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Decomate: Leveraging Generative Models for Co-Creative SVG Animation

Park, Jihyeon, Myung, Jiyoon, Shin, Seone, Son, Jungki, Han, Joohyung

arXiv.org Artificial Intelligence

Designers often encounter friction when animating static SVG graphics, especially when the visual structure does not match the desired level of motion detail. Existing tools typically depend on predefined groupings or require technical expertise, which limits designers' ability to experiment and iterate independently. We present Decomate, a system that enables intuitive SVG animation through natural language. Decomate leverages a multimodal large language model to restructure raw SVGs into semantically meaningful, animation-ready components. Designers can then specify motions for each component via text prompts, after which the system generates corresponding HTML/CSS/JS animations. By supporting iterative refinement through natural language interaction, Decomate integrates generative AI into creative workflows, allowing animation outcomes to be directly shaped by user intent.


Is the A.I. Boom Turning Into an A.I. Bubble?

The New Yorker

When Jensen Huang, the chief executive of the chipmaker Nvidia, met with Donald Trump in the White House last week, he had reason to be cheerful. Most of Nvidia's chips, which are widely used to train generative artificial-intelligence models, are manufactured in Asia. Earlier this year, it pledged to increase production in the United States, and on Wednesday Trump announced that chip companies that promise to build products in the United States would be exempt from some hefty new tariffs on semiconductors that his Administration is preparing to impose. The next day, Nvidia's stock hit a new all-time high, and its market capitalization reached 4.4 trillion, making it the world's most valuable company, ahead of Microsoft, which is also heavily involved in A.I. Welcome to the A.I. boom, or should I say the A.I. bubble? It has been more than a quarter of a century since the bursting of the great dot-com bubble, during which hundreds of unprofitable internet startups issued stock on the Nasdaq, and the share prices of many tech companies rose into the stratosphere.


Dylan Field 'Got a Real Kick' Out of This Week's Enron Relaunch

WIRED

Figma cofounder Dylan Field is seemingly a big Enron fan--or rather, of the crypto-fueled semi-parodic relaunch of the company that hit the web earlier this week. Sporting an oversized Enron hoodie during his conversation with WIRED editor at large Steven Levy during The Big Interview event in San Francisco on Tuesday, Field said he's always been a fan of the Enron logo, which was the last one crafted by legendary American graphic designer Paul Rand, of ABC, IBM, UPS, and Westinghouse logo fame. But he said he also "got a real kick" out of the potential Enron relaunch, which has been tied to "Birds Aren't Real" creator Connor Gaydos. As someone who was just 9 years old when Enron imploded in 2001, Field says he wonders (optimistically, it seems) if it's possible to build a new company on the back of the tainted brand, given that his generation might not carry the kind of baggage related to the company's stumbles that others do. Either way, it seems, it's a question of the power of design, something Field and Levy focused on more broadly as their chat went on, talking not just about the creation and evolution of the Figma platform, but also where the cofounder sees the company going in the immediate future.


FEAD: Figma-Enhanced App Design Framework for Improving UI/UX in Educational App Development

Huang, Tianyi

arXiv.org Artificial Intelligence

Designing user-centric mobile applications is increasingly essential in educational technology. However, platforms like MIT App Inventor-one of the world's largest educational app development tools-face inherent limitations in supporting modern UI/UX design. This study introduces the Figma-Enhanced App Design (FEAD) Method, a structured framework that integrates Figma's advanced design tools into MIT App Inventor using an identify-design-implement workflow. Leveraging principles such as the 8-point grid system and Gestalt laws of perception, the FEAD Method empowers users to address design gaps, creating visually appealing, functional, and accessible applications. A comparative evaluation revealed that 61.2% of participants perceived FEAD-enhanced designs as on par with professional apps, compared to just 8.2% for baseline designs. These findings highlight the potential of bridging design with development platforms to enhance app creation, offering a scalable framework for students to master both functional and aesthetic design principles and excel in shaping the future of user-centric technology.


Adobe drops $20bn takeover of Figma after EU and UK regulator concerns

The Guardian

Adobe has abandoned its $20bn (£15.8bn) The Photoshop owner, which dominates the market with products including Illustrator and Acrobat Reader, said the two companies had come to a joint assessment that there was "no clear path" to regulatory approval. The UK's Competition and Markets Authority said last month that the deal would threaten competition in the product design, image editing and illustration markets. "There is no clear path to receive necessary regulatory approvals from the European Commission and the UK Competition and Markets Authority," the companies said in the joint statement. "Adobe and Figma strongly disagree with the recent regulatory findings, but we believe it is in our respective best interests to move forward independently," the chair and chief executive of Adobe, Shantanu Narayen, said.


Exploring the Benefits of AI in Design Tools

#artificialintelligence

Over the last few months, I've been captivated by the incredible advances in Artificial Intelligence (AI). From DALL-E's photorealistic artwork to ChatGPT's human-like conversation, AI's potential to revolutionize our lives is something I've been contemplating a lot lately. In one of my recent articles, I discussed the power of AI and its implications for designers. We already see AI being used in products like Photoshop, where it can recognize faces in photos and offer editing suggestions. But it is very rare to find basic design tools that use AI to assist in creating user interfaces.


Data Scientist - Marketing

#artificialintelligence

Figma is adding to our team of passionate people who are revolutionizing the world of design. We are building a browser-based design tool that looks and feels as good as a native application and has all the additional power and advantages that come from being built upon the web platform. If you're looking to work at a dynamic company who is building the future of design tools, welcome to Figma. We are looking for a Data Scientist to partner with our Marketing teams to accelerate growth at Figma. In this role, you will be responsible for building models to optimize our marketing efforts, uncovering insights to guide new strategies, and collaborating with a variety of cross functional peers to help leverage data throughout the organization.


Can Artificial Intelligence Make Us More Creative?

#artificialintelligence

As someone in the creative department in an advertising agency, coming up with ideas was my daily job. Although this process of creativity is fun, it is also excruciating. When nothing comes to your mind, the experience is horrendous. My most extended dream was to overcome this complex yet elusive process of ideation. For me, I felt that when I am ideating alone, I'm always at a dead-end.