Artificial Intelligence
The upgraded CodeFusion Studio 2.0 simplifies how developers design, test and deploy AI on embedded systems.
Analog Devices (ADI), a global semiconductor company, launched CodeFusion Studio™ 2.0 on November 3, 2025. The new version of its open-source development platform is designed to make it easier and faster for developers to build AI-powered embedded systems that run on ADI’s processors and microcontrollers.
“The next era of embedded intelligence requires removing friction from AI development”, said Rob Oshana, Senior Vice President of the Software and Digital Platforms group at ADI. “CodeFusion Studio 2.0 transforms the developer experience by unifying fragmented AI workflows into a seamless process, empowering developers to leverage the full potential of ADI's cutting-edge products with ease so they can focus on innovating and accelerating time to market”.
The upgraded platform introduces new tools for hardware abstraction, AI integration and automation. These help developers move more easily from early design to deployment.
CodeFusion Studio 2.0 enables complete AI workflows, allowing teams to use their own models and deploy them on everything from low-power edge devices to advanced digital signal processors (DSPs).
Built on Microsoft Visual Studio Code, the new CodeFusion Studio offers built-in checks for model compatibility, along with performance testing and optimization tools that help reduce development time. Building on these capabilities, a new modular framework based on Zephyr OS lets developers test and monitor how AI and machine learning models perform in real time. This gives clearer insight into how each part of a model behaves during operation and helps fine-tune performance across different hardware setups.
Additionally, the CodeFusion Studio System Planner has also been redesigned to handle more device types and complex, multi-core applications. With new built-in diagnostic and debugging features — like integrated memory analysis and visual error tracking — developers can now troubleshoot problems faster and keep their systems running more efficiently.
This launch marks a deeper pivot for ADI. Long known for high-precision analog chips and converters, the company is expanding its edge-AI and software capabilities to enable what it calls Physical Intelligence — systems that can perceive, reason, and act locally.
“Companies that deliver physically aware AI solutions are poised to transform industries and create new, industry-leading opportunities. That's why we're creating an ecosystem that enables developers to optimize, deploy and evaluate AI models seamlessly on ADI hardware, even without physical access to a board”, said Paul Golding, Vice President of Edge AI and Robotics at ADI. “CodeFusion Studio 2.0 is just one step we're taking to deliver Physical Intelligence to our customers, ultimately enabling them to create systems that perceive, reason and act locally, all within the constraints of real-world physics”.
Artificial Intelligence
Robots that learn on the job: AgiBot tests reinforcement learning in real-world manufacturing.
Shanghai-based robotics firm AgiBot has taken a major step toward bringing artificial intelligence into real manufacturing. The company announced that its Real-World Reinforcement Learning (RW-RL) system has been successfully deployed on a pilot production line run in partnership with Longcheer Technology. It marks one of the first real applications of reinforcement learning in industrial robotics.
The project represents a key shift in factory automation. For years, precision manufacturing has relied on rigid setups: robots that need custom fixtures, intricate programming and long calibration cycles. Even newer systems combining vision and force control often struggle with slow deployment and complex maintenance. AgiBot’s system aims to change that by letting robots learn and adapt on the job, reducing the need for extensive tuning or manual reconfiguration.
The RW-RL setup allows a robot to pick up new tasks within minutes rather than weeks. Once trained, the system can automatically adjust to variations, such as changes in part placement or size tolerance, maintaining steady performance throughout long operations. When production lines switch models or products, only minor hardware tweaks are needed. This flexibility could significantly cut downtime and setup costs in industries where rapid product turnover is common.
The system’s main strengths lie in faster deployment, high adaptability and easier reconfiguration. In practice, robots can be retrained quickly for new tasks without needing new fixtures or tools — a long-standing obstacle in consumer electronics production. The platform also works reliably across different factory layouts, showing potential for broader use in complex or varied manufacturing environments.
Beyond its technical claims, the milestone demonstrates a deeper convergence between algorithmic intelligence and mechanical motion.Instead of being tested only in the lab, AgiBot’s system was tried in real factory settings, showing it can perform reliably outside research conditions.
This progress builds on years of reinforcement learning research, which has gradually pushed AI toward greater stability and real-world usability. AgiBot’s Chief Scientist Dr. Jianlan Luo and his team have been at the forefront of that effort, refining algorithms capable of reliable performance on physical machines. Their work now underpins a production-ready platform that blends adaptive learning with precision motion control — turning what was once a research goal into a working industrial solution.
Looking forward, the two companies plan to extend the approach to other manufacturing areas, including consumer electronics and automotive components. They also aim to develop modular robot systems that can integrate smoothly with existing production setups.
Health & Biotech
Reimagining biodefense at the intersection of AI, biology and urgency.
Valthos has raised US$30 million in seed funding, led by the OpenAI Startup Fund, Lux Capital and Founders Fund, to advance its mission of building next-generation biodefense systems.
The company’s work comes at a time when biotechnology is evolving at an unprecedented pace. Biotechnology is moving at record speed. These new tools can lead to life-changing medical discoveries, but they also bring the risk of dangerous biological agents being developed faster than ever.
“The issue at the core of biodefense is asymmetry”, said Kathleen McMahon, co-founder of Valthos. “It’s easier to make a pathogen than a cure. We’re building tools to help experts at the frontlines of biodefense move as fast as the threats they face”. The gap Valthos aims to close is between the rapid rise of biological threats and the slower pace of developing cures. Therefore, the company is developing AI systems that can rapidly analyze biological sequences and significantly shorten the time needed to design medical countermeasures.
“In this new world, the only way forward is to be faster. So we set out to build a new tech stack for biodefense”, said Tess van Stekelenburg, co-founder of Valthos. “This software infrastructure strengthens biodefense today and lays the groundwork for the adaptive, precision therapeutics of tomorrow”.
The company was founded by van Stekelenburg, a partner at Lux Capital and McMahon, the former head of Palantir’s Life Sciences division. Together, they’ve built a multidisciplinary team of experts from Palantir, DeepMind, Stanford’s Arc Institute and MIT’s Broad Institute, bringing together deep experience in software engineering, machine learning and biotechnology.
“Technology is moving fast. An industrial ecosystem of builders, companies and solutions further democratizes AI to provide broad resilience, and ensures the U.S. continues to lead as AI increasingly powers everything around us. As AI and biotech rapidly advance, biodefense is one of the new industry verticals that helps maximize the benefits and minimize the risks”, said Jason Kwon, OpenAI’s Chief Strategy Officer. “Valthos is pushing the frontier of protection and defense in one of the most strategic intersections of multiple world-changing technologies, and with the team to do it”.
Looking ahead, Valthos plans to expand its engineering team and scale its software infrastructure for both government and commercial partners — moving closer to its goal of enabling faster, smarter and more adaptive biodefense capabilities.
Deep Tech
At under US$1,000, Hypernova isn’t just eyewear—it’s Meta’s push to make AR feel ordinary.
Meta is preparing to launch its next big wearable: the Hypernova smart glasses. Unlike earlier experiments like the Ray-Ban Stories, these new glasses promise more advanced features at a price point under US$1,000. With a launch set for September 17 at Meta’s annual Connect conference, the Hypernova is already drawing attention for blending design, technology and accessibility.
In this article, let’s take a closer look at Hypernova’s design, features, pricing and the challenges Meta faces as it tries to bring smart glasses into everyday life.
Meta’s earlier Ray-Ban glasses offered cameras and audio but no display. Hypernova changes that: The glasses will ship with a built-in micro-display, giving wearers quick access to maps, messages, notifications and even Meta’s AI assistant. It’s a step toward everyday AR that feels useful and natural, not experimental.
Perhaps most importantly, the price makes them attainable. While early estimates placed the cost above US$1,000, Meta has committed to a launch price of around US$800. That’s still premium, but it moves AR smart glasses into reach for more consumers.
Hypernova weighs about 70 grams, roughly 20 grams heavier than the Ray-Ban Meta models. The added weight likely comes from added components like the new display and extra sensors.
To keep the glasses stylish, Meta continues its partnership with EssilorLuxottica, the company behind Ray-Ban and Prada eyewear. Thicker frames—especially Prada’s designs—help hide the hardware like chips, microphones and batteries without making the glasses look oversized.
The glasses stick close to the classic Ray-Ban silhouette but feature slightly bulkier arms. On the left side, a touch-sensitive bar lets users control functions with taps and swipes. For example, a two-finger tap can trigger a photo or start video recording.
Hypernova introduces something the earlier Ray-Ban glasses never had: a display built right into the lens. In the bottom-right corner of the right lens, a small micro-screen uses waveguide optics to project a digital overlay with about a 20° field of view. This means you can glance at turn-by-turn directions, check a notification or quickly consult Meta’s AI assistant without pulling out your phone. It’s discreet, practical and a major step up from the older models, which were limited to capturing photos and videos, handling calls and playing music via speakers.
Alongside the glasses comes the Ceres wristband, a companion device powered by electromyography (EMG). The band picks up the tiny electrical signals in your wrist and fingers, translating them into commands. A pinch might let you select something, a wrist flick could scroll a page, and a swipe could move between screens. The idea is to avoid clunky buttons or having to talk to your glasses in public. Meta has also been experimenting with handwriting recognition through the band, though it’s not clear if that feature will be ready in time for launch.
Meta doesn’t just want Hypernova to be useful—it wants it to be fun. Code found in leaked firmware revealed a small game called Hypertrail. It looks to borrow ideas from the 1981 arcade shooter Galaga, letting wearers play a simple, retro-inspired game right through their glasses. It’s not the main attraction, but it shows Meta is trying to make Hypernova feel more like a playful everyday gadget rather than just a piece of serious tech.
Hypernova runs on a customized version of Android and pairs with smartphones through the Meta View app. Out of the box, it should support the basics: calls, music and message notifications. Leaks suggest several apps will come preinstalled, including Camera, Gallery, Maps, WhatsApp, Messenger and Meta AI. A Qualcomm processor powers the whole setup, helping it run smoothly while keeping energy demands reasonable.
Meta is also trying to bring in outside developers. In August 2025, CNBC reported that the company invited third-party developers—especially in generative AI—to build experimental apps for Hypernova and the Ceres wristband. The Meta Connect 2025 agenda even highlights sessions on a new smart glasses SDK and toolkit. The push shows Meta’s interest in making Hypernova more than just a device; it wants a broader platform with apps that go beyond its own first-party software.
During development, Hypernova was rumored to cost as much as US$1,400. By pricing it around US$800, Meta signals that it wants adoption more than profit. The company is keeping production limited (around 150,000 units), showing it sees this as a market test rather than a mass rollout. Still, the sub-US$1,000 price tag makes advanced AR far more accessible than before.
Despite its promise, Hypernova may still face hurdles. The Ceres wristband can struggle if worn loosely, and some testers have reported issues based on which arm it’s worn on or even when wearing long sleeves. In short, getting EMG input right for everyone will be critical.
Privacy is another major concern. In past experiments, researchers hacked Ray-Ban Meta glasses to run facial recognition, instantly identifying strangers and pulling personal info. Meta has added guidelines, like a recording indicator light, but critics argue these measures are too easy to ignore. Moreover, data captured by smart glasses can feed into AI training, raising questions about consent and surveillance.
The Meta Hypernova smart glasses mark a turning point in wearable tech. They’re lighter and more stylish than bulky AR headsets, while offering real-world features like navigation, messaging and hands-free control. At under US$1,000, they aim to make AR glasses more than a luxury gadget—they’re a step toward everyday use.
Whether Hypernova succeeds will depend on how well it balances style, usability and privacy. But one thing is clear: Meta is betting that always-on, glanceable AR can move from science fiction to daily life.
Deep Tech
Can innovation truly deliver affordable housing to those who need it most?
The affordable housing crisis has become one of the most pressing challenges of our time. Across the globe, millions of people are struggling to secure a roof over their heads. In cities like San Francisco, housing prices are so high that even middle-income families find themselves shut out of the market.
The root of this crisis lies in a persistent imbalance: the supply of housing has failed to keep pace with growing demand. Factors such as high construction costs, bureaucratic hurdles, and limited available land in urban areas have made it increasingly difficult to build enough homes quickly and affordably. The result is a market where housing remains inaccessible to millions, even as the need becomes more urgent.
Technology is now stepping in to address these challenges in ways that were unimaginable just a decade ago. From streamlining construction processes to introducing new financing models and data-driven tools, tech innovations are rethinking how homes are built, financed, and accessed. But while these advancements offer hope, they also raise important questions: can they truly address the root causes of the housing crisis, or are they simply patching up a fractured system?
The housing crisis begins with supply shortage: we simply aren’t building enough homes. Traditional construction methods are expensive, slow, and reliant on labor that is increasingly hard to find. This is where technology is making its most significant impact. Startups likeICON and Veev are leading the charge, using cutting-edge solutions to make housing more efficient and affordable.
ICON, for instance, uses 3D printing to build homes faster and at a lower cost. By printing the structure of a house directly on-site, ICON reduces waste, labor requirements, and construction time. Entire neighborhoods of 3D-printed homes are already being built, showcasing how this technology can scale.
Veev, on the other hand, focuses on prefabricated construction. By manufacturing high-quality components like walls and steel frames in a controlled factory environment, Veev eliminates inefficiencies associated with on-site building. These components are then assembled on location, drastically reducing construction time and costs. This approach mirrors the principles of mass production seen in industries like automotive manufacturing, where efficiency and scalability are key.
While building more homes is essential, access to housing often depend son financing. For many people, especially those with low or irregular incomes, the traditional mortgage system presents insurmountable barriers. Fintech innovations are stepping in to make housing financing more inclusive and flexible.
Access to affordable housing often hinges on financing, and innovative financial technology (fintech) solutions are beginning to change the landscape. Some platforms are offering new ways for individuals to transition from renting to owning, while others are introducing shared equity models that reduce the traditional barriers of large down payments and strict credit requirements. For example, companies like Point use shared-equity financing, where homeowners receive funds in exchange for a percentage of their home’s future value instead of taking on traditional debt. Meanwhile, startups are building tools that automate and simplify and revolutionizing the mortgage process, making it easier for underserved populations to access loans tailored to their needs.
Blockchain technology is also changing the game. By digitizing land titles and creating secure records of financial transactions, blockchain reduces the complexity and difficulty of accessing credit, especially for those with limited traditional credit. This is particularly impactful in regions where informal economies dominate and traditional proof of income is scarce. These tools create a pathway to homeownership for individuals who would otherwise be excluded from the system.
Beyond building and financing, technology is transforming how we understand and address housing needs. Artificial intelligence (AI) is revolutionizing risk assessment in the mortgage industry by analyzing a broader range of financial behaviors, such as rent and utility payments, to provide a more inclusive picture of creditworthiness.
At the same time, AI and big data are helping policymakers and developers make smarter decisions about where and how to build. By analyzing population trends, commuting patterns, and infrastructure needs, these tools ensure that new housing developments are built in the right places, reducing wasteful construction and improving urban planning.
For example, startups are using 3D scanning and machine learning to map informal settlements and identify buildings at risk of collapse. These insights not only improve safety but also guide investment toward areas where housing is most desperately needed.
The housing crisis is one of the most complex challenges of our time, and technology alone cannot solve it. But it can provide powerful tools to address specific pain points, from streamlining construction to expanding access to financing. Startups like ICON, Veev, and Landis are proving that innovation can lower costs, improve efficiency, and make housing more inclusive.
However, the ultimate solution lies in a combination of technology, policy reform, and community engagement. Governments must work alongside tech innovators to create urban environments that prioritize affordability, sustainability, and accessibility.
The future of housing isn’t just about building more homes; it’s about building smarter, greener, and fairer cities where everyone has a place to call home. By integrating cutting-edge technologies with forward-thinking policies, we can move closer to a world where affordable housing is not an aspiration but a reality.
The question is no longer whether technology can solve the housing crisis—it’s how we will use it wisely to create lasting change.
Health & Biotech
Can AI companions really help with our mental health?
As technology continues to weave itself into the fabric of our daily lives, it’s starting to play an unexpected role: supporting our mental health. AI companions—digital entities designed to hold natural, empathetic conversations—are emerging as a new frontier in emotional care. Unlike chatbots of the past, these AI companions leverage advanced algorithms and emotional intelligence to provide personalized support, making them more than just tools. They are companions in every sense of the word—always available, always listening, and always ready to offer comfort. But can AI companions truly help us feel better, or are they just another tech trend? Let’s dive into how these digital allies are reshaping mental health care and what their growing presence means for our emotional well-being.
Loneliness is often called an epidemic, with millions of people worldwide feeling isolated or disconnected. While human relationships are irreplaceable, AI companions offer a consistent and accessible alternative to combat feelings of loneliness.
These companions don’t just respond—they engage. They remember your preferences, ask follow-up questions, and adapt their conversations to your needs. Imagine having someone to talk to at any time of day, about anything on your mind, without fear of judgment. AI companions may not replace a human friend, but they can provide a sense of presence and connection that can be profoundly comforting.
In a world where reaching out to others can sometimes feel daunting, AI companions offer a simple solution: they’re always there. This consistency can help people feel less alone, fostering a sense of connection in an increasingly disconnected world.
We all experience moments of stress, sadness, or doubt, and having someone to turn to during those times can make all the difference. AI companions are designed with emotional intelligence, enabling them to recognize and respond to your feelings in real time.
Through sentiment analysis and adaptive learning, these companions can detect when you’re feeling low and tailor their responses to provide comfort. Whether it’s offering words of encouragement, suggesting self-care activities, or simply listening, they provide a safe space to process emotions.
Unlike traditional apps that focus on tracking habits or delivering generic advice, AI companions meet you where you are emotionally. This personalized approach can help users feel truly supported, even in their most challenging moments.
For many of us, expressing our thoughts and emotions openly can feel like a risk. Fear of judgment, misunderstanding, or even burdening others often holds us back. AI companions offer an alternative: a completely private, judgment-free space to share whatever is on your mind.
Talking things out—whether it’s frustrations from the day or deeper personal struggles—can be incredibly therapeutic. And with AI companions, there’s no need to worry about being misunderstood or dismissed. You can let your guard down, explore your feelings, and reflect on your experiences with total freedom.
This safe space for self-expression can be especially valuable for those who struggle to open up to others. It’s not about replacing human relationships but about having an outlet that’s always available and entirely focused on you.
Self-doubt is a common barrier to personal growth, and many of us battle negative self-talk daily. AI companions are programmed to combat this by offering positive reinforcement and encouragement.
For example, if you express doubt about your abilities, an AI companion might respond with affirmations like, “You’ve accomplished so much already—don’t forget how capable you are.” Over time, these small but meaningful interactions can help shift your mindset, replacing self-criticism with self-compassion.
This ability to mirror supportive, affirming conversations can build confidence and foster a more positive self-image. It’s a subtle but powerful way AI companions can contribute to emotional well-being.
AI companions are more than just a tech trend; they represent a new way of thinking about mental health care. By offering companionship, emotional support, safe spaces for self-expression, and tools for mindfulness, they empower users to take control of their well-being.
While they may not replace traditional methods of care, AI companions are making mental health support more accessible, immediate, and personalized. They’re a reminder that sometimes, the smallest interactions—an encouraging word, a moment of mindfulness, or a listening ear—can have the biggest impact.
As we embrace this new era of technology, one thing is clear: AI companions are not just about convenience. They’re about connection, support, and the potential to make emotional care a part of everyday life. And in a world that often feels disconnected, that’s something worth celebrating.
Fintech & Payments
Take charge of your finances with these top budget monitoring apps that make tracking spending simple, smart, and stress-free.
Managing personal finances can feel overwhelming, especially with the countless expenses we juggle daily. Thankfully, budget monitoring apps are hereto save the day. These handy tools help you track your spending, set financial goals, and build better money habits—all from the convenience of your smartphone.
Whether you're saving for a vacation, paying off debt, or just trying to avoid those end-of-the-month surprises, budget tracker apps can provide clarity and control over your finances. Here are 5 budget monitoring apps that will keep your spending on track.
If simplicity is what you’re after, Monefy is the solution. Known for its highly intuitive interface, Monefy lets users track their spending with just a few taps. Unlike many budget apps that overwhelm you with features, Monefy focuses on the essentials, making it great for beginners or anyone looking for a straightforward way to manage their money.
Monefy is perfect for users who want a no-frills app to track spending or beginners just dipping their toes into budgeting.
Budgeting doesn’t have to feel like a chore, and Fortune City proves just that. This app gamifies your financial habits by turning expense tracking into a city-building game. Every category of spending contributes to your virtual city’s development, making it an enjoyable way to visualize where your money is going.
Fortune City is ideal for those who find traditional budgeting boring or intimidating and want a fun way to stay consistent.
Jupiter combines the best of both worlds: digital banking and budgeting. This app integrates directly with your bank account, automatically categorizing transactions and providing insights into your spending patterns. It’s not just a budget tracker—it’s a full-fledged financial assistant.
Jupiter is best for users who want a hands-off budgeting experience and prefer an all-in-one app for banking and money management.
Inspired by the envelope budgeting method, GoodBudget offers a digital twist on this classic approach. Instead of physical envelopes, you allocate your money into virtual "envelopes" for different spending categories. This app encourages disciplined spending and is particularly effective for budgeters who like to plan ahead.
GoodBudget is ideal for planners who like a structured approach to budgeting and don’t mind manual tracking.
Wally is a feature-packed app designed for users who want deep insights into their spending habits. Its sleek design, multi-currency support, and detailed financial reports make it a standout option, especially for frequent travelers or professionals juggling multiple accounts.
Wally is perfect for users who want advanced budgeting tools and detailed insights, especially those with international financial needs.
Budget monitoring apps are powerful tools that simplify the often-daunting task of managing your finances. Whether you’re drawn to the playful gamification of Fortune City, the structured approach of GoodBudget, or the all-in-one convenience of Jupiter, there’s an app tailored to your preferences and goals.
These apps don’t just track your spending—they help you build better habits, gain financial clarity, and take control of your money. With the right app in your pocket, managing your budget becomes less of a chore and more of are warding journey toward financial freedom. So why wait? Choose an app, start tracking, and watch your financial confidence grow!