#Edge Computing

[mohammed44c]

Edge Computing, Real-Time Data Processing, and Intelligent Automation

In the dynamic landscape of the power industry, staying ahead of the curve requires a fusion of cutting-edge technologies and strategic operations. With over four years of experience in the field, our journey has been marked by innovation, efficiency, and resilience. In this article, we explore how the convergence of edge computing, real-time data processing, predictive fault diagnosis, and intelligent automation is revolutionizing the energy sector.

Edge Computing: A Powerhouse at the Edge

Edge computing is the bedrock upon which modern utility IT operations are built. By processing data closer to the source, we've reduced latency and increased responsiveness. This real-time capability has enabled us to make critical decisions swiftly, optimizing grid operations and minimizing downtime. The result? A more reliable and efficient energy distribution system.

Real-Time Data Processing: Harnessing the Flow

The ability to handle vast volumes of real-time data has unlocked new possibilities for the power industry. We've implemented advanced data analytics to monitor and control grid assets proactively. Predictive fault diagnosis and anomaly detection algorithms have become our allies in preventing potential failures, thus averting costly disruptions.

Predictive Fault Diagnosis: Proactive Maintenance

Predictive fault diagnosis is a game-changer in the energy industry. By leveraging historical data and machine learning models, we've gained the capability to predict equipment failures before they occur. This predictive maintenance approach has not only extended the lifespan of critical assets but has also significantly reduced operational costs.

Robotic Process Automation (RPA): Streamlining Operations

RPA has automated routine tasks, freeing up human resources for more complex problem-solving. In the power sector, this has led to improved efficiency in billing, customer service, and administrative functions. It's allowed us to allocate resources strategically and ensure a seamless experience for customers.

Intelligent Automation (IA): Powering the Future

Intelligent Automation (IA) goes beyond RPA, integrating AI and machine learning to make autonomous decisions. IA systems continuously learn from data, optimizing grid operations in real-time. It's a crucial component in our journey toward a smart grid, where energy generation, distribution, and consumption are finely tuned to meet demand efficiently.

In conclusion, the synergy of edge computing, real-time data processing, predictive fault diagnosis, RPA, and IA has transformed the power industry. We are no longer just energy providers; we are orchestrators of a reliable, efficient, and sustainable energy ecosystem. As we look to the future, our commitment to innovation remains unwavering, ensuring that the lights stay on and the power flows seamlessly for generations to come.

[codecrafted]

10 Biggest Data Science Trends to Watch in 2025 Data science is evolving faster than ever! From generative AI and real-time analytics to edge computing and ethical AI, 2025 is set to bring groundbreaking changes. 🌐💡

Whether you're a data enthusiast, professional, or just curious, this list breaks down the biggest trends reshaping how businesses and tech teams work with data. Learn about synthetic data, low-code tools, quantum computing’s potential, and more.

[chemicalmarketwatch-sp]

Data Center Liquid Cooling Market Size, Forecast & Growth Opportunities

In 2025 and beyond, the data center liquid cooling market size is poised for significant growth, reshaping the cooling landscape of hyperscale and enterprise data centers. As data volumes surge due to cloud computing, AI workloads, and edge deployments, traditional air-cooling systems are struggling to keep up. Enter liquid cooling—a next-gen solution gaining traction among CTOs, infrastructure heads, and facility engineers globally.

Market Size Overview: A Surge in Demand

The global data center liquid cooling market size was valued at USD 21.14 billion in 2030, and it is projected to grow at a CAGR of over 33.2% between 2025 and 2030. By 2030, fueled by escalating energy costs, density of server racks, and the drive for energy-efficient and sustainable operations.

This growth is also spurred by tech giants like Google, Microsoft, and Meta aggressively investing in high-density AI data centers, where air cooling simply cannot meet the thermal requirements.

What’s Driving the Market Growth?

AI & HPC Workloads The rise of artificial intelligence (AI), deep learning, and high-performance computing (HPC) applications demand massive processing power, generating heat loads that exceed air cooling thresholds.

Edge Computing Expansion With 5G and IoT adoption, edge data centers are becoming mainstream. These compact centers often lack space for elaborate air-cooling systems, making liquid cooling ideal.

Sustainability Mandates Governments and corporations are pushing toward net-zero carbon goals. Liquid cooling can reduce power usage effectiveness (PUE) and water usage, aligning with green data center goals.

Space and Energy Efficiency Liquid cooling systems allow for greater rack density, reducing the physical footprint and optimizing cooling efficiency, which directly translates to lower operational costs.

Key Technology Trends Reshaping the Market

Direct-to-Chip (D2C) Cooling: Coolant circulates directly to the heat source, offering precise thermal management.

Immersion Cooling: Servers are submerged in thermally conductive dielectric fluid, offering superior heat dissipation.

Rear Door Heat Exchangers: These allow retrofitting of existing setups with minimal disruption.

Modular Cooling Systems: Plug-and-play liquid cooling solutions that reduce deployment complexity in edge and micro-data centers.

Regional Insights: Where the Growth Is Concentrated

North America leads the market, driven by early technology adoption and hyperscale investments.

Asia-Pacific is witnessing exponential growth, especially in India, China, and Singapore, where government-backed digitalization and smart city projects are expanding rapidly.

Europe is catching up fast, with sustainability regulations pushing enterprises to adopt liquid cooling for energy-efficient operations.

Download PDF Brochure - Get in-depth insights, market segmentation, and technology trends

Key Players in the Liquid Cooling Space

Some of the major players influencing the data center liquid cooling market size include:

Vertiv Holdings

Schneider Electric

LiquidStack

Submer

Iceotope Technologies

Asetek

Midas Green Technologies

These innovators are offering scalable and energy-optimized solutions tailored for the evolving data center architecture.

Forecast Outlook: What CTOs Need to Know

CTOs must now factor in thermal design power (TDP) thresholds, AI-driven workloads, and sustainability mandates in their IT roadmap. Liquid cooling is no longer experimental—it is a strategic infrastructure choice.

By 2027, more than 40% of new data center builds are expected to integrate liquid cooling systems, according to recent industry forecasts. This shift will dramatically influence procurement strategies, energy models, and facility designs.

Request sample report - Dive into market size, trends, and future

Conclusion: 

The data center liquid cooling market size is set to witness a paradigm shift in the coming years. With its ability to handle intense compute loads, reduce energy consumption, and offer environmental benefits, liquid cooling is becoming a must-have for forward-thinking organizations. It is time to evaluate and invest in liquid cooling infrastructure now—not just to stay competitive, but to future-proof their data center operations for the AI era.

[savvienttech]

Edge Computing for Web Developers: How to Speed Up Your Apps

In today’s digital race, milliseconds matter.

Whether you’re building a real-time dashboard, an e-commerce platform, or a SaaS product, users expect one thing — speed. But traditional cloud setups, while powerful, aren’t always fast enough when data has to travel halfway across the globe.

Enter: Edge Computing — a game-changing strategy that moves computing closer to users and supercharges web performance.

What Is Edge Computing (And Why Should You Care)?

Imagine you’re ordering pizza. Would you rather get it from a kitchen next door or one 500 miles away?

That’s the difference between centralized cloud and edge computing.

Edge computing is about processing data as close to the user as possible — often on local servers or network nodes instead of a distant data center. For web developers, this means fewer delays, faster responses, and smoother user experiences.

And in an age where a one-second delay can drop conversions by 7%, that’s a big deal.

How Does It Actually Work?

Here’s the simple version:

You deploy some parts of your app (like APIs, static files, and authentication logic) to a central server and across multiple edge locations worldwide.

When a user in New York accesses your app, it loads from a nearby edge server, not from a main server in Singapore.

Result? Lower latency, less server load, and faster load times.

What Can Web Developers Use Edge Computing For?

Edge computing isn’t just for heavy tech infrastructure — it’s now developer-friendly and API-driven. Here’s how you can use it:

1. Deliver Static Assets Faster

CDNs (Content Delivery Networks) like Cloudflare, Vercel, or Netlify already do this — they serve your HTML, CSS, JS, and images from edge locations.

Bonus Tip: Combine with image optimization at the edge to slash load times.

2. Run Serverless Functions at the Edge

Think dynamic actions like form submissions, authentication, or geolocation-based content. Platforms like Cloudflare Workers, Vercel Edge Functions, and AWS Lambda@Edge let you run logic closer to your users.

Example: Show region-specific content without needing the user to wait for a central server to decide.

3. Improve API Response Times

You can cache API responses or compute lightweight operations at the edge to reduce back-and-forth trips to the origin server.

Imagine: A travel app loading nearby attractions instantly by computing distance at the edge, not centrally.

4. Secure Your App Better

Edge networks can block threats before they ever reach your main server, including bots, DDoS attacks, and suspicious traffic.

It’s like having a security guard posted on every street corner, not just your front door.

But… Does Every App Need Edge Computing?

Not necessarily. If your app is local, low-traffic, or non-latency-sensitive, traditional cloud might be enough.

But if you’re scaling globally, working with real-time data, or want lightning-fast load speeds, edge computing is your secret weapon.

Real-World Impact: Numbers Don’t Lie

Vercel reported a 50% performance boost for apps deployed with edge functions.

Retailers using edge caching see a 20–30% decrease in bounce rates.

Streaming platforms improved video start times by up to 60% with edge delivery.

These aren’t just nice-to-haves — they’re competitive advantages.

Getting Started: Tools You Should Know

Here are a few platforms and tools that make edge computing accessible for developers:

Cloudflare Workers — Write JavaScript functions that run at the edge.

Vercel — Perfect for Next.js and frontend teams, with edge function support.

Netlify Edge Functions — Simplified edge logic built into your CI/CD.

AWS Lambda@Edge — Enterprise-grade, with tight AWS integration.

Pro tip: If you’re already using frameworks like Next.js, Nuxt, or SvelteKit, edge-ready deployments are often just one setting away.

Final Thoughts: Why This Matters to You

For developers: Edge computing lets you build faster, more responsive apps without reinventing your stack.

For business owners: It means happier users, lower customer loss, and more conversions.

In a world where speed = success, edge computing isn’t the future — it’s the edge you need today.

[olivergisttv]

Post-Cloud Careers: Why 'Edge Computing' Specialists Are Earning $250K in 2025

Cloud is Old News. The Edge is the New Frontier. In 2025, the cloud isn’t dead—but it’s no longer the hero of the story. With smart factories, autonomous vehicles, and hyper-personalized AR glasses flooding the market, centralized data centers just can’t keep up. Enter Edge Computing—the decentralized network architecture processing data at the source (your streetlight, toaster, or Tesla). And…

[legarski]

Industry 4.0: Powering the Next Industrial Revolution with Intelligence, Connectivity, and Automation

The world is undergoing a radical transformation. As we move deeper into the 21st century, the fusion of digital, physical, and biological systems is reshaping how we manufacture, operate, and innovate. This revolution has a name: Industry 4.0—the fourth industrial revolution. It represents a new era where smart technology, real-time data, automation, and interconnected networks converge to…

[nuadox]

Researchers develop neuromorphic AI chip that operates without cloud connectivity

- By Nuadox Crew -

Researchers at the Technical University of Munich (TUM), led by Prof. Hussam Amrouch, have developed a new neuromorphic AI chip called AI Pro that operates without cloud connectivity.

Inspired by the human brain, the chip performs on-site data processing using hyperdimensional computing, allowing it to recognize patterns with minimal training data—unlike conventional deep learning systems.

The chip offers robust cybersecurity by eliminating internet reliance and is up to ten times more energy efficient than traditional AI processors. It delivers customized, application-specific performance, such as processing vital signs from wearables or navigation data from drones. By handling data locally, it also reduces the carbon footprint associated with cloud computing.

Although AI Pro is smaller and less densely packed than general-purpose chips like those from NVIDIA, its design focuses on specialized, local AI tasks. Early prototypes have been manufactured by Global Foundries, and the research is under review for the ESSERC 2025 conference.

Header image: Prof. Hussam's research group has mounted the new AI chip onto a circuit board. Credit: Andreas Heddergott/TUM.

Read more at TUM

Scientific paper: End-to-end Hyperdimensional Computing with 24.65 µJ per Training Sample in 22 nm Technology. www.ce.cit.tum.de/fileadmin/w0 … h_KI_Chip_ESSERC.pdf

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Principais Tendências na Computação em Nuvem segundo a SUSE na KubeCon 2025

Growtika – Unsplash A KubeCon 2025, principal evento mundial sobre Kubernetes e tecnologias nativas da nuvem, trouxe insights essenciais sobre a evolução da computação em nuvem, conforme apresentado por David Stauffer, Diretor Sênior de Gerenciamento de Produtos da SUSE. Ele destacou quatro tendências chave que estão moldando o futuro das tecnologias de nuvem, impactando empresas globalmente,…

[visionaryvogues03]

How Edge Computing is Redefining Latency and Performance in the iGaming Industry?

Edge computing is a distributed company model that processes data closer to its source. Unlike traditional computing, it supports iGaming industry in several ways. This approach significantly reduces the time it takes for data to travel. Edge computing substantially reduces latency by processing data closer to its source. It also implements decentralization in the computing resources by simultaneously distributing them to various locations. 

The Latency Dilemma in iGaming

Latency — the delay between a user action and a platform response — has long been the Achilles’ heel of the iGaming industry. Whether it’s a live dealer session or an esports betting match, every moment of delay creates friction. Traditional cloud models, which rely on centralized servers, introduce considerable lag, especially when data must travel across continents. For U.S.-based users playing on global platforms, this often means disrupted experiences and, ultimately, loss of engagement.

Edge computing changes this paradigm by decentralizing processing power. By deploying data centers closer to end users — at the “edge” of the network — latency is drastically reduced. In the iGaming industry, where real-time responsiveness is critical, edge computing ensures actions are executed instantly and seamlessly.

Performance at the Speed of Proximity

Edge computing is more than just speed. It’s about proximity-driven performance. In the iGaming industry, performance impacts everything from user retention to the accuracy of live betting odds. With edge computing, data is processed locally, minimizing packet loss and enhancing load times. This empowers operators to deliver smooth, uninterrupted gameplay — even during peak traffic hours.

For instance, a New Jersey-based player engaging with a server in California may experience several hundred milliseconds of lag under a traditional cloud model. Edge computing nodes in New Jersey or nearby drastically reduce this latency, resulting in more dynamic gameplay and fewer server timeouts.

Strengthening Data Security and Compliance

As the iGaming industry grows in popularity across regulated U.S. states, data security and compliance are becoming central to operations. Edge computing facilitates localized data processing, which makes regulatory compliance easier. Instead of transferring sensitive user data across borders, edge nodes ensure data remains within jurisdictional boundaries — crucial for meeting state-specific gaming laws and privacy standards.

Additionally, by minimizing data transmission, edge computing reduces the surface area for cyberattacks, enhancing the security posture of gaming platforms. For C-suite leaders, this means not only safeguarding brand reputation but also maintaining the trust of millions of users in an increasingly scrutinized industry.

Real-Time Personalization and Immersive Gameplay

Personalization is now a competitive advantage in the e-Gaming industry. Edge computing allows gaming platforms to analyze user behavior and deliver real-time customization, from tailored promotions to personalized UI experiences. Because data is processed closer to the user, personalization engines can react instantly to a player’s in-game behavior, delivering experiences that are both dynamic and relevant.

Moreover, the rise of AR/VR in the iGaming space is pushing the boundaries of real-time computing. Whether it’s a virtual poker table or an immersive casino floor, edge computing enables smoother rendering and faster feedback, crucial for ensuring the realism and responsiveness required by next-generation gaming formats.

Empowering Operators with Scalable Infrastructure

Traditional server models can’t easily scale in real-time to meet surges in user demand — a problem during high-traffic events like national tournaments or esports showdowns. Edge computing solves this by offering localized scalability. Operators can rapidly deploy resources where demand spikes, without overburdening central infrastructure.

For startup entrepreneurs and tech leaders in the iGaming industry, this translates into a more agile and cost-efficient growth strategy. Rather than investing heavily in centralized servers, platforms can build modular edge nodes in strategic U.S. regions to optimize load balancing, reduce costs, and increase ROI.

Strategic Edge Adoption Among U.S. Operators

Several U.S.-based iGaming companies are already integrating edge computing into their technology stacks. Companies like FanDuel and DraftKings, which handle massive volumes of real-time data for betting and fantasy leagues, have started to use edge-based architecture to enhance speed and reduce lag. By decentralizing workloads, they improve performance for end-users while ensuring compliance with rapidly evolving state-level gaming laws.

In a recent Deloitte survey, 74% of tech executives said that edge computing would play a critical role in their operations within the next two years. For the iGaming industry, this means it’s no longer a question of if but when companies adopt edge as the foundation for future competitiveness.

Looking Ahead: Innovation Without Compromise

As the U.S. iGaming industry continues its meteoric rise, edge computing offers a pathway to innovation without compromise. Performance, compliance, security, and personalization are no longer mutually exclusive — they can co-exist through smart, distributed infrastructure.

C-suite leaders and forward-thinking entrepreneurs must now pivot from cloud-only strategies to hybrid models that incorporate edge computing. In doing so, they’ll not only improve operational efficiency but also deliver the immersive, frictionless experiences that modern gamers expect.

From real-time odds calculation to immersive, interactive gameplay, the online wagering market is being redefined by edge computing. It is not merely a backend upgrade — it is a strategic imperative, enabling U.S.-based gaming platforms to lead in a hypercompetitive, high-stakes market where every millisecond counts.

Conclusion

Edge computing stands as the cornerstone of the next evolution in the iGaming industry. By enabling hyper-local, ultra-fast data processing, it helps platforms scale smarter, respond faster, and protect better. For U.S.-focused operators and innovators, the message is clear: adapt early, scale wisely, and game on the edge.

Uncover the latest trends and insights with our articles on Visionary Vogues

[nrgnews-it]

Sovranità Digitale Europea: Tra Dipendenze Cloud e Spinta Startup, la Via è l'Intelligenza Edge Efficiente

[bitstream24]

The Industrial Internet of Things (IIoT): A Comprehensive Technical Report

Explore a comprehensive technical report on the Industrial Internet of Things (IIoT), covering key technologies, real-world applications across industries, benefits, challenges, and future trends.

[tudipblog]

IoT in Action: Transforming Industries with Intelligent Connectivity

The Power of Connectivity

The Internet of Things (IoT) has become a cornerstone of innovation, as it reimagines industries and redefines the way business is conducted. In bridging the physical and digital worlds, IoT enables seamless connectivity, smarter decision-making, and unprecedented efficiency. Today, in the competitive landscape, intelligent connectivity is no longer just a technology advancement; for businesses wanting to be relevant and continue to thrive, it is now a strategic imperative.

IoT is not simply about connecting devices; it’s about creating ecosystems that work collaboratively to drive value. With industries relying heavily on real-time data and actionable insights, IoT-powered connectivity has become the backbone of operational excellence and growth. Let’s explore how this transformative technology is revolutionizing key sectors, with a focus on how businesses can leverage it effectively.

Applications of IoT in Key Industries

1.Smart Manufacturing: Efficiency Through Connectivity

Manufacturing has embraced IoT as a tool to streamline operations and boost productivity. By embedding sensors in machinery and integrating real-time monitoring systems, manufacturers can:

Predict and Prevent Downtime: IoT-enabled predictive maintenance reduces unplanned outages, saving time and money.

Optimize Resource Allocation: Smart systems track inventory, raw materials, and energy consumption, ensuring optimal usage.

Enhance Quality Control: Real-time data from production lines helps identify defects early, maintaining high-quality standards.

Example: A global automotive manufacturer integrated IoT sensors into its assembly lines, reducing equipment downtime by 25% and improving production efficiency by 30%. The ability to monitor machinery health in real time transformed their operations, delivering significant cost savings.

2.Healthcare: Improve Patient Outcomes

In healthcare, IoT has been a game-changer in enabling connected medical devices and systems that enhance patient care and operational efficiency. The main applications include:

Remote Patient Monitoring: Devices track vital signs in real time, allowing healthcare providers to offer timely interventions.

Smart Hospital Systems: IoT-enabled equipment and sensors optimize resource utilization, from patient beds to medical supplies.

Data-Driven Decisions: IoT integrates patient data across systems, providing actionable insights for personalized treatment plans.

Example: A major hospital has put into operation IoT-enabled wearables for chronic disease management. This solution reduced the number of readmissions to hospitals by 20% and empowered patients to take an active role in their health.

3.Retail: Revolutionizing Customer Experiences

IoT is revolutionizing retail through increased customer interaction and streamlined operations. Connected devices and smart analytics allow retailers to:

Personalize Shopping Experiences: IoT systems track customer preferences, offering tailored recommendations in real time.

Improve Inventory Management: Smart shelves and sensors keep stock levels optimal, reducing wastage and improving availability.

Enable Smooth Transactions: IoT-driven payment systems make checkout easier and much faster, increasing customers’ convenience

Example: A retail chain leveraged IoT to integrate smart shelves that automatically update inventory data. This reduced out-of-stock situations by 40%, improving customer satisfaction and driving higher sales.

Role of Intelligent Connectivity in Business Transformation

Intelligent connectivity lies at the heart of IoT’s transformative potential. By connecting devices, systems, and processes, businesses can:

Accelerate Decision-Making: Real-time data sharing enables faster, more informed decisions, giving companies a competitive edge.

It increases collaboration by allowing smooth communication between departments and teams, making the entire system more efficient.

Adapt to Market Dynamics: IoT enables companies to respond quickly to changes in demand, supply chain disruptions, or operational challenges.

Intelligent connectivity is not just about technology; it’s about creating value by aligning IoT solutions with business objectives. This strategic approach guarantees that IoT investments will deliver measurable outcomes, from cost savings to improved customer loyalty.

How Tudip Technologies Powers Intelligent Connectivity

Tudip Technologies specializes in designing and implementing IoT solutions that drive meaningful transformation for businesses. With a focus on innovation and collaboration, Tudip ensures that its clients achieve operational excellence through intelligent connectivity.

Tailored Solution for Every Business Industry

Tudip understands that no two businesses are alike. By customizing IoT strategies to address specific challenges, Tudip helps clients unlock the full potential of connectivity. Examples include:

Smart Supply Chains: Implementing IoT systems that provide real-time visibility into inventory and logistics, reducing delays and improving efficiency.

Energy Management: Developing IoT frameworks to monitor and optimize energy usage, driving sustainability and cost savings.

Healthcare Innovations: Designing networked medical devices that allow remote patient monitoring and data integration without a hitch.

The Future of Connected Systems

The demand for intelligent connectivity will keep increasing as the industries continue to evolve. Emerging trends in IoT include edge computing, 5G networks, and AI-powered analytics, which promise to redefine possibilities for connected ecosystems.

Businesses that embrace these advancements stand to gain:

Greater Resilience: IoT enables adaptive systems that can withstand market fluctuations and operational challenges.

Enhanced Innovation: Connected technologies open doors to new business models, revenue streams, and customer experiences.

Sustainable Growth: IoT optimizes resources and processes, contributing to long-term environmental and economic sustainability.

The future belongs to those who see connectivity not just as a technological tool but as a strategic enabler of transformation. The right partner will help businesses transform IoT from a concept into a competitive advantage.

Conclusion: Embracing Intelligent Connectivity with Tudip

IoT is not just changing the way businesses operate—it’s redefining what’s possible. From manufacturing and healthcare to retail and beyond, intelligent connectivity is driving innovation, efficiency, and growth across industries.

Tudip Technologies is at the forefront of this transformation, offering customized IoT solutions that deliver real results. By prioritizing collaboration, adaptability, and measurable outcomes, Tudip ensures that its clients stay ahead in an increasingly connected world.

Now is the time to embrace the power of IoT and unlock its potential for your business. With Tudip as your partner, the journey to intelligent connectivity is not just achievable—it’s inevitable.

Click the link below to learn more about the blog IoT in Action: Transforming Industries with Intelligent Connectivity https://tudip.com/blog-post/iot-in-action-transforming-industries-with-intelligent-connectivity/

[vortexofadigitalkind]

🌐 The cloud didn’t vanish. It rained. And something new began to grow. Explore The Last Server Farm, a story of endings, beginnings, and the quiet revolution of decentralized networks. Read now: https://wp.me/p19z04-Oc #DecentralizedInternet #DigitalSovereignty #PeerToPeer #TheLastServerFarm

[olivergisttv]

5G, Edge AI, and the Death of the Cloud?

Is the cloud… dying? Not quite. But 5G and Edge AI are challenging its dominance — fast. In 2025, real-time computing is moving closer to devices, and businesses are waking up to the power of local intelligence over remote dependence. Let’s break down what’s happening — and why it matters for your business. 5G, Edge AI, and the Death of the Cloud? What is Edge AI? Edge AI refers to AI models…

[nuadox]

New ferroelectric device performs in memory calculations and could boost energy efficiency for edge computing

- By Nuadox Crew -

A new study in Nature Communications introduces a device called an in-memory ferroelectric differentiator that can do calculations right inside the memory itself.

This means it doesn’t need a separate processor, which saves a lot of energy—especially useful for devices like smartphones, self-driving cars, and security cameras.

Most computers today use a design where memory and processors are separate. This setup wastes energy and slows things down because data constantly has to move back and forth. The researchers solved this by using ferroelectric materials, which can store data even when the power is off and create electric signals when their internal structure changes.

They built a tiny 40×40 grid made up of 1,600 of these materials, which lets the device act as both memory and processor. It can handle tasks like motion detection and video analysis directly in memory, without needing extra steps.

This device is also extremely energy-efficient, using just 0.24 femtojoules per calculation—up to a million times more efficient than today’s CPUs or GPUs.

Since it works with current chip technology and can be scaled up, it could lead to big improvements in edge computing and real-time tasks like processing medical signals or even solving math problems directly in hardware.

Image: A demonstration of how ferroelectric domain switching enables differential computations. Credit: Prof. Bobo Tian.

Header image credit: Microsoft Copilot (AI-generated)

Read more at Tech Xplore

Scientific paper: Guangdi Feng et al, In-memory ferroelectric differentiator, Nature Communications (2025). DOI: 10.1038/s41467-025-58359-4

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