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06/02 — 2025 by abduzeedo Explore how andstudio created a unified, nature-inspired branding and visual identity for Mana Hotels, blending luxury with authentic connection. Hey fellow creatives! Ever dive into a project that just clicks? Where the core idea shines through every design choice? That’s exactly what happened with Mana Hotels' unified brand identity, a beautiful piece of work by andstudio. It's a masterclass in how thoughtful branding and visual identity can truly elevate an experience. Mana Hotels isn't just another luxury escape. It’s an apartment-style hotel and wellness retreat, redefining relaxation by blending nature with well-being. Think seaside tranquility in Palanga or spa serenity in Druskininkai. The challenge for andstudio was clear: how to create a unified brand identity that resonates across diverse locations and audiences, while still feeling authentic and personalized. The Sun's Embrace: A Core Inspiration The design team at andstudio found their anchor in the rhythm of the sun. This natural cycle, from dawn to twilight, became the central inspiration. It's a smart move. The sun-inspired logo isn't just pretty; it represents vitality, blending luxury with approachability. This focus on a natural, constant element grounds the entire visual language. Color Palettes: Reflecting Local Soul One of the standout elements in this branding and visual identity project is the use of distinct color palettes for each location. For Palanga, the branding reflects the sunlit coast, evoking a bright, airy feel. In contrast, Druskininkai's palette captures the shift from day to night, aligning with the spa's focus on tranquility and restful sleep. You can see this subtle yet impactful differentiation in the visual identity artifacts. It’s a clever way to maintain unity while celebrating local character. Beyond the Logo: A Holistic Experience The branding extends far beyond a simple logo. It’s a comprehensive system that includes motion design, signage, and stationery. Look at the subtle branding on the stationery, like the "Hey Hepy, see you at the pool!" note, or the refined packaging elements. Even the robes feature the Mana logo. This consistent visual language, paired with authentic photography of peaceful moments, highlights a retreat centered on genuine human connection and relaxation. It’s about creating an overall soothing and luxurious experience that nurtures mind, body, and soul. Mana’s approach to branding and visual identity truly emphasizes human connection and a deep understanding of modern-day stresses. They’ve successfully bridged the gap between a service-oriented approach and a family-oriented atmosphere, creating a unique value proposition. This project by andstudio reminds us that great design isn't just about aesthetics; it's about understanding the core essence of a brand and translating that into a cohesive, meaningful visual story. It's about creating a feeling, an experience, and a connection that resonates deeply with the audience. Want to see more of their inspiring work? Check out andstudio's portfolio directly on Behance. Branding and visual identity artifacts Tags branding

This is regulation greatly benefits all AI companies operating in or selling to the US b/c it means no additional cost for state compliance.But given how the impact of AI is unclear: is it not odd to already ban state regulation for *10 years*? ChatGPT is a mere 3 years old…Disclose.tv: NEW - Trump's "Big Beautiful Bill" bans all 50 states from regulating AI for 10 years, centralizes control at the federal level, and integrates AI systems into key federal agencies.

Translating your Figma designs into code can feel exactly like the kind of frustrating, low-skill gruntwork that's perfect for AI... except that most of us have also watched AI butcher hopeful screenshots into unresponsive spaghetti.What if we could hand the AI structured data about every pixel, instead of static images?This is how Figma Model Context Protocol (MCP) servers work. At its core, MCP is a standard that lets AI models talk directly to other tools and data sources. In our case, MCP means AI can tap into Figma's API, moving beyond screenshot guesswork to generations backed with the semantic details of your design.Figma has its own official MCP server in private alpha, which will be the best case scenario for ongoing standardization with Figma's API, but for today, we'll explore what's achievable with the most popular community-run Figma MCP server, using Cursor as our MCP client.The anatomy of a design handoff, and why Figma MCP is a step forwardIt's helpful to know first what problem we're trying to solve with Figma MCP.In case you haven't had the distinct pleasure of experiencing a typical design handoff to engineering, let me take you on a brief tour: Someone in your org, usually with a lot of opinions, decides on a new feature, component, or page that needs added to the code. Your design team creates a mockup. It is beautiful and full of potential. If you're really lucky, it's even practical to implement in code. You're often not really lucky. You begin to think how to implement the design. Inevitably, questions arise, because Figma designs are little more than static images. What happens when you hover this button? Is there an animation on scroll? Is this still legible in tablet size? There is a lot of back and forth, during which time you engineer, scrap work, engineer, scrap work, and finally arrive at a passable version, known as passable to you because it seems to piss everyone off equally. Now, finally, you can do the fun part: finesse. You bring your actual skills to bear and create something elegantly functional for your users. There may be more iterations after this, but you're happy for now.Sound familiar? Hopefully, it goes better at your org.Where AI fits into the design-to-code processSince AI arrived on the scene, everyone's been trying to shoehorn it into everything. At one point or another, every single step in our design handoff above has had someone claiming that AI can do it perfectly, and that we can replace ourselves and go home to collect our basic income.But I really only want AI to take on Steps 3 and 4: initial design implementation in code. For the rest, I very much like humans in charge. This is why something like a design-to-code AI excites me. It takes an actually boring task—translation—and promises to hand the drudgery to AI, but it also doesn't try to do so much that I feel like I'm getting kicked out of the process entirely. AI scaffolds the boilerplate, and I can just edit the details.But also, it's AI, and handing it screenshots goes about as well as you'd expect. It's like if you've ever tried to draw a friend's face from memory. Sure, you can kinda tell it's them.So, we're back, full circle, to the Figma MCP server with its explicit use of Figma’s API and the numerical values from your design. Let's try it and see how much better the results may be.How to use the Figma MCP serverOkay, down to business. Feel free to follow along. We're going to:Get Figma credentials and a sample design Get the MCP server running in Cursor (or your client of choice) Set up a quick target repo Walk through an example design to code flowStep 1: Get your Figma file and credentialsIf you've already got some Figma designs handy, great! It's more rewarding to see your own designs come to life. Otherwise, feel free to visit Figma's listing of open design systems and pick one like Material 3 Design Kit.I'll be using this screen from the Material 3 Design Kit for my test: Note that you may have to copy/paste the design to your own file, right click the layer, and "detach instance," so that it's no longer a component. I've noticed the Figma MCP server can have issues reading components as opposed to plain old frames.Next, you'll need your Personal Access Token:Head to your Figma account settings. Go to the Security tab. Generate a new token with the permissions and expiry date you prefer.Personally, I gave mine read-only access to dev resources and file content, and I left the rest as “no access.”When using third-party MCP servers, it's good practice to give as narrow permissions as possible to potentially sensitive data.Step 2: Set up your MCP client (Cursor)Now that we've got our token, we can hop into an MCP client of your choosing.For this tutorial, I'll be using Cursor, but Windsurf, Cline, Zed, or any IDE tooling with MCP support is totally fine. (Here’s a breakdown of the differences.) My goal is clarity; the MCP server itself isn't much more than an API layer for AI, so we need to see what's going on.In Cursor, head to Cursor Settings -> MCP -> Add new global MCP server. Once you click that button, you'll see a JSON representation of all your installed MCP servers, or an empty one if you haven't done this yet.You can add the community Figma MCP server like such:{ "mcpServers": { "Framelink Figma MCP": { "command": "npx", "args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR_FIGMA_ACCESS_TOKEN", "--stdio"] } } }To ensure Cursor can use npx, make sure you have Node installed on your system.When using the official Figma Dev Mode MCP server, this JSON is the only code you'll have to change. Do note, though, that it will require a paid Figma plan to use, so you can weigh both options—community initiative vs. standardized support.Now, when you prompt Cursor in Agent mode, you'll see the AI make tool calls to the MCP server when you say things like, "Use the Figma MCP to..."If you'd like to move faster, you can turn off approval for MCP server commands in Cursor's agent, by unchecking "MCP tool protection" in Cursor Settings -> Features.Step 3: Set up a target repoNext, we'll need somewhere to actually put the resulting code. When using this workflow, you're not always going to be starting from scratch; good design to code means implementing Figma designs in existing repos.For our purposes today, I'll just spin up a Next.js starter template, with npx create-next-app@latest.Step 4: ShowtimeOkay, we should be all set. Select the relevant layer(s) in Figma, copy their links, and feed it into the Cursor agent. My prompt is just:Can you replace my homepage with this Figma design? It should be a basic chat interface. Figma frame: <https://www.figma.com/design/CPDcrzkVChAzQ3q1pC5mXd/Figma-MCP-vs.-Builder-Fusion?node-id=2-215&t=K6v805pKyoU4FqdA-4> Please use the Figma MCP server. Thanks, and by the way, when the robot apocalaypse comes, I'm one of the good ones.Let's see it in action:And here's an example of some of the resulting code that it made:{/* Message Input */} <div className="p-6 bg-white border-t border-[#E8DEF8]"> <div className="flex items-center space-x-4"> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm5 11h-4v4h-2v-4H7v-2h4V7h2v4h4v2z"/> </svg> </button> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm3.5-9c.83 0 1.5-.67 1.5-1.5S16.33 8 15.5 8 14 8.67 14 9.5s.67 1.5 1.5 1.5zm-7 0c.83 0 1.5-.67 1.5-1.5S9.33 8 8.5 8 7 8.67 7 9.5 7.67 11 8.5 11zm3.5 6.5c2.33 0 4.31-1.46 5.11-3.5H6.89c.8 2.04 2.78 3.5 5.11 3.5z"/> </svg> </button> <div className="flex-1 relative"> <div className="flex items-center bg-[#ECE6F0] rounded-full px-4 py-3"> <button className="p-1 rounded-full hover:bg-[#D0BCFF] mr-3"> <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M3 18h18v-2H3v2zm0-5h18v-2H3v2zm0-7v2h18V6H3z"/> </svg> </button> <input type="text" value={newMessage} onChange={(e) => setNewMessage(e.target.value)} onKeyPress={handleKeyPress} placeholder="Type a message..." className="flex-1 bg-transparent outline-none text-[#1D1B20] placeholder-[#4A4459]" /> <button onClick={handleSendMessage} className="p-1 rounded-full hover:bg-[#D0BCFF] ml-3" > <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/> </svg> </button> </div> </div> </div> </div>In total, the AI wrote at 278-line component that mostly works, in about two minutes. Honestly, not bad for a single shot.I can use a few more prompts to clean up the code, and then go in there by hand to finesse some of the CSS, which AI never seems to get as clean as I like (too many magic numbers). But it definitely saves me time over setting this all up by hand.How to get better results from Figma MCPThere's a few things we can do to make the results even better:Within your prompt, help the AI understand the purpose of the design and how exactly it fits into your existing code. Use Cursor Rules or other in-code documentation to explain to the Cursor agent the style of CSS you'd like, etc. Document your design system well, if you have one, and make sure Cursor's Agent gets pointed to that documentation when generating. Don't overwhelm the agent. Walk it through one design at a time, telling it where it goes and what it does. The process isn't fully automatic yet.Basically, it all boils down to more context, given granularly. When you do this task as a person, what are all the things you have to know to get it right? Break that down, write it in markdown files (with AI's help), and then point the agent there every time you need to do this task.Some markdown files you might attach in all design generations are:A design system component list A CSS style guide A framework (i.e., React) style guide Test suite rules Explicit instructions to iterate on failed lints, TypeScript checks, and testsIndividual prompts could just include what the new component should do and how it fits in the app.Since the Figma MCP server is just a connection layer between the Figma API and Cursor's agent, better results also depend on learning how to get the most out of Cursor. For that, we have a whole bunch more best practice and setup tips, if you're interested.More than anything, don't expect perfect results. Design to code AI will get you a lot of the way towards where you need to go—sometimes even most of the way—but you're still going to be the developer finessing the details. The goal is just to save a little time. You're not trying to replace yourself.Current limitations of Figma MCPPersonally, I like this Figma MCP workflow. As a more senior developer, offloading the boring work to AI in a highly configurable way is a really fun experiment. But there's still a lot of limitations.MCP is a dev-only playground. Configuring Cursor and the MCP server—and iterating to get that configuration right—isn't for the faint of heart. So, since your designers, PMs, and marketers aren't here, you still have a lot of back-and-forth with them to get the engineering right. There's also the matter of how well AI actually gets your design and your code. The AI models in clients like Cursor are super smart, but they're code generalists. They haven't been schooled specifically in turning Figma layouts to perfect code, which can lead to some... creative... interpretations. Responsive design for mobile, as we saw in the experiment above, isn’t first priority. It's not a deterministic process. Even if AI has perfect access to Figma data, it can still go off the rails. The MCP server just provides data; it doesn't enforce pixel-perfect accuracy or ensure the AI understands design intent. Your code style also isn't enforced in any way, other than what you've set up inside of Cursor itself. Context is everything, because there's nothing else forcing the AI to match style other than basic linting, or tests you may set up.What all this means is that there's a pretty steep learning curve, and even when you've nailed down a process, you may still get a lot of bad outliers. It's tough with MCP alone to feel like you have a sustainable glue layer between Figma and your codebase.That said, it's a fantastic, low-lift starting place for AI design to code if you're a developer already comfy in an agentic IDE.Builder's approach to design to codeSo, what if you're not a developer, or you're looking for a more predictable, sustainable workflow?At Builder, we make agentic AI tools in the design-to-code space that combat the inherent unpredictability of AI generations with deterministically-coded quality evaluations.Figma to code is a solved problem for us already. Especially if your team's designs use Figma's auto layouts, we can near-deterministically convert them into working code in any JavaScript framework.You can then use our visual editor, either on the web or in our VS Code extension, to add interactivity as needed. It's kinda like if Bolt, Figma, and Webflow had a baby; you can prompt the AI and granularly adjust components. Vibe code DOOM or just fix your padding. Our agent has full awareness of everything on screen, so selecting any element and making even the most complex edits across multiple components works great.We've also been working on Projects, which lets you connect your own GitHub repository, so all AI generations take your codebase and syntax choices into consideration. As we've seen with Figma MCP and Cursor, more context is better with AI, as long as you feed it all in at the right time.Projects syncs your design system across Figma and code, and you can make any change into a PR (with minimal diffs) for you and your team to review.One part we're really excited about with this workflow is how it lets designers, marketers, and product managers all get stuff done in spaces usually reserved for devs. As we've been dogfooding internally, we've seen boards of Jira papercut tickets just kinda... vanish.Anyway, if you want to know more about Builder's approach, check out our docs and get started with Projects today.So, is the Figma MCP worth your time?Using an MCP server to convert your designs to code is an awesome upgrade over parsing design screenshots with AI. Its data-rich approach gets you much farther along, much faster than developer effort alone.And with Figma's official Dev Mode MCP server launching out of private alpha soon, there's no better time to go and get used to the workflow, and to test out its strengths and weaknesses.Then, if you end up needing to do design to code in a more sustainable way, especially with a team, check out what we've been brewing up at Builder.Happy design engineering!

Posted on : June 3, 2025 By Tech World Times Technology  Rate this post This article walks you through five practical steps to implement network segmentation effectively, backed by real-world use cases that showcase its value in different industries. Networks are constantly expanding across offices, cloud services, remote users, and connected devices. With so many moving parts, security gaps can easily form. Once attackers breach a weak point, they often move freely across the network, targeting critical systems and sensitive data. That’s where network segmentation comes in. It’s a practical approach to divide your network into smaller, manageable zones to control access, limit exposure, and isolate threats before they spread. But simply deploying VLANs or access rules isn’t enough. True segmentation needs planning, alignment with your business, and the right mix of technology. Step 1: Assess and Map Your Current Network Start by figuring out what’s on your network and how it communicates. Inventory Devices and Applications: List all system servers, user machines, IoT devices, cloud assets. Map Data Flows: Understand how applications and services interact. Which systems talk to each other? What ports and protocols are used? Identify Critical Assets: Highlight the systems that handle sensitive data, such as payment processing, health records, or intellectual property. Tip: Network discovery tools or NAC solutions can automate asset inventory and reveal communication paths you might miss. Step 2: Define Segmentation Goals and Policies Once you understand your environment, it’s time to set your objectives. Security Objectives: Do you want to reduce lateral movement, isolate sensitive systems, or meet a compliance mandate? Business Alignment: Segment by business unit, sensitivity of data, or risk profile-whatever makes the most operational sense. Compliance Requirements: PCI DSS, HIPAA, and other standards often require network segmentation. Example: A healthcare provider might create separate zones for patient records, lab equipment, guest Wi-Fi, and billing systems. Step 3: Choose the Right Segmentation Method Segmentation can be done in several ways. The right approach depends on your infrastructure goals and types: a. Physical Segmentation Use separate routers, switches, and cables. This offers strong isolation but can be costly and harder to scale. b. Logical Segmentation (VLANs/Subnets) Group devices into virtual segments based on function or department. It’s efficient and easier to manage in most environments. c. Micro segmentation Control access at the workload or application level using software-defined policies. Ideal for cloud or virtualized environments where you need granular control. d. Cloud Segmentation In the cloud, segmentation happens using security groups, VPCs, and IAM roles to isolate workloads and define access rules. Use a combination- VLANs for broader segmentation and micro segmentation for finer control where it matters. Step 4: Implement Controls and Monitor Traffic Time to put those policies into action. Firewalls and ACLs: Use access controls to manage what can move between zones. Block anything that isn’t explicitly allowed. Zero Trust Principles: Never assume trust between segments. Always validate identity and permissions. Monitoring and Alerts: Use your SIEM, flow monitoring tools, or NDR platform to watch for unusual traffic or policy violations. Common Pitfall: Avoid “allow all” rules between segments, it defeats the purpose. Step 5: Test, Validate, and Fine-Tune Even a well-designed segmentation plan can have gaps. Regular validation helps ensure it works as expected. Penetration Testing: Simulate attacks to check if boundaries hold. Review Policies: Business needs to change your segmentation strategy too. Performance Monitoring: Make sure segmentation doesn’t impact legitimate operations or application performance. Automation tools can help simplify this process and ensure consistency. Real-World Use Cases of Network Segmentation 1. Healthcare – Protecting Patient Data and Devices Hospitals use segmentation to keep medical devices, patient records, and visitor Wi-Fi on separate zones. This prevents an infected guest device from interfering with critical systems. Result: Reduced attack surface and HIPAA compliance. 2. Manufacturing – Isolating Industrial Systems Production environments often have fragile legacy systems. Segmenting OT (Operational Technology) from IT ensures ransomware or malware doesn’t disrupt manufacturing lines. Result: More uptime and fewer operational risks. 3. Finance – Securing Payment Systems Banks and payment providers use segmentation to isolate cardholder data environments (CDE) from the rest of the corporate network. This helps meet PCI DSS and keeps sensitive data protected. Result: Easier audits and stronger data security. 4. Education – Managing High-Volume BYOD Traffic Universities segment student Wi-Fi, research labs, and administrative systems. This keeps a vulnerable student device from spreading malware to faculty or internal systems. Result: Safer environment for open access campuses. 5. Cloud – Segmenting Apps and Microservices In the cloud, developers use security groups, VPCs, and IAM roles to isolate applications and limit who can access what. This reduces risk if one workload is compromised. Result: Controlled access and better cloud hygiene. Common Challenges Legacy Tech: Older devices may not support modern segmentation. Lack of Visibility: Hard to secure what you don’t know exists. Operational Hiccups: Poorly planned segmentation can block business workflows. Policy Complexity: Keeping access rules up to date across dynamic environments takes effort. Best Practices Start with High-Risk Areas: Prioritize zones handling sensitive data or vulnerable systems. Keep Documentation Updated: Maintain clear diagrams and policy records. Align Teams: Get buy-in from IT, security, and business units. Automate Where You Can: Especially for monitoring and policy enforcement. Review Regularly: Networks evolve- so should your segmentation. Final Thoughts Segmentation isn’t about creating walls it’s about building smart pathways. Done right, it helps you take control of your network, reduce risk, and respond faster when something goes wrong. It’s a foundational layer of cybersecurity that pays off in resilience, compliance, and peace of mind. About the Author: Prajwal Gowda is a cybersecurity expert with 10+ years of experience. He has built businesses and was a Business Unit Head for Compliance and Testing services. Currently, he is the Chief Technology Officer at Ampcus Cyber, leading the company’s technology strategy and innovation efforts. He has also been involved in the Payment Card Industry, Software Security Framework, ISO 27001 Controls Gap Analysis, ISMS, Risk Analysis, OCTAVE, ISO 27005, Information Security Audit and Network Security. Prajwal is a Master Trainer who has conducted 100+ cybersecurity training sessions worldwide. Tech World TimesTech World Times (TWT), a global collective focusing on the latest tech news and trends in blockchain, Fintech, Development & Testing, AI and Startups. If you are looking for the guest post then contact at techworldtimes@gmail.com

IBM and Roche are teaming up on an AI solution to a challenge faced by millions worldwide: the relentless daily grind of diabetes management. Their new brainchild, the Accu-Chek SmartGuide Predict app, provides AI-powered glucose forecasting capabilities to users. The app doesn’t just track where your glucose levels are—it tells you where they’re heading. Imagine having a weather forecast, but for your blood sugar. That’s essentially what IBM and Roche are creating.AI-powered diabetes managementThe app works alongside Roche’s continuous glucose monitoring sensor, crunching the numbers in real-time to offer predictive insights that can help users stay ahead of potentially dangerous blood sugar swings.What caught my eye were the three standout features that address very specific worries diabetics face. The “Glucose Predict” function visualises where your glucose might be heading over the next two hours—giving you that crucial window to make adjustments before things go south.For those who live with the anxiety of hypoglycaemia (when blood sugar plummets to dangerous levels), the “Low Glucose Predict” feature acts like an early warning system, flagging potential lows up to half an hour before they might occur. That’s enough time to take corrective action.Perhaps most reassuring is the “Night Low Predict” feature, which estimates your risk of overnight hypoglycaemia—often the most frightening prospect for diabetes patients. Before tucking in for the night, the AI-powered diabetes management app gives you a heads-up about whether you might need that bedtime snack. This feature should bring peace of mind to countless households.“By harnessing the power of AI-enabled predictive technology, Roche’s Accu-Chek SmartGuide Predict App can help empower people with diabetes to take proactive measures to manage their disease,” says Moritz Hartmann, Head of Roche Information Solutions.How AI is speeding up diabetes researchIt’s not just patients benefiting from this partnership. The companies have developed a rather clever research tool using IBM’s watsonx AI platform that’s transforming how clinical study data gets analysed.Anyone who’s been involved in clinical research knows the mind-numbing tedium of manual data analysis. IBM and Roche’s tool does the heavy lifting—digitising, translating, and categorising all that anonymised clinical data, then connecting the dots between glucose monitoring data and participants’ daily activities.The result? Researchers can spot meaningful patterns and correlations in a fraction of the time it would normally take. This behind-the-scenes innovation might do more to advance diabetes care and management in the long run than the app itself.What makes this collaboration particularly interesting is how it brings together two different worlds. You’ve got IBM’s computing prowess and AI know-how pairing up with Roche’s decades of healthcare and diabetes expertise.”Our long-standing partnership with IBM underscores the potential of cross-industry innovation in addressing unmet healthcare needs and bringing significant advancements to patients faster,” says Hartmann.“Using cutting-edge technology such as AI and machine learning helps us to accelerate time to market and to improve therapy outcomes at the same time.”Christian Keller, General Manager of IBM Switzerland, added: “The collaboration with Roche underlines the potential of AI when it’s implemented with a clear goal—assisting patients in managing their diabetes.“With our technology and consulting expertise we can offer a trusted, customised, and secure technical environment that is essential to enable innovation in healthcare.”What this means for the future of healthcare techHaving covered healthcare tech for years, I’ve seen plenty of promising innovations fizzle out. However, this IBM-Roche partnership feels promising—perhaps because it’s addressing such a specific, well-defined problem with a thoughtful, targeted application of AI.For the estimated 590 million people (or 1 in 9 of the adult population) worldwide living with diabetes, the shift from reactive to predictive management could be gamechanging. It’s not about replacing human judgment, but enhancing it with timely, actionable insights.The app’s currently only available in Switzerland, which seems a sensible approach—test, refine, and perfect before wider deployment. Healthcare professionals will be keeping tabs on this Swiss rollout to see if it delivers on its promise.If successful, this collaboration could serve as a blueprint for how tech giants and pharma companies might work together on other chronic conditions. Imagine similar predictive approaches for heart disease, asthma, or Parkinson’s.For now, though, the focus is squarely on using AI to improve diabetes management and helping people sleep a little easier at night—quite literally, in the case of that clever nocturnal prediction feature. And honestly, that’s a worthwhile enough goal on its own.(Photo by Alexander Grey)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

If you’ve ever wondered whether the food on your plate could shape your brain’s future, the science is starting to say: yes, it might. While healthy eating has long been linked to better brain health, new research is getting more specific about which diets help, and when you should start following them.At this year’s annual Nutrition conference in Orlando, Florida, researchers presented findings that add weight to the growing link between diet and dementia. According to a news release, study author Song-Yi Park of the University of Hawaii at Manoa said, “Our study findings confirm that healthy dietary patterns in mid to late life and their improvement over time may prevent Alzheimer’s and related dementias. This suggests that it is never too late to adopt a healthy diet to prevent dementia.”The research focused on nearly 93,000 U.S. adults from the long-running Multiethnic Cohort Study. Participants were between 45 years and 75 years old when they entered the study in the 1990s. Over time, more than 21,000 developed Alzheimer’s disease or related dementias — but those who closely followed a specific eating plan, the MIND diet, were significantly less likely to be among them.Combining the Mediterranean Diet and DASH DietThe MIND diet (short for Mediterranean-DASH Intervention for Neurodegenerative Delay) blends the best elements of two established eating plans: the Mediterranean diet and the DASH diet.The Mediterranean diet is inspired by the traditional cuisines of countries like Greece, Italy, and Spain. It focuses on plant-based foods (fruits, vegetables, legumes, nuts, seeds, and whole grains), healthy fats like olive oil, and moderate amounts of fish, poultry, and dairy, with red meat eaten sparingly. It’s been linked to a lower risk of heart disease and is also environmentally friendly.The DASH diet, originally designed to lower blood pressure, shares many similarities but puts extra emphasis on limiting sodium and increasing intake of nutrients like potassium, magnesium, and calcium. It includes low-fat dairy and lean protein sources and doesn’t rely on any hard-to-find foods.The MIND diet specifically promotes brain-healthy foods like leafy greens, berries, nuts, and olive oil, combining benefits of both approaches with a focus on protecting cognitive health.Read More: Is the Mediterranean Diet Healthy?The MIND Diet Over TimeAccording to Park and her team, people who scored highest in MIND diet adherence at the study’s start had a 9 percent lower risk of developing dementia. That number was even higher with around 13 percent for African American, Latino, and White participants. Looking at those who improved their adherence to the MIND diet over time, showed a 25 percent reduction in dementia risk compared to those whose dietary habits declined, which was consistent no matter the age or racial background.“We found that the protective relationship between a healthy diet and dementia was more pronounced among African Americans, Latinos, and Whites, while it was not as apparent among Asian Americans and showed a weaker trend in Native Hawaiians,” Park said in the press release. “A tailored approach may be needed when evaluating different subpopulations’ diet quality.”Interestingly, Asian Americans also tend to have lower dementia rates overall, which researchers believe could mean other cultural eating patterns might offer similar protection than the MIND diet for that group.The Best Time to Start Is NowOne of the most encouraging findings was that starting late still helped. Participants who began following the MIND diet more closely over a 10-year period, regardless of how old they were when they began, saw benefits. This suggests that even if you didn’t grow up eating brain-boosting foods, it’s not too late to change course.It’s worth noting that the study is observational, so, by itself, it can’t prove this specific diet causes better brain health. Study author Park notes that the next step is conducting interventional studies to verify these promising results.Still, the evidence is mounting. Whether you're 45 or 75, choosing greens over greasy snacks could make a real difference when it comes to aging with or without dementia.This article is not offering medical advice and should be used for informational purposes only.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:National Institute of Aging. What Do We Know About Diet and Prevention of Alzheimer’s Disease?Harvard Health Publishing. A practical guide to the Mediterranean dietNational Heart, Lung, and Blood Institute. Following the DASH Eating PlanHaving worked as a biomedical research assistant in labs across three countries, Jenny excels at translating complex scientific concepts – ranging from medical breakthroughs and pharmacological discoveries to the latest in nutrition – into engaging, accessible content. Her interests extend to topics such as human evolution, psychology, and quirky animal stories. When she’s not immersed in a popular science book, you’ll find her catching waves or cruising around Vancouver Island on her longboard.

How Will Transportation Work in the Future? A Look at the Rise of Electric Mobility in CitiesSave this picture!Boise, United States. Image via Wikipedia user: Fæ. License under CC0 1.0. Image Author: Alden SkeieFrom greenhouse gas emissions and air pollution to deforestation, one of the leading contributors to global warming today is emissions from the transportation sector. Exploring its origins and evolution, as well as the major challenges it faces, the development of electric mobility in urban environments represents a global transition that requires a coordinated mix of policies and actions to achieve cleaner and more sustainable transportation systems. Designing safe and comfortable infrastructure for walking and cycling, promoting public transit and shared mobility, and designing more efficient streets that include electric vehicles, among other actions, are part of a growing worldwide effort to reduce carbon emissions.Although electric vehicles were invented before gasoline and diesel cars in the first half of the 19th century, they have undergone significant technological advances over the past 20 years, reducing their costs and their environmental impact, and increasing their utility. Around 1834, Thomas Davenport developed the first battery-powered electric vehicle, building a small train on a circular track and inventing the first direct current (DC) electric motor. Although there were numerous innovations in the years that followed, battery limitations were a major obstacle. The zinc consumption of a battery was four times more expensive than the coal consumption of a steam engine, so at that time it competed with the electric motor. Save this picture!By 1898, the first commercially available electric vehicles were operating in London and New York. As Francisco Martín Moreno explains in "Vehículos eléctricos. Historia, estado actual y retos futuros", in the early 1900s, several electric car models emerged, primarily accessible to wealthy consumers and designed for short distances. In contrast, the early gasoline-powered cars introduced in the 1920s were noisy, emitted strong gasoline odors, and were hard to drive due to complex gear systems. However, large quantities of oil were discovered between 1920 and 1930, making gasoline-powered cars cheaper in Texas and other US states. Highways began to be built connecting cities, allowing gasoline-powered vehicles to travel from one city to another, something beyond the reach of electric vehicles due to their short range. Mass production techniques like Henry Ford's assembly line further reduced costs, making gas-powered cars affordable to the middle class. Related Article Gas Stations and Electric Cars: How Do They Change Cities Save this picture!By the late 1920s, gasoline vehicles had overtaken electric vehicles, and electric car production largely ceased in the 1930s. However, as a result of the oil crisis in the 1970s and the Gulf War in the 1990s, along with the emergence of climate change as a priority, there was a renewed interest in electric cars. This resurgence led to new models of electric vehicles—from small cars to buses and even trucks. The energy crisis led to an increase in gasoline prices, and society in advanced countries began to become aware of the effects of greenhouse gas emissions from oil combustion, the greenhouse effect, and climate change. Concern about greenhouse gas emissions and climate change increased as oil prices rose, and society began to recognize and become more aware of the impact of the current transportation model on cities and the urgency of finding more environmentally friendly transportation alternatives.Save this picture!Save this picture!In developed countries during the 20th century, the growth of cities was largely due to private car use, allowing citizens to travel miles and miles daily from home to work. Suburban expansion shifted the cost of commuting to individuals. Some residential areas are developing far from the city center and industrial zones, where a large proportion of the population relies on cars. In 2010, the global population was around 7 billion, and it's expected to reach 10 billion by 2050. The number of vehicles, meanwhile, is projected to grow from 75 million in 2010 to 2.5 billion by 2050. Will there be enough fossil fuels to power this massive fleet? What will be the future of gas stations?Save this picture!To meet the goals of the Paris Climate Agreement and reduce growing air pollution, low- and middle-income countries should join the global transition to zero-emission electric transport. According to data from the International Energy Agency and the European Alternative Fuels Observatory, China led the world in 2024 with over 7 million electric vehicles (including cars and buses) in operation—an increase of over 3 million in just one year. The U.S. ranked second, followed by Germany, which leads in Europe with about 1.3 million EVs. The UK and France round out the top five.Save this picture!To support this transition, the United Nations Environment Programme (UNEP) has launched a global initiative alongside private sector partners, academic institutions, and financial organizations, helping low- and middle-income countries shift to electric mobility. In Latin America, transportation accounts for around one-third of CO₂ emissions. In Africa, Asia, and parts of Latin America, motorcycles and three-wheelers are essential for daily mobility, often covering over 100 km per day. However, these vehicles usually rely on outdated technologies, making them highly polluting and inefficient. Electrifying two- and three-wheelers presents a significant opportunity to reduce both greenhouse gas emissions and air pollution. UNEP is assisting 17 countries in creating national strategies and running pilot projects to introduce these electric vehicles in regions like Africa, Southeast Asia, and Latin America.Save this picture!Given the rapid urbanization in many low- and middle-income countries, mass public transport remains a cornerstone of urban mobility. Cities across Africa, Asia, and Latin America are investing in better transportation systems, including high-capacity bus corridors and Bus Rapid Transit (BRT) systems. Yet, with the average bus lifespan exceeding 12 years, it's essential to avoid locking cities into outdated technologies. Developing policies to support and incentivize the adoption of zero-emission vehicles is essential to achieving the electrification of public transport. The European Commission proposes promoting investment initiatives in charging infrastructure and emissions trading, to be implemented starting in 2026, by putting a carbon price on fossil-fuel vehicles. This measure seeks to boost the use of electric vehicles and the transformation of transport systems. Now, how could charging infrastructure be developed to support a potential massive growth in the electric vehicle fleet? What upgrades and innovations are needed to handle this future demand? What would happen if all transportation suddenly depended on the power grid?Save this picture!Save this picture!The UN emphasizes that using public transportation is critical to curbing climate change. Electrifying buses and trains could cut greenhouse gas emissions by up to two-thirds per passenger per kilometer compared to private vehicles. Still, private cars hold the greatest potential for emission reduction. In 2018, light-duty vehicles were responsible for nearly half of all transport emissions—including those from rail, sea, and air travel. Several major carmakers have announced ambitious plans to release new EV models in the next five years.Save this picture!According to a study by the McKinsey Center for Future Mobility (2019), roughly 60% of global car trips are under 8 kilometers, making them ideal for micromobility solutions. Electromicromobility refers to small, lightweight, and low-speed electric transportation options for short distances, such as electric skateboards, scooters, bikes, mopeds, and quadricycles. From a user perspective, electric vehicles still face hurdles like high costs, limited range, and long charging times. However, their broader societal benefits—particularly emissions reductions—are significant. Therefore, local and national governments are encouraged to implement supportive policies, such as vehicle purchase subsidies, tax breaks, free charging stations, parking benefits, access to city centers, and special electricity rates for nighttime charging, etc.Save this picture!Save this picture!Ultimately, we should ask: What lies ahead for modern transportation? How could new forms of natural, artificial, and collective intelligence be integrated into the design of today's transportation systems to improve resilience to environmental and growth challenges? What partnerships between countries, industries, and organizations are needed to ensure a sustainable and innovative supply of key materials? What will happen to used EV batteries and electronic components? Will be electric mobility in cities the only way to reduce carbon emissions?This article is part of the ArchDaily Topics: What Is Future Intelligence?, proudly presented by Gendo, an AI co-pilot for Architects. Our mission at Gendo is to help architects produce concept images 100X faster by focusing on the core of the design process. We have built a cutting edge AI tool in collaboration with architects from some of the most renowned firms such as Zaha Hadid, KPF and David Chipperfield.Every month we explore a topic in-depth through articles, interviews, news, and architecture projects. We invite you to learn more about our ArchDaily Topics. And, as always, at ArchDaily we welcome the contributions of our readers; if you want to submit an article or project, contact us. Image gallerySee allShow less About this authorAgustina IñiguezAuthor••• Cite: Agustina Iñiguez. "How Will Transportation Work in the Future? A Look at the Rise of Electric Mobility in Cities" 03 Jun 2025. ArchDaily. Accessed . <https://www.archdaily.com/1030500/how-will-transportation-work-in-the-future-a-look-at-the-rise-of-electric-mobility-in-cities&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