Latest updates from the AI industry
Uber exited Nigeria and Uganda on September 2, 2026, after more than a decade in Africa's largest markets. The move, paired with 3,300 global job cuts, highlights intense competition, currency pressures and thin margins that finally overwhelmed population-driven optimism. Rivals Bolt and inDrive stand ready to fill the gap.
There’s something unusually exciting about opening the ESPHome Starter Kit. This isn’t just another ESP32 development board. It’s the first official ...
In an industry-transforming step, the new AI-native platform unites sourcing, screening, business development, market intelligence and database enrichment.
AI-native event platform introduces autonomous agents, intelligent networking, next-generation ticketing, memberships, and expanded event automation
AppSavvy launched an AI Transformation practice to help no-code businesses scale without full rebuilds, citing its work with Ohana Subleasing Co., which expects over $60 million in payment volume in 2026.
Most tend to associate the name Nvidia with making GPUs, but the tech giant has its hands in many other sectors, including owning these other companies.
The Europe blind bolts market size was valued at $214 million in 2025 and is projected to grow from $230.91 million in 2026 to reach $424.24 million by 2034, growing at a CAGR of 7.9% during the forecast period 2026–2034.
Wildcat Resources reports further high-grade lithium drilling results across its flagship WA projects. The post Wildcat Resources delivers more high-grade lithium drill results appeared first on The Motley Fool Australia .
The global real estate software market size was valued at USD 12.8 billion in 2025 and is projected to grow from USD 14.3 billion in 2026 to USD 32.0 billion by 2033, at a CAGR of 12.2% from 2026 to 2033. This growth is attributed to the convenience it brings to the table. However, when software is outdated it’s less likely to bring that level [...] The post Real Estate Software Modernization: A Guide to Modernizing Legacy Property Systems appeared first on MindInventory .
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Vadzo's Bolt-1335CRO is a 13MP AR1335 OIS MIPI Camera built on the onsemi AR1335 sensor delivering optical image stabilization and voice coil motor autofocus in a rolling shutter MIPI CSI-2 module for embedded AI, robotics, UAV, drone and aerial inspection platforms where vibration resistant capture and low latency MIPI delivery are simultaneous design requirements. As a compact AR1335 4K MIPI Camera, it brings lens level stabilization and continuous focus tracking to board level embedded
Canva on Tuesday launched Canva Code 2.0 , a major upgrade to its AI-powered coding tool that lets users build interactive websites, apps, and experiences using plain-language prompts — and then edit the results as easily as tweaking a Canva presentation. The feature is now available to all of the company's more than 265 million monthly users across every pricing tier, including free accounts. The move is Canva's most aggressive push yet into the fast-growing "vibe coding" market, a category that barely existed 18 months ago but has already minted billion-dollar startups and reshaped how non-developers think about building software. But where rivals like Lovable , Replit , and Bolt.new have focused primarily on generating functional code from text prompts, Canva is making a different bet: that the real bottleneck isn't creating the code — it's making the output actually look good. "Most vibe coding tools stop at functional — generating output that looks the same as everyone else's," Canva states in its announcement. "You might get a working prototype, but making it actually look like yours requires a complex editing surface, a separate design tool, a developer, or endless back-and-forth prompting that rarely lands where you want it.” Danny Wu, Canva's Head of AI Products, framed the product's positioning in stark terms during an exclusive interview with VentureBeat ahead of the launch. "We are deliberately targeting non-technical users," Wu said. "Canva Code isn't a tool we're building for developers. What we're trying to do is bring the power of AI coding — and really lightweight coding — into the Canva platform, while answering our users' requests for more interactivity, more customization, and more flexibility, from websites to interactive presentations." Canva Code 2.0 brings drag-and-drop editing, HTML import, and 75% faster generation to AI-built websites The update introduces several capabilities designed to collapse the distance between generating code and publishing a polished interactive experience. Users can now create Canva Code projects directly inside other design projects — embedding interactive elements within a whiteboard, presentation deck, or standalone page. Canva has also added more than 50 new templates specifically designed for interactive designs, along with the ability to import raw HTML files from other AI coding tools and convert them into editable Canva designs. The performance improvements are significant. Canva says it has reduced average code generation time by 75 percent and cut the median time from initial prompt to a published site by 30 percent. The company also reports that integrating Canva Code into the broader Canva editor — allowing users to treat coded outputs like any other design element — has increased active Code users by 25 percent. Perhaps the most distinctive feature is the editing experience itself. Unlike most AI coding platforms, which require users to re-prompt or modify raw code to make visual changes, Canva Code 2.0 lets users click directly into generated elements to change text, drag and drop images from Canva's built-in library of over 120 million templates and assets, update colors and fonts through a familiar toolbar, or select a specific element and refine it through conversational AI. Every output is fully interactive and automatically adapts to different screen sizes, with a built-in mobile preview. Wu demonstrated the drag-and-drop editing during the interview, showing how a generated conference website could be modified in real time — swapping in photos, changing fonts to branded alternatives, and editing text directly on the canvas. "The key differentiator with Canva Code is the editability and the kindness of the outputs it generates," he said, though he noted one current limitation: "We don't support moving elements around. You still have to re-prompt for that." How Canva plans to compete with Lovable, Replit, and Bolt in the booming AI app builder market Canva's entry into vibe coding at this scale arrives at a pivotal moment for the category. According to market research published by Luminix AI in May 2026 , the vibe coding and AI app builder market has reached an estimated $4.7 billion in 2026, with projections pointing toward $12.3 billion by 2027 at roughly 38 percent compound annual growth. The research also estimates that AI-generated code now comprises approximately 41 percent of all code written globally — a figure that would have seemed inconceivable even two years ago. The competitive landscape has grown ferocious. Lovable , which focuses on conversational, design-forward app generation for non-technical founders, has achieved what may be the fastest revenue ramp in the category's history — reportedly reaching approximately $400 million in annual recurring revenue by early 2026, according to Luminix's analysis. Replit , which transformed its browser-based IDE into a full vibe-coding engine through successive AI agent releases, has tripled its valuation to $9 billion and is targeting $1 billion in run-rate revenue by the end of 2026, per the same report. Bolt.new , which runs a full Node.js environment entirely in the browser, scaled from $4 million to $40 million in ARR within months of launching. And then there is Canva, which brings something none of those platforms possess: a quarter-billion-user design ecosystem where brands, teams, and individuals already store their visual identities, collaborate on projects, and publish content. Wu positioned Canva Code not as a direct competitor to these developer-focused tools but as something that fills a gap none of them have addressed. "A lot of the requests that we have been getting and the usage we're seeing is actually with using Canva Code not necessarily as just one artifact, but as part of an overall design, the visual communication they're trying to tell," Wu said. "Like when you have a sales deck, you're able to add a calculator, you're able to add a visualizer of what exactly your product does. That's something where an interactive slide can be worth a thousand pictures." Why Canva's HTML import feature could turn it into a 'finishing layer' for every AI coding tool One of the most strategically interesting features in Canva Code 2.0 is its HTML import capability, which allows users to take code generated by any AI tool — including ChatGPT , Claude , Lovable , or Bolt — and bring it into Canva as a fully editable design. The implication is unmistakable: Canva is positioning itself as the place where AI-generated code gets its finishing touches, regardless of where it was originally created. When asked directly whether this amounts to positioning Canva as a "finishing layer on top of vibe coding," Wu offered a diplomatic but revealing response. "It's really a continuation of our goal to make all design as easy as possible," he said. "We've supported importing PDFs and translating them into docs, importing PowerPoint files — so in one way, it's an expansion of that. But in another way, it's really just listening to what our users want and making Canva both the most useful and the most compatible platform.” He paused, then added: "It's not that we're deliberately positioning ourselves as a specific layer, say like a finishing layer after vibe coding. We just really want to make our platform the most accessible and the most pluggable." That language — "most pluggable" — suggests a platform strategy that doesn't require Canva to win the AI code generation race outright. If Canva becomes the default destination for making AI-generated code look professional and on-brand, it captures value from the entire category regardless of which code generation engine users prefer. The strategy also echoes the broader import capabilities that already allow Canva to ingest PowerPoint decks and PDFs from competing platforms, gradually pulling users deeper into the Canva ecosystem without demanding they abandon existing workflows. What Canva Code can build — and where Danny Wu says it hits its limits Wu was notably candid about the product's boundaries — a refreshing departure from the typical Silicon Valley product launch. "Canva Code is great for anything that works as a front-end app, and it's especially good when you want to leverage data, data submissions, and interactivity at small to medium scale," he said. "I'll be honest about the limitations. Canva Code is probably not going to be suitable if you're trying to build a website with complex backends, or if you're handling hundreds of thousands of visitors per day." This candor effectively draws a line between Canva Code and the more ambitious platforms in the space. While Lovable and Replit are pushing toward full-stack application development — complete with databases, authentication, and production-grade hosting — Canva is deliberately limiting its scope to interactive front-end experiences at modest scale. The question is whether that's a strategic weakness or a disciplined focus. For the teachers, small business owners, and marketing teams that make up the bulk of Canva's user base, complex backends and high-traffic scalability are irrelevant concerns. What matters is whether they can create an interactive event page, a property listing website, or a classroom hub that looks professional and works on mobile — without hiring a developer or learning a new tool. When asked about the AI models powering Canva Code , Wu confirmed the company uses a combination of proprietary and third-party models, including those from OpenAI and Anthropic, but declined to specify the exact mix. "We don't share the exact mix, and it does change over time," he said. "We also route differently depending on what you're asking for and which model family we think is best for handling certain requests." Canva's AI acquisition spree — from Affinity to Leonardo.ai — now powers its vibe coding push Canva's broader AI infrastructure has been significantly bolstered by an acquisition strategy that has accelerated over the past two years. In March 2024, the company acquired Affinity , the British creative software suite popular with Mac users, in a deal that Bloomberg reported was valued at " several hundred million pounds ." Canva at the time positioned the deal as a way to compete with Adobe's flagship products — Illustrator, Photoshop, and InDesign — by gaining ownership of Affinity's Designer, Photo, and Publisher applications. Just four months later, Canva acquired Leonardo.ai , an Australian generative AI startup with over 19 million registered users and more than a billion images generated. Canva co-founder Cameron Adams said at the time that Leonardo.ai's technology would be integrated into Canva's Magic Studio generative AI suite. Together with these acquisitions, Canva Code is the company's attempt to layer interactive, code-driven capabilities on top of a visual design platform that has already been enhanced by professional-grade design tools and generative AI models. The company reports over 32 billion uses of its AI products to date — a staggering figure that underscores how deeply AI is now woven into everyday Canva workflows, even for users who may not think of themselves as using artificial intelligence. Six million sites published, but Canva's retention data remains an open question Canva's announcement highlights an impressive traction metric: users have created and published more than six million websites using Canva Code since the feature was first introduced a year ago. But the number deserves scrutiny. Wu clarified in the interview that the six million figure represents published websites over the past year — meaning sites that were either made public or shared via password-protected or private links. "They may have published publicly, or behind a password, or as a private link. But that's the number of published websites," he said. When asked about active retention — how many of those sites are still live and being maintained — Wu acknowledged the gap in his data. This is a meaningful distinction. In the vibe coding market, raw creation numbers can be misleading because the barrier to generating a site is so low. The more telling metric — which Canva does not yet provide — would be how many of those six million sites receive regular traffic or have been updated after initial publication. The early use cases, however, suggest genuine utility beyond novelty. Educators and school administrators are using Canva Code to build classroom hubs, with one teacher creating bespoke webpages for each of their classrooms to keep students and parents updated on announcements. Small businesses, like Alt Marketing School, have built mini apps for fundraising training and interactive roadmaps for their members. For World Book Day, 50 readers created educational games across different subjects, complete with pedagogical guides for classroom use. Canva Code pricing, data governance, and what enterprise customers need to know Canva Code 2.0 is available across all of Canva's pricing tiers, including its free plan — a notable decision given that competitors like Lovable, Bolt, and Replit reserve their most capable features for paid subscribers. "As you go from, say, free to pro to business to enterprise, you would get more AI credits and be able to have higher usage of Canva Code," Wu said. "But it is available and it is usable — even free Canva accounts as well as education and not-for-profit accounts." This credit-based approach mirrors the pricing evolution happening across the entire vibe coding category, where platforms have converged on token or credit systems that meter AI generation capacity rather than gating features behind subscription tiers. The difference is that Canva's free tier serves as an acquisition funnel for a much larger design platform, not just for the coding feature itself. For the institutional customers Canva increasingly courts — school districts, real estate brokerages, enterprise marketing teams — data governance is a threshold concern. Wu addressed this directly. "All users and customers have full control over how their data is used," he said. "They can choose whether their prompts and data are used for AI training in the settings. For businesses and enterprises, team admins can manage this at the organizational level and guarantee that their inputs, content, and outputs won't be used for training." This opt-out approach reflects a lesson the broader industry has learned the hard way. As The Verge reported when Canva acquired Leonardo.ai, Adobe suffered significant backlash over a policy update regarding user data and AI model training — a controversy Canva appears keen to avoid. Canva's long-term vision: closing the gap between imagination and what non-technical users can actually build When asked where Canva Code fits into the company's long-term trajectory — and whether Canva is building toward a full-stack app development platform — Wu steered the conversation back to the company's core audience. "A huge part of it is reducing the gap between your imagination and what's possible, especially for everyday users — people who don't have a lot of time," he said. "They don't have time to figure out deploys or MCPs or APIs. They just want to design more interactive and more dynamic communication." He pointed to the rapid improvement in AI model capabilities as a key accelerant. "The kind of things you can create today in one shot — like a 3D visualization of a solar system — you really couldn't have trusted the output a year ago. But today, you have a really high success rate." Whether Canva Code becomes a durable product category or a feature that gets absorbed into the platform's broader AI workflow will depend on how quickly the company can close the gap between its current front-end focus and the full-stack capabilities that increasingly define the competition. Lovable is shipping Supabase-backed apps with authentication and databases built in. Replit's agents can execute autonomous long-running builds. Bolt.new runs entire Node.js environments in a browser tab. These are fundamentally different ambitions than making a conference landing page look good. But Canva has never won by matching the technical depth of its competitors. A decade ago, it didn't try to out-feature Adobe — it made design accessible to the 99 percent of people who would never open Photoshop. Now, in a vibe coding market where every tool can generate a working prototype from a prompt, Canva is making the same wager it made in 2012: that for most people, the hardest part was never the building. It was making it look like it came from you.
New no-code and pro-code capabilities enable customers and partners to build Fusion Agentic Applications backed by specialized agent teams, Fusion business objects, workflows, approvals, governance, and auditabilityWith the new AI Studio Skill, developers can now use familiar tools such as VS Code...
Oracle launches AI agent builder tools within Fusion Cloud Applications
Oracle launches AI agent builder tools within Fusion Cloud Applications
Oracle launches AI agent builder tools within Fusion Cloud Applications
Eighty-three percent of companies cite data quality as their top AI challenge, leaving most unready to scale agentic systems. Leaders must fix data and governance first.
Read helpful tech articles about IT technology and trends, custom mobile & web app development on the blog stfalcon.com
Native desktop application brings multi-repo Git management, terminals, worktrees, and AI-assisted development into one repository-aware workspace Glint Software announced the public beta of Glint (glint.dev), a native desktop workspace that brings multi-repo Git management, native terminals, and agentic AI coding into a single application. Instead of stitching together a code editor, multiple chat windows, and [...] The post Glint Opens Public Beta of Its AI-Native Git Workspace – Agentic Coding, Worktrees, and Terminals in One App appeared first on AiThority .
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The most expensive resource in any small business isn’t capital—it’s time. And increasingly, that time is being swallowed up by something owners never set out to manage: payments. The last thing business owners want to do is devote more energy to managing payment processes. Many small businesses have discovered business management software with embedded payment [...] The post What Embedded Payments Can Solve for Small Businesses appeared first on PaymentsJournal .
Enterprise AI in regulated industries should borrow proven safety practices from aviation and nuclear engineering rather than relying on new governance frameworks. Explainability, rigorous configuration management, continuous monitoring, human oversight, and least-privilege architectures provide a more trustworthy foundation for deploying AI in safety-critical environments.
The intravascular catheterization market is on track for significant expansion, driven by technological advancements and increasing demand for less invasive procedures. This sector is evolving rapidly as healthcare providers seek safer, more efficient vascular access solutions. Let's explore the projected
The North America blind bolts market size was valued at $268 million in 2025 and is projected to grow from $287 million in 2026 to reach $528 million by 2034, growing at a CAGR of 7.9% during the forecast period 2026–2034.
AI agents go beyond chatbots: they perceive a task, reason through clinical and payer rules, take an action inside the EHR or payer system, then verify the result. The best fits in healthcare operations are high-volume, rule-governed tasks like eligibility checks, scheduling, and prior authorization, but autonomy has to match risk, not model capability. Medical coding is the hardest test case, since every AI-suggested code needs a traceable link back to documentation for audit purposes. A production-grade agent needs five layers: reasoning, tools, EHR/FHIR integration, a deterministic guardrail layer sitting outside the model, and an audit trail, plus governance that defines autonomy boundaries, explainability, and override paths before launch. Start with one narrow task, prove accuracy and auditability, then expand.
Frontier Lithium Inc. (CVE:FL – Get Free Report)’s stock price hit a new 52-week low on Tuesday . The company traded as low as C$0.43 and last traded at C$0.44, with a volume of 254072 shares. The stock had previously closed at C$0.45. Frontier Lithium Stock Performance The stock’s 50-day moving average price is C$0.54 [...]
Frontier Lithium Inc. (CVE:FL – Get Free Report) reached a new 52-week low during trading on Tuesday . The stock traded as low as C$0.43 and last traded at C$0.44, with a volume of 254072 shares traded. The stock had previously closed at C$0.45. Frontier Lithium Stock Down 2.2% The firm’s 50 day simple moving [...]
In the fast-moving world of cryptocurrency, finding the right opportunity at the right time can make all the difference for investors looking to build wealth in 2026. As Bitcoin continues to dominate headlines and established altcoins mature, many are turning
If completed at the current terms, the round will mark a sharp re-rating for the company less than a year after it raised $15 million from Salesforce Ventures, Accel and Together Fund at a valuation of around $60 million. The new capital is expected to be used to deepen Rocket’s AI capabilities, expand product development and grow its global go-to-market presence, they said.
Asia-Pacific healthcare faces compounding structural pressures: the region holds 60% of the world's population but accounts for only 22% of global health spending, with doctor-to-patient ratios well below WHO minimums.
In this article, we will list the 5 Best 52-week Low Technology Stocks To Buy According To Analysts. Please visit the 10 Best 52-week Low Technology Stocks to Buy According to Analysts if you’d like to see an extended list and how we came up with the list of best 52-week tech stocks. 5. Wise [...]
Every enterprise is hard at work building a workforce made of software. Almost none of them know how to manage it. How do you govern, audit, measure and coordinate employees that happen to be artificial intelligence agents? Most companies don’t. The problem is too new. So Karen Webster put the question to Charbel Safadi, [...] The post Zafin’s CEO Wants to Build the Control Tower for Enterprise AI appeared first on PYMNTS.com .
H3 Zoom, a Singapore‐based deeptech startup building AI‐driven inspection and asset‐intelligence software, has closed an oversubscribed Series A round of US$3.6 million. The financing was led by JRE Ventures, the corporate venture arm of Japan’s East Japan Railway Company, with participation from SGInnovate, M7 Holdings, Moringa Ventures, and Lotus One Investment, besides an AngelCentral member [...] The post From façades to railways: H3 Zoom raises US$3.6M to commercialise AI inspection tech across SEA, Japan appeared first on e27 .
"The best brands treat athletes as genuine coconspirators in the project."
AI Acquisition was built on the belief that AI agents are the new operating layer for businesses, and this belief sits at the center of a broader shift unfolding across the artificial intelligence market. Businesses started adopting AI primarily through applications that assisted users with specific tasks, but now attention is turning toward AI agents designed not merely to assist with work but to perform it. The post AI Acquisition building infra for AI agent economy appeared first on Digital Journal .
For the first time, any brokerage on Rechat can build their own apps on the operating system built for scale.
Ari Kaplan recently attended RelFest London 2026, and he recently spoke with the following leaders at Relativity. Chris Brown, chief product officer Georgia Foster, managing...