Ubisoft's FY24-25 financials report "solid balance sheet" despite hefty drops in revenue and back-catalog sales CEO says Ubisoft will "provide additional development time to some of our biggest productions in order to create the best conditions for success" Image credit: Ubisoft News by Vikki Blake Contributor Published on May 14, 2025 Ubisoft has released its financial results for the full 2024-25 fiscal year, reporting a "solid balance sheet" and "very strong praise" for Assassin's Creed Shadows - which delivered the second-highest Day One sales in franchise history after Valhalla - despite hefty drops in revenue, net bookings, digital net bookings, and back-catalog net bookings across the year. CEO Yves Guillemot confirmed Ubisoft would "provide additional development time to some of our biggest productions in order to create the best conditions for success" and notably missed FY2025-26 from his announcement that "FY2026-27 and FY2027-28 will see significant content coming from our largest brands." In FY2025-26, the firm "expects to maintain a consolidated net debt position of around zero." Ubisoft's headcount dropped by 1230 over the last 12 months. Here's what you need to know: The numbers: For the full 2024-25 financial year ending March 31, 2025 Revenue: €1899.2 million (down 17.5% year-on-year) Net bookings: €1846.4 million (down 20.5%) Digital net bookings: €1585.4 million (down 20.2%) Back-catalogue net bookings: €1296.3 million (down 13.5%) The highlights: Ubisoft said its brands have "continued to perform strongly this quarter," with the Top 10 brands posting year-over-year net bookings growth, leading to a record fourth quarter at €902m. Console and PC "activity metrics" are reported as "broadly stable" year-on-year. Despite an overall year-on-year drop, back-catalog net bookings for Q4 were "up double-digit," with noted performance from Ubisoft's other tentpole franchise, Rainbow Six Siege, with The Crew Motorfest also posting a strong performance. The company said it was continuing its strategic focus on open world adventures and native GaaS "experiences," resulting in "reshaping its operating model with the objective to better meet player needs, deliver superior game quality, and drive discipline capital allocation." This will see a new organization structure announced by the end of the year (it's not clear if Ubisoft is referring to calendar or financial year here). It also reaffirmed its commitment to its three "iconic IPs," Assassin's Creed, Rainbow Six, and Far Cry, hinting at a "very powerful five-year line-up to come" in partnership with Tencent. Assassin’s Creed and Rainbow Six brands’ unique active players both stood at around 30 million for the 4th consecutive year, with Far Cry at around 20 million per year over the same period. Other brands continued to "drive strong community appeal, with more than 100 million unique active players in FY2024-25." "The transaction with Tencent crystalizes the true economic value of three of Ubisoft’s leading franchises. The minority nature of the transaction enables Ubisoft to maintain control of these IP, retain financial consolidation as well as safeguard strategic alignment with the Group and maintain upside on these franchises while immediately strengthening its balance sheet," the company said. "It will be steered by a dedicated leadership, with a team that will include external hires, and that will be advised by industry veterans. With this transaction, Tencent will invest €1.16bn in a primary issuance by the New Subsidiary, acquiring an approximate 25% economic interest. At closing, at least €500m will be upstreamed to Ubisoft, ensuring sufficient working capital needs of the New Subsidiary at start." "This year has been a challenging one for Ubisoft, with mixed dynamics across our portfolio, amid intense industry competition. Despite these headwinds, Ubisoft managed to deliver positive free cash flow generation over the fiscal year, reflecting the discipline applied across the Group," said CEO Guillemot. "Aware of the challenges ahead, we took decisive steps to continue strengthening the company’s future [... and] we also completed our initial cost savings program ahead of schedule. We are committed to going further, with additional savings of at least €100m over the next two years to drive structural efficiencies and reinforce the foundations of our organization. "This continued focus on discipline will support our growth ambitions and the profound transformation of Ubisoft. We are currently working on reshaping the Group’s operating model and plan to announce a new organization by the end of the year," he added. "A major step in this transformation was the announcement in March of the creation of a new subsidiary, backed by Tencent as a core strategic partner. "Additionally, after a review of our pipeline, we have decided to provide additional development time to some of our biggest productions in order to create the best conditions for success. As a consequence, FY2026-27 and FY2027-28 will see significant content coming from our largest brands," Guillemot concluded. "Ubisoft is entering a new chapter, and I am confident in our ability to build a stronger, more resilient company for the benefit of all our stakeholders.”

New Research Step Into a Painstakingly Recreated 3D Model of the Parthenon, Now Restored to Its Ancient Glory A researcher simulated the Athenian temple’s lighting conditions at different times of the day, discovering that its interior was actually “quite dark and dim” The reconstructions show that the Parthenon’s internal appearance was constructed to provoke maximum awe—and even fear. Juan de Lara By combining archaeology and technology, a researcher has shed light on a longstanding architectural mystery: how the ancient Greeks experienced the inside of the Parthenon, the Athenian Acropolis’ largest temple, built and dedicated to the goddess Athena in the fifth century B.C.E. Today, the Parthenon is a broken-down rectangle of grand marble columns, and its interior is largely vacant. But when the temple was constructed between 447 and 438 B.C.E., designed in part by the legendary architect Phidias, it hosted a 40-foot-tall, gilded statue of Athena. For many centuries, historians assumed that in ancient times, the chamber was brightly illuminated by the Grecian sun. But now, Juan de Lara, an archaeologist at the University of Oxford, has created a virtual model of the Parthenon that upends such beliefs. As he writes in the journal Annual of the British School at Athens, the temple’s interior was actually “quite dark and dim.” This lighting might have emphasized the space’s religious purpose.“Imagine entering the Parthenon—your eyes still weary from the bright sun outside, slowly adjusting to the gradual darkness within,” says de Lara in a statement. “As sunlight filters through the temple’s doorway, it strikes the gold of the goddesses’ robes with a luminous vertical beam. This was the effect the architects and Phidias intended to create. It must have been magical.” De Lara spent four years on the project, using 3D modeling tools and conducting physical simulations to calculate paths of light and reflection. He has “precisely recreated how both natural and artificial lighting interacted with the elements of the Parthenon,” including the massive ivory and gold statue of Athena, the statement notes. He accounted for openings in the temple’s roof, windows, interior pools of water and the reflection potential of polished white marble. “I’ve long been fascinated by spaces that no longer exist, and by the challenge of imagining how they might have felt,” de Lara tells classicist Jeremy Tanner in an interview for the “Cambridge Core” blog. “Given my background in 3D modeling and [computer-generated imagery], this project offered a unique opportunity to explore that question.” A hypothetical reconstruction of the temple's artifact-filled chamber Juan de Lara The resulting reconstructions show that the Parthenon’s internal appearance was constructed to provoke maximum awe—and even fear—by presenting a monumental golden goddess emerging from darkness. The temple’s architects were “working with special effects in a sense,” de Lara tells IFLScience’s Russell Moul. De Lara’s project simulates how the temple’s interior would have looked at different times of the day, as well as at night, when it might have been filled with people holding torches. According to the statement, de Lara discovered that the sun probably shined directly onto the statue during summer mornings, meaning that during the Panathenaea, a summer festival celebrating Athena, the goddess’ likeness acted as a shining beacon at the start of each day. The ancient Greeks built many, many temples dedicated to gods or goddesses. Though it’s the most famous, the Parthenon isn’t the only temple on the Acropolis, the ancient complex of buildings nestled atop a hill in Athens. The site also hosts the Temple of Athena Nike—whose name refers to a hybridization of Athena and Nike, the goddess of victory—and the Erechtheion, which was dedicated to Athena, the mythical king Erechtheus and Poseidon, the god of the sea. A rendering of how the temple might have looked on a morning in late August Juan de Lara As de Lara explains to Tanner, each Greek temple’s visual experience was different. They varied based on the location and the deity being worshipped. But from the fifth century B.C.E. onward, “There is a marked increase in a conscious staging of the religious experience.” Still, “we know little about what actually took place inside the Parthenon,” de Lara tells Artnet News’ Richard Whiddington. “What rituals were performed? Who was allowed to enter and when?” In general, de Lara says to Tanner, temples “acted as museums, safeguarding objects of both material and emotional value.” Thanks to ancient inventories, researchers have been able to discern the Parthenon’s probable interior furnishings, like numerous incense burners that would have enhanced a visitor’s sensory experience. “Given that the Acropolis and the Parthenon are among the most visited monuments in the world,” de Lara tells IFL Science, “… it becomes even more relevant to offer [people] a more complete image of the site. If visitors can carry a richer, more accurate vision in their minds, the encounter with the monument becomes far more meaningful.” How the light of torches might have illuminated the Parthenon Juan de Lara Get the latest stories in your inbox every weekday.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Why climate researchers are taking the temperature of mountain snow The Sierra’s frozen reservoir provides about a third of California’s water and most of what comes out of the faucets, shower heads, and sprinklers in the towns and cities of northwestern Nevada. As it melts through the spring and summer, dam operators, water agencies, and communities have to manage the flow of billions of gallons of runoff, storing up enough to get through the dry summer months without allowing reservoirs and canals to flood. The need for better snowpack temperature data has become increasingly critical for predicting when the water will flow down the mountains, as climate change fuels hotter weather, melts snow faster, and drives rapid swings between very wet and very dry periods. In the past, it was hard work to gather this data. Now, a new generation of tools, techniques, and models promises to ease that process, improve water forecasts, and help California and other states manage in the face of increasingly severe droughts and flooding. However, observers fear that any such advances could be undercut by the Trump administration’s cutbacks across federal agencies. Read the full story. —James Temple MIT Technology Review Narrated: What’s next for our privacy? The US still has no federal privacy law. But recent enforcement actions against data brokers may offer some new protections for Americans’ personal information. This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 The US is warning other countries not to use Huawei’s chipsIf they do, they may face criminal penalties for breaching US export controls. (FT $)+ The Trump administration has axed the ‘AI Diffusion Rule’ for chips. (WSJ $)+ It may move towards negotiating deals with countries directly. (Bloomberg $) 2 US tech firms are inking AI deals with the Middle EastAmong the biggest of which is Nvidia. (The Guardian)+ Tech leaders accompanied Trump on his trip. (WP $) 3 A new treatment for inherited breast cancer was trialed successfullyThe drug olaparib can help to significantly improve survival rates. (BBC) 4 TikTok workers fear a new messaging feature could be exploitedBut the company is pressing ahead with it anyway. (The Information $) 5 Apple is working on brain-computer interfaces for its productsPeople with brain implants could one day use them to control their devices. (WSJ $)+ Brain-computer interfaces face a critical test. (MIT Technology Review) 6 What’s next for NASA?The agency is poised for its most radical shakeup in decades. (Ars Technica)+ NASA has made an air traffic control system for drones. (MIT Technology Review) 7 Finland is harvesting heat from its data centersWhile no data center is good for the environment, this helps lessen their footprint. (Bloomberg $)+ The next data center hub? India. (FT $)+ These four charts sum up the state of AI and energy. (MIT Technology Review) 8 Airbnb wants to become the next everything-appIt wants to expand beyond vacations and into a community platform, apparently. (Wired $)+ Hotel-like services, anyone? (NYT $)+ Its host features have been overhauled, too. (The Verge) 9 The FBI is buying new tech to help it see through wallsThanks to radar. (New Scientist $) 10 Baidu is planning to launch its robotaxis in Europe In a bid to extend its competitive advantage overseas. (WSJ $)+ How Wayve’s driverless cars will meet one of their biggest challenges yet. (MIT Technology Review) Quote of the day “It’s literally Einstein’s proverbial definition of insanity: doing the same thing over and over again and expecting a different result.” —Entrepreneur Arnaud Bertrand reflects on America’s latest attempt to rein in Huawei in a post on X. One more thing How DeepSeek ripped up the AI playbook—and why everyone’s going to follow its lead When the Chinese firm DeepSeek dropped a large language model called R1 at the start of this year, it sent shock waves through the US tech industry. Not only did R1 match the best of the homegrown competition, it was built for a fraction of the cost—and given away for free. DeepSeek has now suddenly become the company to beat. What exactly did it do to rattle the tech world so fully? Is the hype justified? And what can we learn from the buzz about what’s coming next? Here’s what you need to know.   —Will Douglas Heaven We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)+ Happy birthday to the one, the only Stevie Wonder—75 years young this week.+ A scooped bagel? Not on my watch. + A few tips on how to navigate some of life’s trickier conversations with ease.+ Everyone’s got a random junk drawer. Here’s how to get it under control.

Electronic waste is one of the top contributors to the world’s ever-growing trash problem. As long as we keep producing new gadgets and devices, there will be all kinds of waste that will probably end up in the landfill eventually once they reach end of life. Good thing there are designers that are constantly seeking innovative ways to integrate sustainability into their creations. One of those designers is Joe Doucet, known for his thought-provoking and often minimalist aesthetic. This time he has taken this sustainability challenge by creating a piece of furniture that is also a compelling statement about the potential for repurposing discarded materials and transforming them into objects of beauty and functionality. The OLO Table is constructed from discarded electronic waste with old refrigerators, keyboards, and computer mice are given a new lease on life. Designer: Joe Doucet The material at the heart of this innovative table is Polygood Oyster, a testament to the transformative power of recycling. This unique material is meticulously crafted from polystyrene, carefully extracted from a diverse range of electronic waste. Once harvested, the polystyrene undergoes a process of thermoforming, where heat and pressure are applied to shape it into the desired forms, in this case, the table’s base. The inherent beauty of Polygood lies in its composition. The recycling process leaves behind a captivating tapestry of colorful flecks and fragments, remnants of the electronics from which it originated. These visual inclusions aren’t imperfections; they serve as a tangible layer of history, each table subtly narrating the story of its past life. This intriguing visual element adds depth and character to the piece, making it a unique object of conversation. Furthermore, the fluid geometry of the OLO table, with its seamless and monolithic top flowing into semi-circular legs, directly embodies the closed-loop design philosophy championed by both Joe Doucet and The Good Plastic Company, the manufacturers of Polygood. This continuous form visually represents the cyclical nature of the material, where discarded resources are given new purpose in a closed system, minimizing waste and maximizing material value. The OLO table is more than just an aesthetically pleasing piece of furniture; it embodies a powerful message about circularity and the value of waste. By utilizing discarded electronics, Doucet addresses the growing problem of e-waste, transforming what is typically considered refuse into a desirable and functional object. This approach challenges our perception of waste and highlights the potential for innovative upcycling in the design industry. However, you probably won’t be able to add this to your space as it’s a one-off creation and there are no plans to produce more in the future. The post Terrazzo-like table brings electronic waste to life with closed-loop design first appeared on Yanko Design.

Think tap to pay — but smarter and safer. Visa is tapping into AI to enhance services for its global network of customers, focused on fraud prevention, personalization and agentic commerce. Sarah Laszlo, senior director of Visa’s machine learning platform, joined the AI Podcast to discuss how artificial intelligence is powering the next generation of payment experiences. Visa processes hundreds of billions of transactions each year, so even small technological enhancements can have a large impact. The company prevents $40 billion in fraud annually. “There’s so much attempted fraud that, even though we’re very good at preventing it, marginal improvements save large dollar amounts,” Laszlo said. AI also powers Visa’s personalization systems, delivering smarter, more relevant offers and recommendations to cardholders. The company’s unique dataset presents a huge opportunity to improve transaction predictions — but also brings privacy challenges. “The key to addressing those challenges is building abstract representations of users — embeddings that capture preferences without exposing private data,” Laszlo said. The company is also working toward agentic commerce — where AI agents help customers with payments. For example, AI agents with access to payment credentials can handle transactions on behalf of consumers, like booking travel arrangements, when instructed. Laszlo shared best practices for enterprises adopting generative AI. She also recommended using open-source models when possible and developing strong relationships between governance and technical teams. In one success story, Visa used GPT-4 to convert legacy code to Python, saving $5 million, with just one engineer completing 50 conversion jobs in a quarter. To learn more, watch Laszlo’s GTC session, The Next Era of Payments: How Generative AI is Shaping the Future. Time Stamps 03:28 – Visa’s priorities for AI use. 07:09 – How Visa optimizes resources using virtual GPUs. 14:42 – AI factories and unified pipelines. 18:52 – Best practices for AI in financial services. You Might Also Like…  NVIDIA’s Jacob Liberman on Bringing Agentic AI to Enterprises Agentic AI enables developers to create intelligent multi-agent systems that reason, act and execute complex tasks with a degree of autonomy. Jacob Liberman, director of product management at NVIDIA, explains how agentic AI bridges the gap between powerful AI models and practical enterprise applications. Firsthand’s Jon Heller Shares How AI Agents Enhance Consumer Journeys in Retail Jon Heller, co-CEO and founder of Firsthand, discusses how the company’s Brand Agents are transforming the retail landscape by personalizing customer journeys, converting marketing interactions into valuable research data and enhancing the customer experience with hyper-personalized insights and recommendations. Telenor Builds Norway’s First AI Factory, Offering Sustainable and Sovereign Data Processing Telenor opened Norway’s first AI factory in November 2024, enabling organizations to process sensitive data securely on Norwegian soil while prioritizing environmental responsibility. Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen discusses the AI factory’s rapid development, going from concept to reality in under a year.

Figma announced 'Sites' at Config 2025, which lets users create simple static websites from designs. Imagine a website generator like Framer or Webflow, but embedded inside Figma.The buzz is serious. Sites could become the de facto tool for quick marketing campaigns or small personal websites. But what if you need Sites to integrate with your existing design systems, custom components, and production code?Figma SitesFigma Sites is a visual developer tool similar to Webflow or Framer. It's focused on letting designers build websites without coding or leaving Figma.Its greatest strength is its integration with the Figma ecosystem. For designers already comfortable with the platform, Sites offers a path to deploy a design as a live website quickly.Easy interactivity and AI-enhanced codeFigma Sites includes numerous presets for everyday website interactions and effects. For instance, you can add a hover effect to a button or a typewriter effect to a text block.A future version of Sites will also include an AI tool for generating code.Responsive design and hands-off infrastructureFigma Sites can also display your design in desktop, tablet, and mobile layouts side by side. The preview version (press shift + space) and the published version are both fully responsive websites.Press the Publish button in the top-left corner once you’re ready to deploy the design into a working website. After some quick validations (it can even help with auto layout), Figma Sites will deploy your project to a generated URL. For a fee, you can wire up a custom domain.Coming soon: CMS and Code LayersRight now, Figma Sites translates your design into HTML and CSS. The team's future improvement, "Code Layers,” will take a user prompt and transform it into React and Tailwind CSS.Another future improvement is a CMS feature inside Figma Sites. This would allow users to manage their website content more efficiently. The idea of a fully integrated design-to-publish tool with an internal CMS is very appealing.Going from Figma to website to complete applicationSimple site builders are great for getting something online, but aren’t great at creating fully integrated applications that mesh with an existing codebase. This is a familiar problem.The challenge lies in moving beyond a static page built with HTML and CSS. What happens if you need this new site to use the Next.js framework and the App Router patterns that your team has adopted? Can you leverage your company's custom components? Is there a way to add complex user interactions? These limitations become significant hurdles for any product beyond a basic landing page or marketing campaign.Visual Editor: stepping beyond simple sitesBuilder.io's Visual Editor satisfies this larger need. Figma Sites gets you something fast without ever leaving the Figma ecosystem. Visual Editor gets you something nearly as fast, but it connects designs directly to your production codebase on one canvas.The core idea is different. Visual Editor is for feature-rich applications where your existing production codebase and design systems are first-class citizens.Figma Sites was engineered to transform a Figma design into a static site using no third-party tools and the most minimal toolchain possible. Visual Editor was engineered to transform designs into production applications at the enterprise scale:Figma-like precisionVisual Editor gives you a familiar, precise visual editing experience, but you're building interactive applications, not just static mockups. Use prompts to generate UI, then fine-tune it visually. The output isn't just a picture; it's code that works.Solving handoffsImport Figma designs with a click, and Builder translates them into interactive code using your component library. The CLI deeply integrates with your specific framework and codebase patterns, generating clean, maintainable code that developers want to work with. It respects your tech stack.On-brand generation, every timeStop worrying about brand drift. Because Builder understands your codebase, it uses your actual design system context—your colors, typography, spacing, and components—automatically ensuring everything generated is consistent and on-brand. No more manual checking.Dual workflows (develop & publish)Builder offers flexibility. Developers can use it to build new UIs that integrate directly with application code. Marketers or designers can use the 'Publish' workflow to create and update content visually using pre-built components, without needing a developer or a new deployment. This addresses the content bottleneck, too.Smashing workflow silosVisual Editor provides a unified canvas for design, development, and content updates. It fits into existing developer workflows (like Git) rather than trying to replace them, enabling better collaboration across the entire digital team.Getting started with Visual EditorReady to see the difference? You can try Visual Editor and experience how it connects to a real codebase.Open the Visual Copilot Figma plugin. Install it from the Figma Community if you haven't already.Select a layer or design in your Figma file that you want to bring into Builder.io.Click the "Export Design" button within the plugin.Click the "View Code in Builder" button. This will open your design directly in the Builder.io Visual Editor.(Optional) Enhance in the Visual Editor: Use AI prompts or manual controls to add interactivity, connect data, or refine the design within Builder.Generate code with the CLI: Copy the provided CLI command from Builder.io and run it in your local project's terminal. The CLI will analyze your codebase and generate the integrated, production-ready code components.The best way to understand the power of Visual Editor is to experience how it generates code that uses your components and fits your workflow.ConclusionFigma Sites is a big step forward for Figma. If you already work with the platform, you get all your favorite Figma features and a near-frictionless path to simple, real websites.Sites fills an essential market need. But you might find the tool underpowered if your team faces the challenges of integrating designs with a complex codebase, maintaining brand consistency across an extensive application, or enabling collaboration between large, diverse teams. In those cases, Builder's Visual Editor is the enterprise-grade solution. It provides a robust, integrated visual development environment that respects your code and scales with your product.Further reading Introducing Visual Copilot: convert Figma designs to high quality code in a single click.Try Visual CopilotGet a demo

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company’s vast computing empire. AlphaEvolve pairs Google’s Gemini large language models with an evolutionary approach that tests, refines, and improves algorithms automatically. The system has already been deployed across Google’s data centers, chip designs, and AI training systems — boosting efficiency and solving mathematical problems that have stumped researchers for decades. “AlphaEvolve is a Gemini-powered AI coding agent that is able to make new discoveries in computing and mathematics,” explained Matej Balog, a researcher at Google DeepMind, in an interview with VentureBeat. “It can discover algorithms of remarkable complexity — spanning hundreds of lines of code with sophisticated logical structures that go far beyond simple functions.” The system dramatically expands upon Google’s previous work with FunSearch by evolving entire codebases rather than single functions. It represents a major leap in AI’s ability to develop sophisticated algorithms for both scientific challenges and everyday computing problems. Inside Google’s 0.7% efficiency boost: How AI-crafted algorithms run the company’s data centers AlphaEvolve has been quietly at work inside Google for over a year. The results are already significant. One algorithm it discovered has been powering Borg, Google’s massive cluster management system. This scheduling heuristic recovers an average of 0.7% of Google’s worldwide computing resources continuously — a staggering efficiency gain at Google’s scale. The discovery directly targets “stranded resources” — machines that have run out of one resource type (like memory) while still having others (like CPU) available. AlphaEvolve’s solution is especially valuable because it produces simple, human-readable code that engineers can easily interpret, debug, and deploy. The AI agent hasn’t stopped at data centers. It rewrote part of Google’s hardware design, finding a way to eliminate unnecessary bits in a crucial arithmetic circuit for Tensor Processing Units (TPUs). TPU designers validated the change for correctness, and it’s now headed into an upcoming chip design. Perhaps most impressively, AlphaEvolve improved the very systems that power itself. It optimized a matrix multiplication kernel used to train Gemini models, achieving a 23% speedup for that operation and cutting overall training time by 1%. For AI systems that train on massive computational grids, this efficiency gain translates to substantial energy and resource savings. “We try to identify critical pieces that can be accelerated and have as much impact as possible,” said Alexander Novikov, another DeepMind researcher, in an interview with VentureBeat. “We were able to optimize the practical running time of [a vital kernel] by 23%, which translated into 1% end-to-end savings on the entire Gemini training card.” Breaking Strassen’s 56-year-old matrix multiplication record: AI solves what humans couldn’t AlphaEvolve solves mathematical problems that stumped human experts for decades while advancing existing systems. The system designed a novel gradient-based optimization procedure that discovered multiple new matrix multiplication algorithms. One discovery toppled a mathematical record that had stood for 56 years. “What we found, to our surprise, to be honest, is that AlphaEvolve, despite being a more general technology, obtained even better results than AlphaTensor,” said Balog, referring to DeepMind’s previous specialized matrix multiplication system. “For these four by four matrices, AlphaEvolve found an algorithm that surpasses Strassen’s algorithm from 1969 for the first time in that setting.” The breakthrough allows two 4×4 complex-valued matrices to be multiplied using 48 scalar multiplications instead of 49 — a discovery that had eluded mathematicians since Volker Strassen’s landmark work. According to the research paper, AlphaEvolve “improves the state of the art for 14 matrix multiplication algorithms.” The system’s mathematical reach extends far beyond matrix multiplication. When tested against over 50 open problems in mathematical analysis, geometry, combinatorics, and number theory, AlphaEvolve matched state-of-the-art solutions in about 75% of cases. In approximately 20% of cases, it improved upon the best known solutions. One victory came in the “kissing number problem” — a centuries-old geometric challenge to determine how many non-overlapping unit spheres can simultaneously touch a central sphere. In 11 dimensions, AlphaEvolve found a configuration with 593 spheres, breaking the previous record of 592. How it works: Gemini language models plus evolution create a digital algorithm factory What makes AlphaEvolve different from other AI coding systems is its evolutionary approach. The system deploys both Gemini Flash (for speed) and Gemini Pro (for depth) to propose changes to existing code. These changes get tested by automated evaluators that score each variation. The most successful algorithms then guide the next round of evolution. AlphaEvolve doesn’t just generate code from its training data. It actively explores the solution space, discovers novel approaches, and refines them through an automated evaluation process — creating solutions humans might never have conceived. “One critical idea in our approach is that we focus on problems with clear evaluators. For any proposed solution or piece of code, we can automatically verify its validity and measure its quality,” Novikov explained. “This allows us to establish fast and reliable feedback loops to improve the system.” This approach is particularly valuable because the system can work on any problem with a clear evaluation metric — whether it’s energy efficiency in a data center or the elegance of a mathematical proof. From cloud computing to drug discovery: Where Google’s algorithm-inventing AI goes next While currently deployed within Google’s infrastructure and mathematical research, AlphaEvolve’s potential reaches much further. Google DeepMind envisions applications in material sciences, drug discovery, and other fields requiring complex algorithmic solutions. “The best human-AI collaboration can help solve open scientific challenges and also apply them at Google scale,” said Novikov, highlighting the system’s collaborative potential. Google DeepMind is now developing a user interface with its People + AI Research team and plans to launch an Early Access Program for selected academic researchers. The company is also exploring broader availability. The system’s flexibility marks a significant advantage. Balog noted that “at least previously, when I worked in machine learning research, it wasn’t my experience that you could build a scientific tool and immediately see real-world impact at this scale. This is quite unusual.” As large language models advance, AlphaEvolve’s capabilities will grow alongside them. The system demonstrates an intriguing evolution in AI itself — starting within the digital confines of Google’s servers, optimizing the very hardware and software that gives it life, and now reaching outward to solve problems that have challenged human intellect for decades or centuries. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

We’re happy to announce that we’ve launched a new technical e-book, Create modular game architecture in Unity with ScriptableObjects, which provides best practices from professional developers for deploying ScriptableObjects in production.Along with the e-book, you can download a demo project from GitHub inspired by classic ball and paddle arcade game mechanics. The demo shows how ScriptableObjects can help you create components that are testable and scalable, while also being designer-friendly. Although a game like this could be built with far fewer lines of code, this demo shows ScriptableObjects in action.This post explains the benefits of ScriptableObjects, but doesn’t cover the basics or general coding in Unity. If you’re new to programming in Unity, head over to Unity Learn, which offers helpful introductory tutorials. The first chapter in the e-book also offers a solid primer.Let’s look at six ways you can benefit from using ScriptableObjects in your projects. Want to know more? All of these examples are explored further in the e-book and demo project.Although many of the techniques shared here can also be achieved using C# classes, one of the main benefits of ScriptableObjects is the accessibility to artists and designers. They can use ScriptableObjects to configure and apply game logic in a project without having to edit the code.The Editor makes it convenient to view and edit ScriptableObjects, enabling designers to set up gameplay data without heavy support from the developer team. This also applies to game logic, such as applying behavior to an NPC by adding a ScriptableObject (explained in the patterns below).Storing data and logic on a single MonoBehaviour can result in time-consuming merge conflicts if two people change different parts of the same Prefab or scene. By breaking up shared data into smaller files and assets with ScriptableObjects, designers can build gameplay in parallel with developers, instead of having to wait for the latter to finish setting up the gameplay in code before testing it.Issues can arise when colleagues with different roles access the game code and assets at the same time. With ScriptableObjects, the programmer can control what part of the project is editable in the Editor. Additionally, using ScriptableObjects to organize your code leads naturally to a codebase that’s more modular and efficient to test.Christo Nobbs, a senior technical game designer who specializes in systems game design and Unity (C#), contributed to The Unity game designer playbook, and is the main author of a blog post series on designing game systems in Unity. His posts, “Systems that create ecosystems: Emergent game design” and “Unpredictably fun: The value of randomization in game design” provide interesting examples of how designers can use ScriptableObjects.Modularity is a general software principle which can be implemented in C# without using ScriptableObjects. But, as mentioned above, ScriptableObjects help promote clean coding practices by separating data from logic, which is a first step toward modular game code. This separation means it’s easier to make changes without causing unintended side effects, and improves testability.ScriptableObjects excel at storing static data, making them handy for configuring static gameplay values like items or NPC stats, character dialogue, and much more. Because ScriptableObjects are saved as an asset, they persist outside of game mode, making it possible to use them for loading in a static configuration that dynamically changes at runtime.While changes to ScriptableObject data do persist in the Editor, it’s important to note that they are not designed for saving game data. In that case, it’s better to use a serialization system, such as JSON, XML, or a binary solution if performance is critical.MonoBehaviours carry extra overhead since they require a GameObject – and by default a Transform – to act as a host. This means you need to create a lot of unused data before storing a single value. A ScriptableObject slims down this memory footprint and drops the GameObject and Transform. It also stores data at the project level, which is helpful if you need to access the same data from multiple scenes.It’s common to have many GameObjects which rely on duplicate data that does not need to change at runtime. Rather than having this duplicate local data on each GameObject, you can funnel it into a ScriptableObject. Each of the objects stores a reference to the shared data asset, rather than copying the data itself. This can provide significant performance improvements in projects with thousands of objects.In software design, this is an optimization known as the flyweight pattern. Restructuring your code in this way using ScriptableObjects avoids copying values and reduces your memory footprint. Check out our e-book, Level up your code with game programming patterns to learn more about using design patterns in Unity.A good example of how ScriptableObjects can simplify your code is to use them as enums for comparison operations. The ScriptableObject can represent a category or item type, such as a special damage effect – cold, heat, electrical, magic, etc.If your application requires an inventory system to equip gameplay items, ScriptableObjects can represent item types or weapon slots. The fields in the Inspector then function as a drag-and-drop interface for setting them up.Using ScriptableObjects as enums becomes more interesting when you want to extend them and add more data. Unlike normal enums, ScriptableObjects can have extra fields and methods. There’s no need to have a separate lookup table or correlate with a new array of data.While traditional enums have a fixed set of values, ScriptableObject enums can be created and modified at runtime, allowing you to add or remove values as needed.If you have a long list of enum values without explicit numbering, inserting or removing an enum can change their order. This reordering can introduce subtle bugs or unintended behavior. ScriptableObject-based enums don’t have these issues. You can delete or add to your project without having to change the code every time.Suppose you want to make an item equippable in an RPG. You could append an extra boolean field to the ScriptableObject to do that. Are certain characters not allowed to hold certain items? Are some items magical or do they have special abilities? ScriptableObject-based enums can do that.Because you can create methods on a ScriptableObject, they are as useful for containing logic or actions as they are for holding data. Moving logic from your MonoBehaviour into a ScriptableObject enables you to use the latter as a delegate object, making the behavior more modular.If you need to perform specific tasks, you can encapsulate their algorithms into their own objects. The original Gang of Four refers to this general design as the strategy pattern. The example below shows how to make the strategy pattern more useful by using an abstract class to implement EnemyAI. The result is several derived ScriptableObjects with different behavior, which then becomes a pluggable behavior since each asset is interchangeable. You just drag and drop the ScriptableObject of choice into the MonoBehaviour.For a detailed example showing how to use ScriptableObjects to drive behavior, watch the video series Pluggable AI with ScriptableObjects. These sessions demonstrate a finite state machine-based AI system that can be configured using ScriptableObjects for states, actions, and transitions between those states.A common challenge in larger projects is when multiple GameObjects need to share data or states by avoiding direct references between these objects. Managing these dependencies at scale can require significant effort and is often a source of bugs. Many developers use singletons – one global instance of a class that survives scene loading. However, singletons introduce global states and make unit testing difficult. If you’re working with a Prefab that references a singleton, you’ll end up importing all of its dependencies just to test an isolated function. This makes your code less modular and efficient to debug.One solution is to use ScriptableObject-based events to help your GameObjects communicate. In this case, you are using ScriptableObjects to implement a form of the observer design pattern, where a subject broadcasts a message to one or more loosely decoupled observers. Each observing object can react independently from the subject but is unaware of the other observers. The subject can also be referred to as the “publisher” or “broadcaster” and the observers as “subscribers” or “listeners.”You can implement the observer pattern with MonoBehaviours or C# objects. While this is already common practice in Unity development, a script-only approach means your designers will rely on the programming team for every event needed during gameplay.At first glance, it appears that you’ve added a layer of overhead to the observer pattern, but this structure offers some advantages. Since ScriptableObjects are assets, they are accessible to all objects in your hierarchy and don’t disappear on scene loading.Easy, persistent access to certain resources is why many developers use singletons. ScriptableObjects can often provide the same benefits without introducing as many unnecessary dependencies.In ScriptableObject-based events, any object can serve as publisher (which broadcasts the event), and any object can serve as a subscriber (which listens for the event). The ScriptableObject sits in the middle and helps relay the signal, acting like a centralized intermediary between the two.One way to think about this is as an “event channel.” Imagine the ScriptableObject as a radio tower that has any number of objects listening for its signals. An interested MonoBehaviour can subscribe to the event channel and respond when something happens.The demo shows how the observer pattern helps you set up game events for UI, sounds, and scoring.At runtime, you’ll often need to track a list of GameObjects or components in your scene. For example, a list of enemies is something you’d need to frequently access, but it’s also a dynamic list that changes as more enemies are spawned or defeated. The singleton offers easy global access, but it has several drawbacks. Instead of using a singleton, consider storing data on a ScriptableObject as a “Runtime Set.” The ScriptableObject instance appears at the project level, which means it can store data that’s available to any object from any scene, offering similar global access. Since the data is located on an asset, its public list of items is accessible at any time.In this use case, you get a specialized data container that maintains a public collection of elements but also provides basic methods to add to and remove from the collection. This can reduce the need for singletons and improve testability and modularity.Reading data directly from a ScriptableObject is also more optimal than searching the Scene Hierarchy with a find operation like Object.FindObjectOfType or GameObject.FindWithTag. Depending on your use case and the size of your hierarchy, these are relatively expensive methods that can be inefficient for per-frame updates.There are several ScriptableObjects frameworks which offer more use cases than these six scenarios. Some teams decide to use ScriptableObjects extensively, while others limit their use to loading in static data and separating logic from data. Ultimately, the needs of your project will determine how you use them.Create modular game architecture in Unity with ScriptableObjects is the third guide in our series for intermediate to advanced Unity programmers. Each guide, authored by experienced programmers, provides best practices for topics that are important to development teams.Create a C# style guide: Write cleaner code that scales assists you with developing a style guide to help unify your approach to creating a more cohesive codebase.Level up your code with game programming patternshighlights best practices for using the SOLID principles and common programming patterns to create scalable game code architecture in your Unity project.We created this series to provide actionable tips and inspiration to our experienced creators, but they aren’t rule books. There are many ways to structure your Unity project and what might seem like a natural fit for one application may not be for another. Evaluate the advantages and disadvantages of each recommendation, tip, and pattern with your colleagues before deploying it.Find more advanced guides and articles on the Unity best practices hub.

North Boulder Library / WORKacSave this picture!© Bruce DamonteLibrary•Boulder, United States Architects: WORKac Area Area of this architecture project Area:  12800 ft² Year Completion year of this architecture project Year:  2024 Photographs Photographs:Bruce Damonte Manufacturers Brands with products used in this architecture project Manufacturers:  ELEVATE, Holcim, Alucobond, American Hydrotech, Daltile, Forbo, Guardian Glass , InCord, Kawneer, Montel, Overhead Door Corp., Swing Set Mall, Wilsonart More SpecsLess Specs Save this picture! Text description provided by the architects. The Boulder Public Library issued an open Request for Proposal (RFP) in 2018 for a new branch library in North Boulder, a project the community had anticipated for over two decades. The RFP called for an "iconic" building, which many competitors interpreted as a visually striking design. However, WORKac www.work.ac - the architecture firm based in New York City and led by Amale Andraos and Dan Wood - proposed a vision where the library's iconic status would stem from its sustainability and its positive impact on the community and environment.Save this picture!Save this picture!Save this picture!This innovative approach resonated with the library. The building stands out as an original project rooted in WORKac's significant past experiences. Andraos and Wood have always been deeply committed to issues in education, a dedication that culminated in Andraos' role as Dean of the Graduate School of Architecture, Planning and Preservation (GSAPP) at Columbia University, where Dan Wood is an Associate Adjunct Professor. At the time this project was commissioned, their Kew Gardens Hills Library in Queens, NY had just recently opened, a source of pride for its community, and their joyful Miami Museum Garage - which inventively transforms the simple and often frustrating act of parking a car into an unexpected opportunity for social interaction - had reached wide international resonance.Save this picture!Save this picture!Rooted in community engagement - The North Boulder Library is situated within a diverse neighborhood that blends new developments for young professionals, art studios, galleries, and two manufactured home communities that include Boulder's largest Spanish-speaking population. The chosen site is a triangular plot bordered by Broadway to the west and Three Mile Creek to the south, with stunning views to the Boulder Flatirons. WORKac's approach to the project was deeply rooted in community engagement.Save this picture!Save this picture!WORKac worked for almost eight years on the project, including a three-year Community Engagement and Site Planning process, which entailed more than twenty public presentations of the design during different phases to community groups, politicians, and stakeholders. More than 3,000 people attended the opening ceremony on June 29, 2024. "Today and every day we endeavor to render architecture more human, to turn the pragmatic fantastic, and to reclaim the 'best' in 'best practice' away from the technocratic and towards the creative. We approach every project, regardless of scale, program, type or context with the same passion, drawing resolute realism together with polemical optimism," say Amale Andraos and Dan Wood.Save this picture!Site, Program and Architecture - Boulder's unique geographical position at the intersection of the Rocky Mountains and the Great Plains has historically shaped its rugged architectural vernacular. The North Boulder Library design celebrates this context, acknowledging the area's complex relationship with the natural environment. Through its connections with the urban surroundings, the library not only reflects its environment but also enhances its visual and functional relationship with the local community.Save this picture!The design of the North Boulder Library was directly informed by the community's input, leading to the inclusion of key programs such as Boulder Reads, which supports literacy development for children and adults, and a "Maker Kitchen," which evolved from the community's desire for a maker space together with ideas for a community garden and kitchen area. "Our greatest delight is for others to feel a sense of joy, of belonging, and of possibilities for the future," state the architects.Save this picture!The building negotiates the triangular site that includes a seasonal creek running diagonally through it with a building that respects the scale of its residential neighbors to the north while opening up to views of the Flatiron Mountains and Rocky Mountain foothills to the south and west. The library is designed with the major community spaces on the second floor. The lower northern side integrates a shallow, fully- accessible ramp that allows these second-floor community and ESL classrooms to open at night when the library is closed, reinforcing the library's role as a community hub. This ramp is enhanced by a public art installation by Montreal-based Daily tous les jours that plays music as users ascend or descend. Despite its modest size, the building has four entrances and a variety of public spaces that seamlessly extend outdoors, connecting with both the residential neighborhood to the north and the Fourmile Canyon Creek park to the south.The building's design is both intriguing and unexpected. Its irregular geometry, a convergence of triangular forms, mirrors and influences the internal layout. This interplay of shapes creates a series of surprising spatial experiences.Save this picture!Save this picture!The main public floor is divided into a large reading room for adult patrons and a children's area with a private nook for story-reading and windows onto a slide that can be accessed through a rope climbing structure, allowing kids to climb up through the building and slide down into the library's new playground. Other key areas on the ground floor include the Maker Kitchen, which connects to an edible garden and playground, and large windows that offer breathtaking views of the mountains. The interior design incorporates custom elements like a wallpaper by graphic designer Andrew Freeman, principal at afreeman, featuring historical photos from Boulder's archives, celebrating the region's indigenous heritage. The building's exposed ceiling structure adds to the space's acoustic performance and aesthetic richness.Save this picture!WORKac's architecture is both unpretentious and inspiring. It embodies a sense of freedom that invites people to engage with the space and take ownership of it. This approach reflects a profound commitment to civic responsibility. Sustainability is a central focus of the project, with initial plans aiming for net-zero energy. Although some features were scaled back due to the COVID-19 pandemic and subsequent economic challenges, Boulder's stringent sustainability regulations ensured that the library maintained its high green building standards. A rooftop solar array supplies a significant portion of the building's energy, while the site includes a rainwater garden planted with native, butterfly-attracting flowers and shrubs to protect the seasonal creek from runoff.Save this picture!A testament to the power of thoughtful design - The North Boulder Library is a testament to the power of thoughtful, community-driven design. Despite a modest budget, WORKac has created a building that is both beautiful and functional, serving as a model for equitable public architecture. Funded entirely by the City of Boulder, the library stands as a beacon of progressive values, sustainability, and community engagement, reflecting the spirit of the city it serves. WORKac is the recipient of the 2023 Arts and Letters Award in Architecture, a prestigious honor given by the American Academy of Arts and Letters to recognize exceptional American architects whose work embodies artistic excellence and has made a significant impact on the field of architecture. They are currently working on the Beirut Art Museum in Lebanon and projects at Vassar College, including a renovation to its main library.Save this picture! Project gallerySee allShow less Project locationAddress:Boulder, United StatesLocation to be used only as a reference. It could indicate city/country but not exact address.About this officeWORKacOffice••• MaterialSteelMaterials and TagsPublished on May 14, 2025Cite: "North Boulder Library / WORKac" 14 May 2025. ArchDaily. 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