Get ready, gamers! 🎮 The excitement is building as IO Interactive gears up for its showcase at Summer Games Fest 2025 on June 6 at 9 PM ET/6 PM PT. Mark your calendars because this is your chance to catch the latest on their new James Bond game, 007 First Light! The showcase will stream live on Twitch, YouTube, and TikTok, so you can tune in wherever you prefer. Plus, we've got the YouTube stream embedded so you can watch it right here while staying updated on all other thrilling reveals at the fest. What are you most excited to see from IO Interactive? Let us know in the comments! #SummerGamesFest #IOInteractive #007FirstLight #GamingCommunity #GameReveal

In the rapidly evolving world of technology, Sam Altman’s call to action for businesses to embrace AI feels more urgent than ever. As an Embedded C Developer, I understand the hesitation many companies face when adopting new technologies, especially with definitions of AGI constantly shifting. But the reality is, those who hesitate risk falling behind in an increasingly competitive landscape. It's not just about keeping up; it's about innovating and transforming the way we approach challenges. Have you or your team taken the leap into AI integration? I’d love to hear your experiences and thoughts on how we can navigate this exciting yet daunting frontier together! #AIAdoption #Innovation #EmbeddedDevelopment

Heydar Aliyev Center | © Olivier Blanchette via Unsplash In contemporary architectural discourse, the building envelope is no longer a passive partition but a dynamic interface capable of interaction, regulation, and adaptation. Amid rising environmental complexity and performance demands, composite materials are emerging as enablers of this transformation. Their potential goes far beyond lightweight strength; composites are redefining what intelligence means in architectural materiality. As the industry pivots toward energy-conscious design, real-time responsiveness, and multi-functional skins, composites provide structural solutions and performative systems. In this context, the envelope becomes a site of intelligence. From Passive Shells to Active Systems For centuries, architectural skins served primarily as barriers, blocking weather, enclosing space, and symbolizing permanence. But the 21st century demands more. We require façades that filter air and light, mediate thermal flux, integrate sensors, and generate power. Traditional materials, limited by monolithic performance and weight, have struggled to adapt. Composites, by contrast, are inherently systemic. They are engineered layers rather than singular substances. Through the integration of fibers and matrices, composites enable architectural envelopes that perform structurally while accommodating embedded systems such as thermal insulation, acoustic control, impact resistance, and photoreactivity. These characteristics make them prime candidates for high-performance envelopes in buildings and infrastructure alike. In the Qatar Integrated Railway Project, composite roofing and FRP façade panels were employed to meet the demands of the harsh desert environment. This solution reduced structural loads and improved thermal performance while ensuring long-term durability in a climate defined by extremes. Performance Layering and Embedded Intelligence What distinguishes composites from conventional materials is their capacity to combine multiple performance layers in one unified system. Instead of applying insulation, waterproofing, and cladding in sequence, a composite panel can consolidate these into a single prefabricated, high-performance element. A compelling example is the Eco Casa in Australia, designed by Ian Wright, which used frameless DuFLEX composite panels. The result was an environmentally conscious home with significantly reduced material waste, enhanced thermal performance, and minimized emissions. These outcomes demonstrate how composites offer design efficiency and ecological responsibility. The capacity for prefabrication and integration is particularly valuable in settings where labor conditions, transportation logistics, or weather exposure make traditional multi-layered construction inefficient or impractical. Composites with a Nervous System: Sensing the Built Environment Recent innovations in smart composites extend these capabilities further. By embedding fiber-optic or piezoresistive sensors into composite assemblies, architects and engineers can develop building skins that sense stress, temperature changes, humidity, or vibration in real-time. These responsive façades can feed data into building management systems, enabling performance optimization or alerting maintenance teams to signs of wear or structural fatigue. This functionality has been successfully explored in transport infrastructure. The King Abdullah High-Speed Rail Station in Saudi Arabia used 27-meter composite sandwich panels to span vast distances with minimal support. The lightweight system reduced the need for extensive reinforcement while enabling thermal and mechanical performance in a climate that demands resilience. Such examples are foundational to a future in which architecture does not merely resist the environment but interprets it. Formal Freedom Meets Functional Responsiveness Guangzhou Opera House | © Scarbor Siu via Unsplash Beyond embedded intelligence, composites also expand formal expression. Their moldability, especially with parametric design and digital fabrication, allows for envelopes that curve, fold, and morph in unattainable ways with conventional rigid materials. The Guangzhou Opera House, designed by Zaha Hadid Architects, is a defining example. Advanced composite assemblies that merged structural demands with formal ambition enabled its seamless curvatures and sharp transitions. These systems supported high-precision details and complex geometries while reducing material weight and installation complexity. This freedom extends to smaller-scale yet equally ambitious projects. At the Tilburg School for VAVO, translucent composite panels embedded with knitted textiles reference local craft while offering thermal performance and design cohesion. Such examples show that intelligence in architecture includes cultural sensitivity as well as technical adaptability. Toward Circular and Regenerative Envelopes The sustainability potential of composites is often overlooked. While early generations relied heavily on fossil-derived materials, newer systems use bio-based resins, natural fibers like flax and basalt, and recyclable matrices that fit into circular design models. Composite panels can now be designed for disassembly, repurposing, or reintegration into new construction, minimizing waste and conserving embodied energy. The Pasarela de Almuñécar in Spain exemplifies this ethos. As the world’s longest carbon-fiber walkway, it replaced heavier materials and extended structural lifespan while reducing maintenance. The project signals how composites can fulfill both technical and ecological ambitions. Efforts to embed digital tracking into panels, such as RFID tags, also support long-term monitoring and facilitate reuse planning. This vision aligns with emerging concepts like material passports, which will play a critical role in lifecycle accountability. Pasarela de Almuñécar in Spain | © Luis Garcia, CC by 3.0 Overcoming Barriers to Adoption Despite the clear advantages, composite adoption in architecture still faces notable hurdles. First is the challenge of integration with legacy materials such as concrete, stone, or steel. Connection detailing requires careful coordination to ensure structural continuity and thermal performance. Second is the perception of cost. While composites may require a higher upfront investment, their lower maintenance demands, improved energy performance, and reduced structural requirements often result in favorable long-term economics. Finally, regulatory frameworks continue to evolve. Building codes have been slow to reflect the unique properties of composites, although this is changing as standardization increases and successful pilot projects proliferate. A Vision for the Future: Architecture as Adaptive Intelligence Composites are not merely substitutes for traditional materials. They represent a paradigm shift in how we understand performance, integration, and the role of material in space-making. As architecture becomes increasingly data-driven, climate-responsive, and energy-conscious, the intelligent envelope will become the norm rather than the exception. Composites make this future feasible by offering structural capability, aesthetic freedom, environmental stewardship, and embedded intelligence within a single engineered solution. From high-speed rail terminals to cultural landmarks, these materials are shaping a new kind of architecture that listens, learns, and evolves. It is no longer sufficient for architecture to stand still. The next generation of buildings must adapt, interact, and perform. Composites make that future tangible. Learn More Explore how composite materials are redefining the building envelope in the construction sector and beyond: Visit Composites.Archi by ArchEyes Team Leave a comment #intelligent #envelope #how #composites #think

One of Elon Musk's austerity operatives discovered that the government had far less glut than he'd banked on — and tellingly, admitting as much publicly got him fired.Sahil Lavingia, a tech founder and erstwhile software engineer with Musk's Department of Government Efficiency, revealed in a recent blog post that he had "gotthe boot" from the agency after telling Fast Company last month that the federal workforce had turned out to be way more efficient than he anticipated.In that initial interview, the Gumroad founder said he was impressed to find that his coworkers at the Department of Veterans Affairs "love their jobs" and worked hard at them — an honest admission that seems to have cost him his job.Just a day after the FastCo interview was published, Lavigina found that his "access" — to the VA's computer networks, presumably — had been "revoked without warning.""My DOGE days," the jilted techie wrote, "were over."Lavigina also revealed in the blog post, which detailed his 50-day tenure at the agency, that he didn't end up getting much done — a slap in the face to the agency's mandate to save taxpayer dollars and abolish the "tyranny of bureaucracy," as Musk put it earlier this year."I didn't make any progress on improving theof veterans' filing disability claims or automating/speeding up claims processing, like I had hoped to when I started," the former DOGE staffer lamented. "I built several prototypes, but was never able to get approval to ship anything to production that would actually improve American lives — while also saving money for the American taxpayer."He also suggested that DOGE staffers were more like middle managers than actual workers."DOGE was more like having McKinsey volunteers embedded in agencies rather than the revolutionary force I'd imagined," the fired engineer recounted in reference to the McKinsey Corporation, the management consulting firm that allegedly fixed bread pricesformerly employed presidential candidate Pete Buttigieg."The public was seeing news reports of mass firings that seemed cruel and heartless, many assuming DOGE was directly responsible," he continued. "In reality, DOGE had no direct authority. The real decisions came from the agency heads appointed by President Trump, who were wise to let DOGE act as the 'fall guy' for unpopular decisions."It sounds a lot like DOGE jobs are the ultimate a waste of time and taxpayer money — though thankfully, Lavigina volunteered to work there for free.Share This Article #doge #fires #operative #after #admits

Modern software engineering faces growing challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, resulting in poor performance in tasks such as code search, RAG, and semantic analysis. These limitations hinder developers’ ability to efficiently locate relevant code snippets, reuse components, and manage large projects effectively. As software systems grow increasingly complex, there is a pressing need for more effective, language-agnostic representations of code that can power reliable and high-quality retrieval and reasoning across a wide range of development tasks.  Mistral AI has introduced Codestral Embed, a specialized embedding model built specifically for code-related tasks. Designed to handle real-world code more effectively than existing solutions, it enables powerful retrieval capabilities across large codebases. What sets it apart is its flexibility—users can adjust embedding dimensions and precision levels to balance performance with storage efficiency. Even at lower dimensions, such as 256 with int8 precision, Codestral Embed reportedly surpasses top models from competitors like OpenAI, Cohere, and Voyage, offering high retrieval quality at a reduced storage cost. Beyond basic retrieval, Codestral Embed supports a wide range of developer-focused applications. These include code completion, explanation, editing, semantic search, and duplicate detection. The model can also help organize and analyze repositories by clustering code based on functionality or structure, eliminating the need for manual supervision. This makes it particularly useful for tasks like understanding architectural patterns, categorizing code, or supporting automated documentation, ultimately helping developers work more efficiently with large and complex codebases.  Codestral Embed is tailored for understanding and retrieving code efficiently, especially in large-scale development environments. It powers retrieval-augmented generation by quickly fetching relevant context for tasks like code completion, editing, and explanation—ideal for use in coding assistants and agent-based tools. Developers can also perform semantic code searches using natural language or code queries to find relevant snippets. Its ability to detect similar or duplicated code helps with reuse, policy enforcement, and cleaning up redundancy. Additionally, it can cluster code by functionality or structure, making it useful for repository analysis, spotting architectural patterns, and enhancing documentation workflows.  Codestral Embed is a specialized embedding model designed to enhance code retrieval and semantic analysis tasks. It surpasses existing models, such as OpenAI’s and Cohere’s, in benchmarks like SWE-Bench Lite and CodeSearchNet. The model offers customizable embedding dimensions and precision levels, allowing users to effectively balance performance and storage needs. Key applications include retrieval-augmented generation, semantic code search, duplicate detection, and code clustering. Available via API at per million tokens, with a 50% discount for batch processing, Codestral Embed supports various output formats and dimensions, catering to diverse development workflows. In conclusion, Codestral Embed offers customizable embedding dimensions and precisions, enabling developers to strike a balance between performance and storage efficiency. Benchmark evaluations indicate that Codestral Embed surpasses existing models like OpenAI’s and Cohere’s in various code-related tasks, including retrieval-augmented generation and semantic code search. Its applications span from identifying duplicate code segments to facilitating semantic clustering for code analytics. Available through Mistral’s API, Codestral Embed provides a flexible and efficient solution for developers seeking advanced code understanding capabilities.  vides valuable insights for the community. Check out the Technical details. 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/Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model InferenceSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and AccuracySana 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 Generation #mistral #introduces #codestral #embed #highperformance

Photo credit: Checkwitch Poiron Architects Discover Montessori School, a project by Checkwitch Poiron Architects, consists of a 10-classroom Montessori farming school on the Agricultural Land Reserve outside of Nanaimo, on Vancouver Island. The client was committed to the idea of sustainability embedded in the Montessori principles of interconnectedness, citizenship and minimalism. Photo credit: Checkwitch Poiron Architects The zoning required that the site be easily returnable to farm use and more specifically precluded the use of a concrete slab on grade. This led Checkwitch Poiron Architects to identify low carbon construction as an achievable sustainable target. The budget was limited, and as such, all design decisions considered the implications on cost, schedule and carbon footprint. This included an analysis of various foundation strategies, including concrete piers and helical piles, prepared by structural engineers Fast and Epp with life cycle analysis by Introba. Photo credit: Checkwitch Poiron Architects The design uses recycled Douglas Fir floorboards as exterior cladding, and interior corridors are lined with Hemlock tiles using waste diverted from a lumber mill. The mechanical consultantused the correlation between low precipitation levels and low school use during summer months to design one of the first rainwater catchment systems in British Columbia to be certified for commercial use. Photo credit: Checkwitch Poiron Architects This project demonstrates how low-carbon and sustainable construction can be achieved, despite budget limitations, by identifying opportunities and the use of practical, cost efficient design. Discover Montessori recently achieved CAGBC Zero Carbon Building Standard Certification, was the Overall Winner of the Vancouver Island Commercial Building Awards, and was awarded the BC Embodied Carbon Award for Large Buildings by the Carbon Leadership Forum. Photo credit: Checkwitch Poiron Architects The project also incorporates water-saving design strategies and collects rainwater for potable water use, as the first project of this kind approved in BC. Photo credit: Checkwitch Poiron Architects Technical Sheet: Location: Nanaimo, BC Client: Discover Montessori Size: 12,492 sf Status: Completed 2023 The post Discover Montessori School achieves CAGBC Zero Carbon certification appeared first on Canadian Architect. #discover #montessori #school #achieves #cagbc

Editor’s note: This blog, originally published on October 28, 2024, has been updated. Financial losses from worldwide credit card transaction fraud are projected to reach more than billion over the next decade. The new NVIDIA AI Blueprint for financial fraud detection can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud. Launched this week at the Money20/20 financial services conference, the blueprint provides a reference example for financial institutions to identify subtle patterns and anomalies in transaction data based on user behavior to improve accuracy and reduce false positives compared with traditional methods. It shows developers how to build a financial fraud detection workflow by providing reference code, deployment tools and a reference architecture. Companies can streamline the migration of their fraud detection workflows from traditional compute to accelerated compute using the NVIDIA AI Enterprise software platform and NVIDIA accelerated computing. The NVIDIA AI Blueprint is available for customers to run on Amazon Web Services, with availability coming soon on Dell Technologies and Hewlett Packard Enterprise. Customers can also use the blueprint through service offerings from NVIDIA partners including Cloudera, EXL, Infosys and SHI International. Businesses embracing comprehensive machine learningtools and strategies can observe up to an estimated 40% improvement in fraud detection accuracy, boosting their ability to identify and stop fraudsters faster and mitigate harm. As such, leading financial organizations like American Express and Capital One have been using AI to build proprietary solutions that mitigate fraud and enhance customer protection. The new AI Blueprint accelerates model training and inference, and demonstrates how these components can be wrapped into a single, easy-to-use software offering, powered by NVIDIA AI. Currently optimized for credit card transaction fraud, the blueprint could be adapted for use cases such as new account fraud, account takeover and money laundering. Using Accelerated Computing and Graph Neural Networks for Fraud Detection Traditional data science pipelines lack the compute acceleration to handle the massive data volumes required for effective fraud detection. ML models like XGBoost are effective for detecting anomalies in individual transactions but fall short when fraud involves complex networks of linked accounts and devices. Helping address these gaps, NVIDIA RAPIDS — part of the NVIDIA CUDA-X collection of microservices, libraries, tools and technologies — enables payment companies to speed up data processing and transform raw data into powerful features at scale. These companies can fuel their AI models and integrate them with graph neural networksto uncover hidden, large-scale fraud patterns by analyzing relationships across different transactions, users and devices. The use of gradient-boosted decision trees — a type of ML algorithm — tapping into libraries such as XGBoost, has long been the standard for fraud detection. The new AI Blueprint for financial fraud detection enhances the XGBoost ML model with NVIDIA CUDA-X Data Science libraries including GNNs to generate embeddings that can be used as additional features to help reduce false positives. The GNN embeddings are fed into XGBoost to create and train a model that can then be orchestrated. In addition, NVIDIA Dynamo-Triton, formerly NVIDIA Triton Inference Server, boosts real-time inferencing while optimizing AI model throughput, latency and utilization. NVIDIA CUDA-X Data Science and Dynamo-Triton are included with NVIDIA AI Enterprise. Leading Financial Services Organizations Adopt AI During a time when many large North American financial institutions are reporting online or mobile fraud losses continue to increase, AI is helping to combat this trend. American Express, which began using AI to fight fraud in 2010, leverages fraud detection algorithms to monitor all customer transactions globally in real time, generating fraud decisions in just milliseconds. Using a combination of advanced algorithms, one of which tapped into the NVIDIA AI platform, American Express enhanced model accuracy, advancing the company’s ability to better fight fraud. European digital bank bunq uses generative AI and large language models to help detect fraud and money laundering. Its AI-powered transaction-monitoring system achieved nearly 100x faster model training speeds with NVIDIA accelerated computing. BNY announced in March 2024 that it became the first major bank to deploy an NVIDIA DGX SuperPOD with DGX H100 systems, which will help build solutions that support fraud detection and other use cases. And now, systems integrators, software vendors and cloud service providers can integrate the new NVIDIA blueprint for fraud detection to boost their financial services applications and help keep customers’ money, identities and digital accounts safe. Explore the NVIDIA AI Blueprint for financial fraud detection and read this NVIDIA Technical Blog on supercharging fraud detection with GNNs. Learn more about AI for fraud detection by visiting the AI Summit at Money20/20, running this week in Amsterdam. See notice regarding software product information. #bring #receipts #new #nvidia #blueprint

Just when I thought premium versions of AI tools would always outperform their free counterparts, the results from the latest tests on Anthropic's Claude models surprised me! The free Claude 4 Sonnet not only held its own but outperformed the $20/month Opus model when it came to generating smarter and safer code. This clearly shows that sometimes, innovation and clever design can outshine even the most expensive options. As an Embedded C Developer, I appreciate tools that can enhance productivity while maintaining safety. It’s a reminder that value isn’t always tied to price, and it’s worth exploring all options. Excited to see how these models evolve! #AI #Coding #EmbeddedSystems #TechTrends #Innovation

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 #apple #about #fix #two #swiftuis