris takes place from June 10-12 in one of Europe’s well-known art hubs. The event brings art and tech side by side. A curated gallery shows how creators mix human ideas with machine input. Attendees see art that links personal vision with AI work.

A New Era of Artistic Expression

French artist Paul Mouginot, known as aurèce vettier, works with AI from his own data since 2019. He calls his method a tool that helps spark poetic thoughts. His words, “It becomes a reflective device for poetic speculation,” show his view. His work tests art’s limits and reaches people outside typical white cube spaces. He aims to start a talk on art and tech.

Notable Exhibitions

Mouginot presents pieces called le travail des rêves and the light that is not seen. In these works, AI shapes memories into oil-like images. His work turns past impressions into visual art.

Senegalese artist Linda Dounia Rebeiz works on Once Upon a Garden. She records flowers in danger, a thought born in her grandmother’s garden. Her project makes 10,000 images that mark the fading plants of the Sahel. Her work stands as a record of nature and loss.

The Convergence of Art and Science

The art group Entangled Others Studio, led by Sofia Crespo and Feileacan McCormick, presents Self-Contained. The team builds image sets that mimic life. Their work mixes shapes found in nature with digital forms.

The studio fuse* shows Onirica. This piece uses a text-to-image model to create visuals from dreams. It draws on 28,000 dream entries from study reports. The work brings art and science into close contact.

Fashion and AI Integration

The AI Art Gallery at GTC Paris also puts a light on modern style. Work from the Institut Français de la Mode and the Fashion Innovation Agency at the London College of Fashion finds new ways for tech to join design work. Giovanna Casimiro says, “It’s about expanding imagination, not following algorithms.” Matthew Drinkwater, head of the Fashion Innovation Agency, describes how AI lets ideas turn fast into images and change style from start to finish.

Visit the AI Art Gallery

The gallery sits at Paris Expo Porte de Versailles on the lower level of Hall 7.1. The space is near the networking and VIP areas. Attendees are urged to see the close link between art and AI.

Those who cannot join in person may visit a virtual gallery. It helps more people take part in the mix of ideas at GTC Paris.

Registration Information

People can join the event by going to NVIDIA’s official website. They can be part of a new mix of art, tech, and fresh ideas about creative work.

In this way, the GTC Paris Gallery shows a close link between art and AI. It sets the stage for ideas to take a new shape and invites all to think about the future of art.