FWRD MAGAZINE - MM

THE ARTIFICIAL INTELLIGENCE

EVERY IMAGE IN THIS MAGAZINE HAS BEEN CURATED BY AI.

Images by Tanushri Roy

INTELLIGENCE ISSUE

Managing Editor Mahreen Munawar

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Magazine Design by Mahreen Munawar

WELCOME TO THE WORLD OF AI

Welcome to the forefront of artificial intelligence with FWRD. Dive into the latest breakthroughs, trends, and applications in the world of AI. From cutting-edge research to real-world implementations, FWRD keeps you ahead of the curve. Explore the possibilities of AI-driven innovations across industries like fashion, interior design, technology, and more. Whether you're a seasoned AI professional or just curious about the future, FWRD delivers insightful articles, interviews, and analyses to keep you informed.

Stay tuned as we navigate the ever-evolving landscape of artificial intelligence, shaping the future one byte at a time. Subscribe to FWRD today and embark on a journey into the AI-driven world of tomorrow.

MAHREEN MUNAWAR EDITOR

First ever AI fashion week p/26

DR. RAICU

Interview with Dr. Irina Raicu, Creative technologist.

info@fwrd.com http://www.fwrd.com

Tel. +1 (347) 567 8900

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ELLE Decor, Midjourney, AIFW, ABOVE

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With special thanks to ELLE, Midjourney

p/12 p/16 p/18 p/28 p/34

WHAT TO EXPECT?

More on the ins and outs of AIFW

MONCLER GENIUS

Ready-to-wear FALL 2023 collection

INTERIOR DESIGN

The room that designed itself by Anna Fixsen

DR. IRINA RAICU

Interview with Dr. Raicu, creative technologist

BALENCIAGA X KITKAT

The Balenciaga campiagn reinvisioned

SEASON 1 – IN NUMBERS:

Over 400 submissions from around the world

SEASON 01

Over 1500 peoples came to the event at Spring Studios

More than 14,000 registered users on AIFW app in 2 weeks

Media Results

400+ Press Hits

Over 2 billion Press impressions

Over $4m equivalent advertising value

Stats from Google Analytics: (2 weeks)

Over 2.4M page views

Average engagement time: 4m 10 / session

65% female – 35% male

Top Countries: US/Brazil/Italy/China/UK/France/Canada/Spain

Over 800W members on Discord (Largest AI Fashion Community)

10k+ followers on Instagram

15k+ email list

Images by Anya Klyueva

The winners will receive support from AIFW’s fashion-tech incubator in partnership with Revolve.

Text

by Madeleine Chulz

THE FUTURE OF FASHION

With over 350 submissions to date, the first ever AI Fashion Week event (20-21 April 2023) showcased the latest in AI and fashion, featuring cutting-edge AI-generated collections and designs from the most innovative minds in the game.

At AI Fashion Week, we are passionate about pushing the boundaries of what’s possible in fashion with the use of AI. We believe that AI has the potential to revolutionize the fashion industry, and we want to provide a platform for AI designers to showcase their innovative and groundbreaking work.

We encourage our AI designers to think outside the box and experiment with new technologies and techniques. We want to see collections that are truly innovative and cohesive, and that set a new standard for the fashion industry.

Images by Gaby Roses

Behind the scenes of AIFW by José Sobral

WHAT TO EXPECT?

A new fashion week is coming to New York – and, as interest in the potential of AI reaches fever pitch, it couldn’t be better timed. The first AI Fashion Week (20-21 April), held at Soho’s Spring Studios, is showcasing collections from emerging AI designers.

José Sobral, also known as José Manuel Sobral, was the winner of the 2020 edition of the Andam Fashion Award. This prestigious award, established in 1989 by Nathalie Dufour, aims to support and promote emerging talents in the fashion industry. José Sobral is a Portuguese fashion designer known for his innovative and experimental designs. Winning the Andam Fashion Award is a significant achievement and often serves as a launching pad for designers to gain international recognition and further their careers in the fashion world.

Images by José Sobral

Backed by Spring Studios and e-commerce retailer Revolve Group, the event is making the case for AI as a tool for fashion design, supporting new designers working with the still-nascent technology. An opening event on the evening of 20 April is for media, VIPs and participants, while the space is open all day on 21 April to the public. Participants had until 15 April to submit a collection of 15 to 30 looks, which will be judgedby the public via online and inperson voting, promoted on the social media channels of AI Fashion Week (AIFW), Spring Studios and Revolve, as well a through Revolve’s expansive influencer network.

More than 350 submissions have been received to date. Ten finalists proceed to round two in May, with three winners selected by a panel including Tiffany Godoy, Vogue Japan’s head of editorial content; Natalie Hazzout, Celine head of men’s casting; Erika Wykes-Sneyd, VP of Adidas’s Three Stripes Studio; Matthew Drinkwater, head of London College of Fashion’s Fashion Innovation Agency; and Michael Mente, Revolve CEO and co-founder.

The winners will receive support from AIFW’s fashion-tech incubator in partnership with Revolve. A key requirement is that the garments must be possible to produce physically, and the winning collections will be made and sold online, either via Revolve or Fwrd, Revolve’s luxury site, depending on the garments. Designers will receive support throughout the launch process, including with pattern making, sample development and marketing and communications.

THE CREATIVE PROCESS

This first AI Fashion Week has drawn an interesting mix of participants, including many not involved in fashion full time. Around 60 per cent of creators have used the AI platform Midjourney to create their pieces. Godoy is keen to see the reference points, including photography, that designers look to. “Is it all [Steven] Meisel? Is it all Norbert Schoerner from 1990s/2000s Prada campaigns? What are they looking at?”

Designer Oyerinde has come up with a collection titled Haute Futur that plays on concepts of high and low, appealing to the consumer with familiar shapes and lines while looking forward with futuristic fabrics. The creator says his experience working with physical textiles has helped him to input the words to generate what he calls “data fabrics”.

Fledgling fashion houses are also opting in. Ilona Song, founder of the eponymous phygital fashion house, has submitted a collection titled Futuristic Fauna, inspired by camellias. Nastaran Hashemi, founder of digital fashion platform Orbyline, is entering collections both personally and under the Orbyline name. For both, she and her team translated the mood board to define silhouettes, primary shapes, colours and materials. Using blending techniques and remix tools, they perfected seam lines, cuts and proportions, adding a “personal touch”, Hashemi says.

Images by Matilda Mariano Second winner of AIFW

A NEW GENERATION OF CREATIVES

While excitement about the potential of AI is rising fast, there’s also a degree of hesitancy. LCF’s Drinkwater argues for a more balanced perspective. “The discourse around AI has for too long been ‘utopia or dystopia’,” he says. “There are immediate use cases for the technology to improve efficiency across design, marketing, logistics, supply chain and store operations. Fashion must improve its knowledge, skill sets, understanding and application of these technologies to deliver more sustainable business models.”

Revolve’s Mente agrees. “As a company, it’s important for us to stay at the cutting edge of what’s going on. It’s going to be incredible to show the world that the technology — with a human element — is a big opportunity for a new generation of creatives.”

For Godoy, the potential extends beyond digital design. “It’s about image making and world building,” she says. Designer Oyerinde adds: “It’s not just the finished garment. It can also tell a brand story — what we strive for in editorials. Now, we have this tool to create that aspirational element through AI.”

Images by Matilda Mariano

Third winner of AIFW

FALL 2023 READY-TO-WEAR AVAILABLE ONLINE AND IN STORES

Representing an evolution from collaborations to a platform for co-creation, Moncler Genius challenges the boundaries of possibility at the intersection of art, design, entertainment, music, sport, and culture.

GENIUS FALL 2023

MONCLER

18

THE ROOM THAT DESIGNED ITSELF

Has it taken architecture by storm?

It works a little something like this: Think of your dream room—any style, anywhere. Can you describe it in a sentence? Good. Type that into the text box. Hit enter and watch as your vision materializes on the screen, steadily gaining clarity as if you were twisting a camera lens. First, you perceive white forms of softly curved furniture and the arched shapes of windows. You then gradually spot blossoms on a branch, intricate moldings, soft bouclé textures. This room you’re seeing may not technically exist, but somehow it’s more real than anything you could have ever imagined.

Welcome to the uncanny world of generative AI, the rapidly emerging technology that has confounded critics, put lawyers on speed dial, and awed (and freaked out) pretty much everyone else. Via complex machine-learning algorithms, new platforms with names befitting a sci-fi novel (DALL-E, Stable Diffusion, Midjourney) have the ability to translate simple text commands into incredibly vivid, hyperdetailed renderings. The promise? If you can

“People have been creating images with AI for 15 years,” says architect Andrew Kudless, principal of the Houstonbased studio Matsys Design. “But [back then], all it could produce were super-psychedelic images of, like, dogs’ faces made of other dogs’ faces or the Mona Lisa made out of cats. What’s happened in the past year is that the technology has gotten much, much better. And it’s also become much more accessible.” How accessible? In a matter of minutes, this journalist managed to sign up for a Midjourney account (one of the most popular text-to-image platforms) and began rendering a fantastic Parisian living room worthy of an ELLE DECOR A-List designer.

Text by Anna Fixsen

“Has it taken architecture by storm? Yes,” says Arthur Mamou-Mani, an architect based in London with a practice that specializes in digital design and fabrication (among his studio’s designs was a spiraling timber temple that was set ablaze during the 2018 edition of Burning Man). “Usually when you’re an architect, you have an idea, you sketch, you go on [the CAD software] Rhino, you start modeling it, you tweak it, then you have to render it,” he explains. “[With generative AI], you have an idea, you start typing some words, and boom, you get the final renderings. The immediacy of the results versus the idea has never been that quick, which means you can iterate extremely fast.”

At present, Rojkind and his studio have been exploring text-to-image platforms like DALL-E and Midjourney, for the design of an eye clinic and the graphic identity for a brand of chocolate. “Don’t get me wrong. I mean, I’m still doing this,” he says emphatically, holding up a sketchbook. “It’s not polarizing, like one or the other. It’s not black or white. It’s like, ‘Guys, there’s all this possibility; there’s this amazing range of things that we can do now.’ That to me is what’s interesting—that cross-pollination of information.”

Image by Anna Fixsen

The value here is not anymore about the creation; it’s about the curation.

For many architects and designers, it might be too soon to tell. Architect David Benjamin, principal of forward-thinking firm the Living, is delving headfirst into these questions with his students at Columbia University’s Graduate School of Architecture, Planning and Preservation. In fact, he’s devoted a portion of his 2023 schedule to AI in a course called “Climate Change, Artificial Intelligence, and New Ways of Living.” “I’m not necessarily a total proponent, but I’m fascinated,” he says. “If we don’t get in there and apply our own critical thinking to these tools, and if we don’t develop hypotheses about productive ways to use them—or warnings about how not to use them—then others will do it without us.”

There’s still a long way to go before AI will be able to generate fully realized buildings with the push of a button, the experts agree. “AI is not there yet. And it’s not going to be there anytime soon,” García del Castillo y López says. “Architecture, design, and interior design are very, very open-ended problems.” But for many, the value is already apparent. “I was very nostalgic at some point as an architect for firms like Archigram and people like Buckminster Fuller,” Rojkind says. This moment, he reflects, feels like a return to that bolder, freer time—one that offers “the possibilities of just dreaming out loud.”

Anna Fixsen, Deputy Digital Editor at ELLE DECOR, focuses on how to share the best of the design world through in-depth reportage and online storytelling. Prior to joining the staff, she has held positions at Architectural Digest, Metropolis, and Architectural Record magazines.

Platform used: Midjourney

22 THE FUTURE OF AI ETHICS

Artificial Intelligence (AI) has transformed the way we live and work, revolutionizing industries and enhancing efficiency. However, as AI becomes increasingly integrated into our lives, ethical concerns have arisen regarding its impact on society, privacy, and human rights. In this comprehensive article, we’ll explore the multifaceted landscape of AI ethics, highlighting its importance, key considerations, and potential solutions.

Text by Yash Patel

AI CODE OF ETHICS

A proactive approach to ensuring ethical AI requires addressing three key areas, according to Jason Shepherd, vice president of ecosystem at Zededa, an edge AI tools provider.

POLICY. This includes developing the appropriate framework for driving standardization and establishing regulations. Efforts like the Asilomar AI Principles are essential to start the conversation, and there are several efforts spinning up around policy in Europe, the U.S. and elsewhere. Ethical AI policies also need to address how to deal with legal issues when something goes wrong. Companies may incorporate AI policies into their own code of conduct. But effectiveness will depend on employees following the rules, which may not always be realistic when money or prestige are on the line.

EDUCATION. Executives, data scientists, front-line employees and consumers all need to understand policies, key considerations and potential negative impacts of unethical AI and fake data. One big concern is the tradeoff between ease of use around data sharing and AI automation and the potential negative repercussions of oversharing or adverse automations. “Ultimately, consumers’ willingness to proactively take control of their data and pay attention to potential threats enabled by AI is a complex equation based on a combination of instant gratification, value, perception and risk,” Shepherd said.

TECHNOLOGY. Executives also need to architect AI systems to automatically detect fake data and unethical behavior. This requires not just looking at a company’s own AI but vetting suppliers and partners for the malicious use of AI. Examples include the deployment of deep fake videos and text to undermine a competitor, or the use of AI to launch sophisticated cyberattacks. This will become more of an issue as AI tools become commoditized.

WHAT ARE THE ETHICAL CHALLENGES?

EXPLAINABILITY. When AI systems go awry, teams need to be able to trace through a complex chain of algorithmic systems and data processes to find out why. Organizations using AI should be able to explain the source data, resulting data, what their algorithms do and why they are doing that. “AI needs to have a strong degree of traceability to ensure that if harms arise, they can be traced back to the cause,” said Adam Wisniewski, CTO and co-founder of AI Clearing.

RESPONSIBILITY. Society is still sorting out responsibility when decisions made by AI systems have catastrophic consequences, including loss of capital, health or life. Responsibility for the consequences of AI-based decisions needs to be sorted out in a process that includes lawyers, regulators and citizens. One challenge is finding the appropriate balance in cases where an AI system may be safer than the human activity it is duplicating but still causes problems, such as weighing the merits of autonomous driving systems that cause fatalities but far fewer than people do.

FAIRNESS. In data sets involving personally identifiable information, it is extremely important to ensure that there are no biases in terms of race, gender or ethnicity.

MISUSE. AI algorithms may be used for purposes other than those for which they were created. Wisniewski said these scenarios should be analyzed at the design stage to minimize the risks and introduce safety measures to reduce the adverse effects in such cases.

WHAT ARE ETHICS IN AI?

AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technology. As AI has become integral to products and services, organizations are starting to develop AI codes of ethics.

Science fiction writer Isaac Asimov foresaw the potential dangers of autonomous AI agents long before they were developed and created the Three Laws of Robotics to limit those risks.

In Asimov’s Code of Ethics, the first law prohibits robots from actively harming humans or allowing humans to be harmed if they refuse to act. The second law tells robots to obey humans unless the commands are consistent with the first law. The third law tells robots to defend themselves if it matches the first two laws.

The rapid development of artificial intelligence over the past 5–10 years has prompted expert groups to develop safeguards against the risks posed by artificial intelligence to humans. One such group is a non-profit institute founded by MIT cosmologist Max Tegmark, Skype founder Jaan Tallinn and DeepMind researcher Victoria Krakovna. The institute worked with AI researchers and developers, as well as researchers from many fields, to create 23 guidelines, now called the Asilomar AI Principles.

EXAMPLES OF AI ETHICS

An AI code of ethics can spell out the principles and provide the motivation that drives appropriate behavior. For example, Mastercard’s Jha said he is currently working with the following tenets to help develop the company’s current AI code of ethics:

1. An ethical AI system must be inclusive, explainable, have a positive purpose and use data responsibly.

2. An inclusive AI system is unbiased and works equally well across all spectra of society. This requires full knowledge of each data source used to train the AI models in order to ensure no inherent bias in the data set. It also requires a careful audit of the trained model to filter any problematic attributes learned in the process. And the models need to be closely monitored to ensure no corruption occurs in the future as well.

3. An explainable AI system supports the governance required of companies to ensure the ethical use of AI. It is hard to be confident in the actions of a system that cannot be explained. Attaining confidence might entail a tradeoff in which a small compromise in model performance is made in order to select an algorithm that can be explained.

BENEFITS OF ETHICAL AI

The rapid acceleration of AI adoption in businesses has coincided with, and in many cases contributed to, two main trends: the rise of customer centricity and social activism.

“Companies are rewarded not only for offering personal products and services, but also for increasing customer value and doing good for the society in which they operate,” says Sudhir Jha, head of Brighterion at Mastercard.

AI plays a huge role in how consumers interact with and perceive a brand. Responsible use is necessary to ensure a positive effect. In addition to consumers, employees want to feel good about the companies they work for. “Responsible AI can go a long way in retaining talent and ensuring the smooth running of business operations,” Jha said.

ETHICS / INTERVIEW

26 DR. IRINA RAICU CREATIVE TECHNOLOGIST

Irina Raicu is an international award-winning creative technologist, artist and fashion designer passionate about the transformative power of Artificial Intelligence (AI). While her formal education took her down the path of Computer Science, obtaining a PhD in Business Informatics specializing in Artificial Intelligence (AI), her heart has always been drawn to the arts. Growing up in an environment imbued with creativity, she discovered her love for artistic expression and fashion design at a young age. Her first foray into the world of fashion began in her mother’s atelier where she used to design and create clothes for children.

As a creative technologist working with AI since the early days of its development (2019), she has had the opportunity to work on a wide range of projects that leverage the capabilities of artificial neural networks in the creative industries. Her artworks and fashion designs have made the rounds on international platforms and have been highlighted by Forbes and the international press. As an award-winning fashion designer, she has been recognized by Tommy Hilfiger, L’Oreal and other international brands.

Raicu is also an international speaker who has appeared at numerous events around the world, sharing her insights on the intersection of artificial intelligence, technology, art, and fashion. In her artistic creation, she emphasizes the effects of climate change. Her artworks serve as a call to action, urging individuals, communities, and governments to address this global crisis. Her art concept delivers a powerful and poignant message, reminding us of the pressing need to combat climate change and its detrimental impact on our planet. Her purpose goes far beyond raising awareness as it aims to inspire and engage people, motivating them to take action to safeguard our environment and secure our future.

In addition to her deep dedication to climate change art, Irina fearlessly explores collaborations and conceptual projects with renowned fashion brands. These endeavors provide a canvas for her innovative ideas, propelling the boundaries of fashion design and forging new paths of expression.

In this interview I spoke with the artist about her work and future projects.

Interview by Beth Jochim

Irina Raicu Self Portrait

Q/ Beth Jochim (B.): Can you tell us about your first steps in the world of Artificial Intelligence and fashion?

A/ Irina Raicu (I.R.): During my PhD research I discovered new techniques to create art and fashion through the use of Artificial Neural Networks (ANNs) and since then I am very passionate about it. My creative journey began in 2019, where I experimented with Style Transfer, a technique that combines features from two images. With it, I blended my drawings, breathing life into new creations. As I navigated through the AI art journey, in 2020 I discovered GANs (Generative Adversarial Networks), a powerful neural network capable of creating new types of images from an existing dataset.

My exploration didn’t stop there and I started to experiment with VQGANs, the first multimodal neural networks I tried, and found them to be immensely powerful. These networks opened new doors, allowing me to manipulate and create images with unprecedented flexibility and creativity.

At that moment, I used to combine all these techniques in order to create an artistic personal signature (creative workflow). This fusion was driven by a fundamental question:

The answer lies in its uniqueness and the difficulty of reproducing it. “

What makes an artwork valuable?

This creative process is very present in my work today: when I create an artwork or a fashion design, I think from an artistic perspective, do research and then choose the right tools to create the outcome. So, I can say that my creative process is holistic. Depending on the desired outcome, I use different neural networks (AI models) or tools ranging from Midjourney and Stable Diffusion (ControlNet, Lora) to Photoshop and Dalle-3. It depends on the outcome I want to achieve. For example, when I am tasked with creating fashion designs for a niche brand that has a limited online presence and is therefore difficult for them to be recognized by existing tools via prompting, I have to fine-tune the models to respect the brand identity and style. To get the best results, my creative process usually follows several steps and ends in multiple iterations of prompting, fine-tuning, and parametrization.

Q/ Beth Jochim (B).: What are the advantages and limitations that generative artificial intelligence brings to the creative industries?

A/ Irina Raicu (I.R).: Generative AI is transforming the creative industries, especially fashion, by bringing a multitude of advantages that revolutionize the way fashion designers work. In a nutshell, it’s like having a supercharged design assistant who helps streamline the creative process and explore infinite design possibilities. One major advantage of generative AI is its ability to speed up the design and prototyping process. With AI-powered tools, designers can quickly generate new designs and quickly iterate on them. Not only does generative AI accelerate the design process, but it also enables brands to test and validate their concepts before committing to mass production. This ensures that the final designs resonate with their target audience, reducing the risk of creating products that may not sell well. Moreover, by utilizing generative AI, the fashion industry can make significant strides towards sustainability.

With

virtual testing and prototyping, the need for physical prototypes is greatly reduced, leading to less waste and a more environmentally-friendly approach to fashion design.

However, Generative AI has its challenges. For instance, data can be biased, and fine-tuning is needed to truly capture brand styles. For fashion designers, learning to fine tune these AI models is time-consuming and involves additional knowledge.

Irina Raicu Self Portrait

Irina Raicu Self Portrait

In other words, it’s harmonizing the strengths of AI with the soul of the brand.

Q/ Beth Jochim (B.): What does it mean for an AI artist to collaborate with a brand?

A/ Irina Raicu (I.R).: As an AI artist, collaborating with a brand means deeply understanding and valuing the brand’s unique identity, it’s about ensuring consistency and alignment with the brand’s style and values. Because data is biased and current tools cannot identify a brand’s style, optimizing AI models with brand-specific data generates designs that truly resonate with the brand’s style and values.

Q/ Beth Jochim (B.): Many luxury brands, such as Gucci or Valentino for example, are taking their first steps into the Metaverse or are experimenting with AI. In your opinion, are there any particular brands that you think would best promote adoption of generative AI as a creative assistant?

A/ Irina Raicu (I.R).: I believe that at the core of the luxury brands is their design heritage. However, incorporating their heritage with customers’ creativity can lead to a personal and engaging experience for the customer.

When considering brands that could champion generative AI as a creative assistant, you need to look for those with a legacy of innovation and a willingness to embrace the avant-garde. Brands like Alexander McQueen or Iris van Herpen come to my mind. Alexander McQueen, known for its daring and boundary-pushing designs, could leverage generative AI to explore new creative designs, blending traditional craftsmanship with futuristic visions.

Similarly, Iris van Herpen, with her ethereal and almost otherworldly designs, could find generative AI a perfect ally. Her brand, which is synonymous with the fusion of technology and Haute Couture, often uses cuttingedge techniques to bring her visionary designs to life. The application of generative AI in her design process could result in unprecedented and awe-inspiring creations, pushing the boundaries of what is possible in fashion. Also Dolce & Gabbana come to my mind. With their flair for the dramatic and luxurious, D&G could use AI to personalize their opulent designs, offering customers a new level of exclusivity and customization.

32 Balenciaga x KitKat Fashion Designs and Photoshooting

AI-Generated Fashion: Balenciaga's Sweet Spot of Creativity, Efficiency, and Sustainability

One of my first AI-generated fashion concepts imagined a world where the iconic design of Nestlé's KitKat wrappers inspires BALENCIAGA's advanced avant-garde pieces.

Now I've revisited that concept with the latest tech advancements. AI brings a new level of efficiency to the design process, freeing designers from the constraints of time and allowing them to focus on the creative side of fashion. It's the sweet spot between creativity, efficiency, and commercial feasibility.

But this isn't just about efficiency. It's about sustainability too. By prototyping digitally and using AI to refine designs before they go into production, we can significantly reduce the carbon footprint of the fashion industry.

AI allows to reduce the time and effort required to design new fashion ideas while exploring a virtually limitless range of possibilities.

Text by Irina Raicu

Balenciaga X KitKat by Irina Raicu

OUT OF THIS WORLD

Inside world’s first space hotel set to open next year with epic views.

US-based space company Above Space, formerly known as Orbital Assembly, is aiming to launch two space stations with tourist accommodation: Voyager Station and Pioneer Station. Pioneer Station, described by Above Space as "the first gravity enabled space station, where commerce, research, and leisure thrive in space", could be operational next year.

It is to house 28 people and be a smaller version of Voyager Station, which is scheduled to accommodate 400 people and open in 2027. Both are expected to resemble a rotating wheel orbiting the Earth, with renderings of interiors not dissimilar to that of a luxury hotel on the ground - only with surreal views of the solar system.

ABOVE provides a thoughtful path to more space in space for commercial organizations and governments, so they can benefit from new, critical on-orbit platforms and realize the promise of a thriving space-based economy.

Images by Metamorphix

02

TOP THREE WINNERS

Images by Magno Montero

Images by Esther Souto Prego

THE ARTIFICIAL INTELLIGENCE

Images by Dimitri Rykunov

INTELLIGENCE ISSUE

Reflecting on the journey: From Today to Tomorrow FORWARD

In each issue, we've delved into the depths of AI research, celebrated ground breaking advancements, and pondered the ethical implications of our AI-driven future. We've witnessed the convergence of human ingenuity and machine intelligence, forging new frontiers in medicine, finance, education, and beyond.

Thank you for joining us on this extraordinary voyage. Together, let's continue to move FWRD, shaping the future with AI one insight at a time.

As we conclude the first ever riveting edition of FWRD, let's take a moment to ponder the remarkable journey we've embarked upon together. From the inception of artificial intelligence to its current state of ubiquity, our exploration of this transformative technology has been exhilarating.

Image by Dimitri Rykunov