While in today’s edition of Power On, Bloomberg’s Mark Gurman mentioned a quiet but meaningful upgrade coming to Apple’s SwiftUI framework, 9to5Mac has learned of a second welcome improvement for developers who have been eager but unable to go all-in on SwiftUI app development. For years, SwiftUI has been marketed as the future of Apple app development: a modern way to build user interfaces that works across all Apple platforms. And for the most part, it does the job. Until you need to do something incredibly advanced like… support bold or italic text input, or embed web views. Finally, a built-in rich text editor Rich text has been one of SwiftUI’s biggest blind spots. It has had display-side rich text for a while, but nothing for input. And since there’s no built-in component specifically for that, developers have had to jump through hoops, mixing their code with good old UIKit, using third-party libraries, or hacking together awkward workarounds that break SwiftUI’s clean, platform-native feel. However, according to Gurman, this may be about to change: “And, in a development that will certainly appease many developers, SwiftUI, a set of Apple frameworks and tools for creating app user interfaces, will finally get a built-in rich text editor.” With a native rich text editor support reportedly on the way, Apple might finally be closing one of the most frustrating gaps in the framework. It’s a small change that might unlock a lot: better input fields for notes, messaging apps, documents, all without having to abandon SwiftUI’s declarative flow. Finally, web view embedding Adding to today’s report, 9to5Mac has also learned that Apple is preparing a new native API that will finally let developers embed web views in SwiftUI. Like with rich text support, this means developers won’t have to keep resorting to hacks or bridging UIKit code just to display a webpage. You can check the new code by yourself on WebKit’s GitHub page. These kinds of friction points are exactly what’s kept many developers from fully embracing SwiftUI. And while today’s news checks off just two long-standing items on their long wish lists, it might be enough to bring a few more of them onboard, which means better app experiences across the board for the rest of us. Add 9to5Mac to your Google News feed.  FTC: We use income earning auto affiliate links. More.You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel

By Naomi Keena and Avi Friedman (Routledge, 2024) The next frontier for housing is one that looks to embedding housing as part of a circular economy. Is it possible, this book asks, to disrupt the “take, make, waste” model of producing housing to instead provide affordable, waste-free housing? A circular economy approach is often associated with waste recovery: designing buildings so that their component parts can be disassembled and reused. But an equally important aim is to right-size buildings and keep them in use for as long as possible, through strategies including engaging in the sharing economy and planning for flexibility in the use of spaces. The book also explores the role of digitization and data standardization, such as in digital passports that track raw materials as they are used—and reused—over time. This book is primarily intended as an academic text, but for architects interested in the topic, there are gems to be gleaned, especially in the global case studies. A particularly revealing graphic shows the exponential growth of construction material use in the United States over the past century—a mountain that dwarfs all other resources. A circular economy approach to housing is not just a luxury—but will be necessary to reverse the trend, and ensure a sustainable future.  As appeared in the June 2025 issue of Canadian Architect magazine  The post Book review: Sustainable Housing in a Circular Economy appeared first on Canadian Architect.

Tech layoffs have continued in 2025. Much of that is being blamed on a combination of a slower economy and the adoption of automation via artificial intelligence. Nearly four in 10 Americans, for instance, believe generative AI (genAI) could diminish the number of available jobs as it advances, according to a study released in October by the New York Federal Reserve Bank. And the World Economic Forum’s Jobs Initiative study found that close to half (44%) of worker skills will be disrupted in the next five years — and 40% of tasks will be affected by the use of genAI tools and the large language models (LLMs) that underpin them. In April, the US tech industry lost 214,000 positions as companies shifted toward AI roles and skills-based hiring amid economic uncertainty. Tech sector companies reduced staffing by a net 7,000 positions in April, an analysis of data released by the US Bureau of Labor Statistics (BLS) showed. This year, 137 tech companies have fired 62,114 tech employees, according to Layoffs.fyi. Efforts to reduce headcount at government agencies by the unofficial US Department of Government Efficiency (DOGE) saw an additional 61,296 federal workers fired this year. Kye Mitchell, president of tech workforce staffing firm Experis US, believes the IT employment market is undergoing a fundamental transformation rather than experiencing traditional cyclical layoffs. Although Experis is seeing a 13% month-over-month decline in traditional software developer postings, it doesn’t represent “job destruction, it’s market evolution,” Mitchell said. “What we’re witnessing is the emergence of strategic technology orchestrators who harness AI to drive unprecedented business value,” she said. For example, organizations that once deployed two scrum teams of ten people to develop high-quality software are now achieving superior results with a single team of five AI-empowered developers. “This isn’t about cutting jobs; it’s about elevating roles,” Mitchell said. Specialized roles in particular are surging. Database architect positions are up 2,312%, statistician roles have increased 382%, and jobs for mathematicians have increased 1,272%. “These aren’t replacements; they’re vital for an AI-driven future,” she said. In fact, it’s an IT talent gap, not an employee surplus, that is now challenging organizations — and will continue to do so. With 76% of IT employers already struggling to find skilled tech talent, the market fundamentals favor skilled professionals, according to Mitchell. “The question isn’t whether there will be IT jobs — it’s whether we can develop the right skills fast enough to meet demand,” she said. For federal tech workers, outdated systems and slow procurement make it hard to attract and keep top tech talent. Agencies expect fast team deployment but operate with rigid, outdated processes, according to Justin Vianello, CEO of technology workforce development firm SkillStorm. Long security clearance delays add cost and time, often forcing companies to hire expensive, already-cleared talent. Meanwhile, modern technologists want to use current tools and make an impact — something hard to do with legacy systems and decade-long modernization efforts, he added. Many suggest turning to AI to will solve the tech talent shortage, but there is no evidence that AI will lead to a reduction in demand for tech talent, Vianello said. “On the contrary, companies see that the demand for tech talent has increased as they invest in preparing their workforce to properly use AI tools,” he said. A shortage of qualified talent is a bigger barrier to hiring than AI automation, he said, because organizations struggle to find candidates with the right certifications, skills, and clearances — especially in cloud, cybersecurity, and AI. Tech workers often lack skills in these areas because technology evolves faster than education and training can keep up, Vianello said. And while AI helps automate routine tasks, it can’t replace the strategic roles filled by skilled professionals. Seven out of 10 US organizations are struggling to find skilled workers to fill roles in an ever-evolving digital transformation landscape, and genAI has added to that headache, according to a ManpowerGroup survey released earlier this year. Job postings for AI skills surged 2,000% in 2024, but education and training in this area haven’t kept pace, according to Kelly Stratman, global ecosystem relationships enablement leader at Ernst & Young. “As formal education and training in AI skills still lag, it results in a shortage of AI talent that can effectively manage these technologies and demands,” she said in an earlier interview. “The AI talent shortage is most prominent among highly technical roles like data scientists/analysts, machine learning engineers, and software developers.” Economic uncertainty is creating a cautious hiring environment, but it’s more complex than tariffs alone. Experis data shows employers adopting a “wait and watch” stance as they monitor economic signals, with job openings down 11% year-over-year, according to Mitchell. “However, the bigger story is strategic workforce planning in an era of rapid technological change. Companies are being incredibly precise about where they allocate resources. Not because of economic pressure alone, but because the skills landscape is shifting so rapidly,” Mitchell said. “They’re prioritizing mission-critical roles while restructuring others around AI capabilities.” Top organizations see AI as a strategic shift, not just cost-cutting. Cutting talent now risks weakening core areas like cybersecurity, according to Mitchell. Skillstorm’s Vianello suggests that IT job hunters should begin to upgrade their skills with certifications that matter: AWS, Azure, CISSP, Security+, and AI/ML credentials open doors quickly, he said. “Veterans, in particular, have an edge; they bring leadership, discipline, and security clearances. Apprenticeships and fellowships offer a fast track into full-time roles by giving you experience that actually counts. And don’t overlook the intangibles: soft skills and project leadership are what elevate technologists into impact-makers,” Vianello said. Skills-based hiring has been on the rise for several years, as organizations seek to fill specific needs for big data analytics, programing (such as Rust), and AI prompt engineering. In fact, demand for genAI courses is surging, passing all other tech skills courses spanning fields from data science to cybersecurity, project management, and marketing. “AI isn’t replacing jobs — it’s fundamentally redefining how work gets done. The break point where technology truly displaces a position is when roughly 80% of tasks can be fully automated,” Mitchell said. “We’re nowhere near that threshold for most roles. Instead, we’re seeing AI augment skill sets and make professionals more capable, faster, and able to focus on higher-value work.” Leaders use AI as a strategic enabler — embedding it to enhance, not compete with, human developers, she said. Some industry forecasts predict a 30% productivity boost from AI tools, potentially adding more than $1.5 trillion to global GDP. For example, AI tools are expected to perform the lion’s share of coding. Techniques where humans use AI-augmented coding tools, such as “vibe coding,” are set to revolutionize software development by creating source code, generating tests automatically, and freeing up developer time for innovation instead of debugging code.  With vibe coding, developers use natural language in a conversational way that prompts the AI model to offer contextual ideas and generate code based on the conversation. By 2028, 75% of professional developers will be using vibe coding and other genAI-powered coding tools, up from less than 10% in September 2023, according to Gartner Research. And within three years, 80% of enterprises will have integrated AI-augmented testing tools into their software engineering tool chain — a significant increase from approximately 15% early last year, Gartner said. A report from MIT Technology Review Insights found that 94% of business leaders now use genAI in software development, with 82% applying it in multiple stages — and 26% in four or more. Some industry experts place genAI’s use in creating code much higher. “What we are finding is that we’re three to six months from a world where AI is writing 90% of the code. And then in 12 months, we may be in a world where AI is writing essentially all of the code,” Anthropic CEO Dario Amodei said in a recent report and video interview. “The real [AI] transformation is in role evolution. Developers are becoming strategic technology orchestrators,” Mitchell from Experis said. “Data professionals are becoming business problem solvers. The demand isn’t disappearing; it’s becoming more sophisticated and more valuable. “In today’s economic climate, having the right tech talent with AI-enhanced capabilities isn’t a nice-to-have, it’s your competitive edge,” she said.

French startup Mistral AI on Wednesday unveiled Codestral Embed, its first code-specific embedding model, claiming it outperforms rival offerings from OpenAI, Cohere, and Voyage. The company said the model supports configurable embedding outputs with varying dimensions and precision levels, allowing users to manage trade-offs between retrieval performance and storage requirements. “Codestral Embed with dimension 256 and int8 precision still performs better than any model from our competitors,” Mistral AI said in a statement. Codestral Embed is designed for use cases such as code completion, editing, or explanation tasks. It can also be applied in semantic search, duplicate detection, and repository-level analytics across large-scale codebases, the company said.“Codestral Embed supports unsupervised grouping of code based on functionality or structure,” Mistral AI added. “This is useful for analyzing repository composition, identifying emergent architecture patterns, or feeding into automated documentation and categorization systems.” The model is available through Mistral’s API under the name codestral-embed-2505, priced at $0.15 per million tokens. A batch API version is offered at a 50 percent discount, and on-premise deployments are available through direct consultation with the company’s applied AI team.The launch follows Mistral’s recent introduction of the Agents API, which the company said complements its Chat Completion API and is intended to simplify the development of agent-based applications. Enterprise interest in embeddings Advanced code embedding models are gaining traction as key tools in enterprise software development, offering improvements in productivity, code quality, and risk management across the software lifecycle. “Models like Mistral’s Codestral Embed enable precise semantic code search and similarity detection, allowing enterprises to quickly identify reusable code and near-duplicates across large repositories,” said Prabhu Ram, VP of the industry research group at Cybermedia Research. “By facilitating rapid retrieval of relevant code snippets for bug fixes, feature enhancements, or onboarding, these embeddings significantly improve maintenance workflows.” However, despite promising early benchmarks, the long-term value of such models will depend on how well they perform in production environments. Factors such as ease of integration, scalability across enterprise systems, and consistency under real-world coding conditions will play a crucial role in determining their adoption. “Codestral Embed’s strong technical foundation and flexible deployment options make it a compelling solution for AI-driven software development, though its real-world impact will require validation beyond initial benchmark results,” Ram added. Further reading Vector Institute aims to clear up confusion about AI model performance When LLMs become influencers Researchers reveal flaws in AI agent benchmarking What misleading Meta Llama 4 benchmark scores show enterprise leaders about evaluating AI performance claims How CIOs navigate generative AI in the enterprise

On Designing National Pavilions: Power and Identity at Universal ExhibitionsSave this picture!Czech Pavilion Expo 2025 Osaka / Apropos Architects Image © boysplayniceWhat can a pavilion’s architecture reveal about its country? At major World Expos, national pavilions are designed to answer this question, transforming into spaces laden with symbolism. Though temporary, these structures are rich in meaning, functioning as architectural expressions of political identity. Their forms and materials encapsulate national ambitions. Expo Osaka 2025, the latest chapter in this ongoing narrative, showcases how nations increasingly use built space to construct global images of themselves—sustainable, technological, culturally distinct, and geopolitically relevant. Save this picture!Over the decades, these pavilions have evolved into meticulously curated narratives where architecture, politics, and culture intersect to shape national identity. At Osaka 2025, this symbolic and diplomatic function becomes even more pronounced. Pavilions communicate not only who a nation is, but who it aspires to be. The environmental agenda, for example, has become a compelling vector of soft power. Japan’s pavilion exemplifies this shift, employing local wood, parametric design, and natural ventilation not just for function, but as metaphors of circularity and harmony with nature.Save this picture!Meanwhile, countries like Saudi Arabia and the United Arab Emirates are embracing immersive technologies—augmented reality, responsive facades, and AI—to reframe their narratives. No longer defined solely by oil economies, they seek to position themselves as innovation-driven futurescapes. In this context, national identity is staged like a multisensory installation. Materials, sounds, aromas, lighting, and spatial choreography become tools for storytelling—none of them neutral, all of them charged with intent. Related Article Are World's Fairs a Thing of the Past? The Role that Architecture Played on One of History's Biggest Stages Architecture as a Political StatementPavilions transcend cultural or technological display to become instruments of political messaging. Architectural choices convey nuanced—or at times overt—signals about values, ambitions, and worldviews. Denmark’s Expo 2020 Dubai pavilion, with open ramps and fluid circulation, subtly suggests democratic transparency and inclusion, while Russia’s monumental spiral structure evokes nationalism and technological command. Here, architecture becomes a codified discourse: every curve, void, and surface reads like a political sign.Save this picture!This language continues at Osaka 2025. Israel’s pavilion, inspired by the ecological resilience of deserts, presents a narrative of innovation and perseverance amid adversity—an architectural response to both climate challenges and regional geopolitics. Bahrain’s contribution, by Lina Ghotmeh Architecture, focuses on the adaptability of maritime cultures. South Korea’s high-tech, futuristic pavilion reinforces its position as a rising digital powerhouse.In some instances, however, absence speaks just as loudly. In previous editions, countries like North Korea and Syria have boycotted the Expo as a form of political protest. These silent gestures are part of the same strategic vocabulary, where presence, form, and even withdrawal shape the geopolitical stage set by architecture.Save this picture!Sustainability on DisplayAmid the global climate crisis, national pavilions have also become key arenas for environmental diplomacy. Sustainability—once a peripheral concern—is now central to the architectural narrative of Expos. It’s no longer only about meeting green standards, but about crafting a spatial language that embodies ecological responsibility. This shift also challenges the very notion of ephemerality: where temporariness once defined these structures, reuse, intelligent disassembly, and material reintegration now drive their conception.This ecological turn is particularly evident at Expo Osaka 2025. With the theme “Designing Future Society for Our Lives,” the event encourages models of regenerative, cooperative, and resilient living. Sweden’s and Germany’s pavilions are designed for a second life, to be repurposed as schools or community centers. The U.S. pavilion, designed by Trahan Architects, incorporates steel, fabric, and HVAC components repurposed from Tokyo 2020 Olympics structures—materials slated for further reuse across Japan. In this framework, the Expo becomes a laboratory of environmental geopolitics, where sustainability itself is a form of soft power.Save this picture!Technological Spectacle as a National StrategyIn contemporary Universal Exhibitions, technology is no longer displayed as an end in itself but has become a narrative and experiential medium. Immersive installations, sensory interfaces, and AI-driven storytelling transform pavilions into interactive ecosystems, where visitors are both spectators and agents. This shift signals a significant change: it is no longer just about showcasing innovation, but about embedding technology into the dramaturgy of space. Architecture, in this context, ceases to be a static backdrop and merges with experience design, dissolving the boundaries between the built and the digital. Moreover, the way each country orchestrates these elements reveals its ability to envision desirable futures—and to position itself as a protagonist in the global technological transformation.Save this picture!At Expo Osaka 2025, this race for technological affirmation takes clear shape in pavilions such as that of the United Arab Emirates, which offers an interactive journey through environments responsive to human presence, narrative artificial intelligence, and real-time sensors that react to visitors’ actions—demonstrating a sophisticated technical mastery with implications across multiple spheres. In a similar vein, the Uzbekistan Pavilion stands out with an exhibition focused on empowerment, highlighting the country’s openness to innovation and its commitment to preparing for the future.Yet this immersion presents a growing tension: how to balance technological spectacle with architectural integrity. In some cases, architecture risks being overshadowed by its digital overlay, losing spatial coherence. The most compelling pavilions are those that fuse form, function, and innovation into a seamless whole, where technology becomes not an add-on, but an intrinsic architectural language.Save this picture!Intercultural Collaborations: The True LegacyWhile Universal Exhibitions are organized around national representation, they have also emerged as vital platforms for cultural exchange. Increasingly, national pavilions are designed by multicultural teams, resulting in more nuanced, inclusive, and inventive expressions of identity, not as a fixed essence, but as something fluid and co-constructed.Save this picture!At Osaka 2025, this collaborative ethos is exemplified by pavilions such as Switzerland’s, designed by an international team, and Indonesia’s, which brings together local architects and foreign consultants. These collaborations offer more than design efficiency—they signal gestures of quiet diplomacy. In a climate of resurgent nationalism, such exchanges underscore that innovation thrives through openness and dialogue. Each pavilion becomes a space of mutual learning, expanding the very meaning of global belonging.Save this picture!Ultimately, the lasting value of Expos may not lie in reinforcing national brands, but in fostering encounters—shared spaces where ideas, technologies, and cultures converge to respond to urgent global challenges. As architect Manuel Herz, designer of the Swiss Pavilion, puts it: “In a moment of global tension, every possibility for us to physically meet in a shared space and celebrate something that can still be described as a cosmopolitan spirit needs to be valued and utilized.” Amid so many crises, pavilions remind us that architecture is more than shelter or style—it is a vessel for connection, a space for learning, and a rehearsal for futures we must build together.We invite you to check out ArchDaily's comprehensive coverage of the Expo Osaka 2025. Image gallerySee allShow less About this authorCamilla GhisleniAuthor••• Cite: Ghisleni, Camilla. "On Designing National Pavilions: Power and Identity at Universal Exhibitions" [Projetando Pavilhões Nacionais: Poder e Identidade nas Exposições Universais] 30 May 2025. ArchDaily. (Trans. Simões, Diogo) Accessed . <https://www.archdaily.com/1030539/on-designing-national-pavilions-power-and-identity-at-universal-exhibitions&gt ISSN 0719-8884Save世界上最受欢迎的建筑网站现已推出你的母语版本!想浏览ArchDaily中国吗?是否 You've started following your first account!Did you know?You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.Go to my stream

Long CoT reasoning improves large language models’ performance on complex tasks but comes with drawbacks. The typical “think-then-answer” method slows down response times, disrupting real-time interactions like those in chatbots. It also risks inaccuracies, as errors in earlier reasoning steps can lead to a misleading final answer. Unlike humans, who often share partial thoughts or conclusions during conversations, LLMs delay responses until all reasoning is complete. While RL is commonly used to train reasoning models, it mainly rewards final answers, overlooking useful intermediate insights. There is growing interest in teaching models that alternate between thinking and answering, but this remains a challenge.  RL has become a popular method to enhance reasoning in LLMs, building on its success in aligning models with human preferences. Two common reward types guide RL: outcome-based rewards (ORM), which focus on the final answer, and process-based rewards (PRM), which provide feedback on intermediate reasoning steps. While PRMs offer more detailed supervision, they often rely on human annotation and additional models, making them complex and prone to issues like reward hacking. Separately, efforts to improve LLM reasoning have explored prompting strategies, structured reasoning, tool integration, and methods to reduce latency and improve efficiency.  Researchers from Apple and Duke University introduce Interleaved Reasoning, a new RL approach that enables language models to alternate between thinking and answering when solving complex, multi-step questions. Instead of waiting until the end to respond, models provide informative intermediate answers, which improves feedback for users and guides their reasoning. Using a straightforward rule-based reward, the model is trained to produce helpful reasoning steps, leading to over 80% faster responses and up to 19.3% better accuracy. Trained only on QA and logic datasets, the method demonstrates strong generalization to more challenging benchmarks, such as MATH, GPQA, and MMLU.  The study proposes a reinforcement learning framework to train LLMs for Interleaved Reasoning, where models alternate between internal thinking and user-facing intermediate answers. Each intermediate step, or “sub-answer,” is shared once the model reaches a meaningful milestone in reasoning. A specialized training template with <think> and <answer> tags is used. The approach utilizes rule-based rewards—specifically, format, final accuracy, and conditional intermediate accuracy—to guide learning. Notably, intermediate rewards are applied only when specific criteria are met, ensuring the model prioritizes overall correctness. They also test different reward schemes, such as all-or-none, partial credit, and time-discounted rewards, to optimize the quality of reasoning.  The interleaved reasoning approach was evaluated on both familiar and unfamiliar datasets using Qwen2.5 models (1.5B and 7B). Unlike traditional methods that separate thinking and answering, the interleaved method provides answers incrementally, improving both speed and usefulness. When combined with intermediate rewards, it significantly enhances model performance while reducing response delays by over 80%. Even without exposure to new domains during training, the model adapts well, showing strong generalization. These results highlight the value of interleaved reasoning in making AI systems more responsive and effective in real-world, multi-step reasoning tasks.  In conclusion, the study explores how interleaved reasoning—where models alternate between reasoning and generating intermediate answers—can significantly improve performance and responsiveness. Using the Qwen2.5-1.5B model, the authors show that providing timely intermediate feedback during training boosts accuracy and accelerates response generation. Different RL strategies were tested, with PPO showing stable results, and conditional, time-discounted rewards proving to be the most effective. The method scales well to complex tasks and outperforms traditional think-then-answer baselines. Unlike token-level reward models, this approach employs simple rule-based rewards after completing full reasoning steps, thereby avoiding reward hacking. Ultimately, interleaved reasoning enhances reasoning quality and efficiency without relying on external tools.  Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/National University of Singapore Researchers Introduce Dimple: A Discrete Diffusion Multimodal Language Model for Efficient and Controllable Text GenerationSana Hassanhttps://www.marktechpost.com/author/sana-hassan/LLMs Can Now Reason Beyond Language: Researchers Introduce Soft Thinking to Replace Discrete Tokens with Continuous Concept EmbeddingsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary SearchSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Microsoft Releases NLWeb: An Open Project that Allows Developers to Easily Turn Any Website into an AI-Powered App with Natural Language Interfaces

The campus will be West Africa's first dedicated children's cancer research centre 1/5 show caption Adjaye Associates has unveiled its designs for a research centre in Ghana which will be West Africa’s first institution dedicated entirely to the treated of childhood cancers. The  225,000sq m International Children’s Cancer Research Centre (ICCRC) in Kyebi has been designed for the Wish4Life Foundation, a US nonprofit based in New York. Set on the eastern slopes of the Atewa Range, the centre is envisioned as a “holistic sanctuary for healing, research, teaching, and community”. It aims to increase survival rates from the region’s current approximation of 10% to levels approaching the 80% benchmark seen in the United States.  Adjaye Associates said the project represents a new model for paediatric care rooted in local traditions, supported by global excellence, and built to be financially self sustaining.   The firm’s design has been inspired by local beliefs that illness is a disrupotion of personal and communal harmony, with the centre to be rooted in biophilic design to integrate it into the surrounded forested landscape. Aerial view of the campus masterplan David Adjaye said: “I believe design can provide a critical inquiry into social responsibility and civic consciousness. I have always sought to work out the aesthetics of this inquiry in my work. At its best, architecture should contribute to a social change agenda.” Buildings will be constructed using locally sourced materials including rammed earth, composite earth slabs, timber, and clay brickwork. Pre-cast low-carbon concrete screens that shade clinical and research buildings reference Kente weaving patterns, embedding ancestral memory and cultural identity into the architecture.  Passive cooling, site-specific orientation, and photovoltaic energy systems aim to ensure sustainability and resilience in the face of changing environmental conditions. The ICCRC campus includes a children’s hospital, advanced research laboratories, a training institute for oncologists, staff and family residences, a chapel, and a dedicated family support centre.

Enterprises today face a critical imperative. Artificial intelligence is not just a technological evolution; it is a strategic driver of business transformation. AI is reshaping competitive advantage, redefining business models, and unlocking new revenue streams. Yet, many organizations continue to treat AI as a technical add-on, rather than a core business capability. According to a 2023 McKinsey report, organizations that integrate AI across their operations are 1.5 times more likely to experience double-digit revenue growth.  For CIOs and enterprise architects, AI is no longer an IT issue -- it’s a boardroom priority. AI’s role extends far beyond driving efficiencies in operational processes. It is the key to unlocking agility, reshaping decision-making, and transforming business models. CIOs must lead the charge in embedding AI as a strategic enabler, aligning technology with the enterprise’s broader objectives to drive sustainable growth. The Strategic Impact of AI: Drive Business Outcomes Many companies are on the verge of digital transformation to modernize their IT landscapes, yet AI is often viewed as a mere innovation metric, added to enhance existing systems. AI should be embedded when designing core business processes to align business architecture with IT architecture. Related:AI’s true potential lies in its ability to drive enterprise-wide agility, transform decision-making, and accelerate business outcomes. AI empowers leadership teams by providing real-time, data-driven insights that enable smarter, faster decisions. CIOs and enterprise architects must work together to ensure that AI adoption is seamless and strategically integrated, avoiding the temptation of tactical, short-term solutions that fail to scale.  The CIO Playbook: Leading AI-Driven Transformation To harness AI’s full potential, CIOs need a structured roadmap for its integration into the business. Here’s a playbook for AI-first enterprise transformation: Establish a clear AI vision aligned with business goals.  AI should not be siloed within the IT department; it must be part of a broader strategic vision. CIOs should collaborate closely with the C-suite to align AI initiatives with the organization’s core objectives-whether that’s driving customer engagement, enhancing operational efficiency, or unlocking new revenue streams. Invest in enterprise-wide AI integration.  AI must be embedded across all facets of the organization: business, technology, data and applications. This requires a holistic approach to AI architecture, integrating AI at all levels to ensure scalability and flexibility as the business evolves. Related:Leadership Imperative: Govern AI for Long-Term Success As AI continues to evolve, CIOs must play a critical role in shaping AI governance to ensure long-term business success. This includes managing risk, ensuring ethical use, and embedding AI into the enterprise’s culture. For CIOs, AI governance is more than compliance; it’s about creating a framework that promotes innovation while safeguarding the organization’s values and business priorities. The Road Ahead For CIOs and enterprise architects, the question is no longer if they should adopt AI, but how to embed it at the heart of enterprise transformation. AI-first organizations -- those that embrace AI as a core driver of business change -- are outpacing competitors in digital transformation maturity.  AI has the power to redefine leadership decision-making, enhance operational performance, and fuel new business models. But to reap the full benefits, CIOs must lead with vision, govern strategically, and integrate AI seamlessly into the organization’s DNA. Those who do will position their enterprises for long-term, sustainable growth.