Tech
How to archive your photos in the digital age

Wasim Ahmad, Quinnipiac University
Taking photographs used to be a careful, conscious act. Photos were selective, frozen moments in time carefully archived in albums and frames. Now, taking a photograph is almost as effortless and common as breathing – it’s something that people do all the time in the age of smartphone cameras with seemingly endless digital film.
But the downside to capturing every moment is that it creates a mountain of those moments to save for the future. Those photos can be easily lost if they’re not archived properly. All it can take is one accidental dip in the toilet for your phone, and all that data is lost forever.
So what’s a practical backup strategy for the average person? Here are a few ways to make sure memories are never lost:
Cloud storage
The simplest way to archive your photos is cloud storage. For Apple users, there’s iCloud, which starts at US$0.99 per month for 50 gigabytes all the way to $59.99 per month for 12 terabytes with various tiers in between. With an average iPhone photo clocking in at 3 megabytes, that’s a little over 16,000 photos for the cheap plan and 4 million or so for the largest plan. Google’s Google One cloud storage is most cost effective for yearly plans, with 2TB going for $99.99 per year and 5TB going for $249.99 per year.
The actual amount you can store in that space does vary greatly with how a file is shot. Video has larger file sizes than photos. HEIF files, a newer format on Apple phones, compresses files into smaller packages, but long-term compatibility is unknown since the format hasn’t been in use for as long as the standard JPG file, which has been around since 1992.
While cloud services from big providers generally provide the easiest way for most average folks to back up their photos, and operate with little to no intervention via apps that are already on the phone constantly uploading every photo taken, there are risks involved.
Big companies often change their policies about how photos are saved. For instance, depending on what phone and when it was bought, Google’s cloud storage may have saved photos in a “storage saver” format that lowers the quality of images by sizing them down or compressing them differently. This affects your ability to make high-quality prints or view the photos on high-resolution screens down the road. Unless someone is astute enough to notice small text here and there that mentions it, most users won’t even realize it’s happening.
And what happens to cloud services when things go badly wrong? Users of photo backup service Digital Railroad found out the hard way. In 2008, the company abruptly shut down and gave its users 24 hours to download everything before the servers were shut down. Photographers rushed for the exits, trying to grab their photos on the way out, only to strain the servers to the point where few were able to recover anything at all. If this was the only way photos were backed up, it’s a lost cause.
So while the cloud is easy, costs can add up and terms of service can change at a moment’s notice. What are some ways for photographers to control their own fate?
Hard drives and network-attached storage
Manually taking photos off a phone may take some extra time, but the approach offers peace of mind that cloud services can’t necessarily match.
Almost all phones can plug into a computer’s USB port and use the built-in photos app on both Windows or MacOS to download photos to a computer. Apple users can use a method called AirDrop to send photos wirelessly to other Apple devices as well, including laptop and desktop computers.
Now loading photos onto a local hard drive built into the machine can fill it up quickly, but there is a cost-effective way to get around that – namely, external hard drives. Theses are storage devices that you can plug into your computer as needed. They can be of the older and less expensive type with spinning platters or more modern solid-state drives that can survive a drop and greater temperature changes than the older drives can.
These are different than flash drives, more commonly known as thumb drives because of their small size, that are designed as temporary storage to shuffle photos from one place to another.
It’s easy to buy more than one hard drive to have duplicate backups in case of failure or catastrophe, but the downside is that there’s no easy access from the internet to your photos, and backup is generally a process that users must remember to do.
Network-attached storage is one way to solve the cloud storage problem while retaining the ability to access photos from the internet. These are essentially hard drives – sometimes multiple hard drives linked together for even greater or faster storage – that are connected to a router that allows for access to the internet through specialized software.
While not as easy as most third-party cloud storage services, once it’s set up, a network-attached storage unit is a flexible way to store your photos safely and accessibly. There are even companies that specialize in fireproof and waterproof units for extra insurance in case of disaster.
Printing photos
If cloud storage and hard drives seem too complicated, there’s always the old-fashioned approach of printing. There’s still something magical about seeing a photo on a wall or in an album, and thankfully there are ways to print professional-quality archival prints without having to go to a drugstore.
The easiest and most cost-efficient types of printers are dedicated 4×6 printers using a technology similar to professional labs called dye-sublimation. These yield high-quality, waterproof prints that cost about the same as what one would pay for drugstore developing. HP makes its popular Sprocket line of printers, though those require a phone and an app to print from, which makes plugging in a memory card from a professional camera out of the question. However, Canon’s Selphy lineup includes many models with screens and a card slot to make that possible.
The rabbit hole goes very deep, and there are many professional printers that can print even larger sizes. Canon and Epson dominate this space, marketing a range of pigment- and dye-based printers that can emphasize archival needs or color saturation, respectively.
Another option is ordering a photo book, which, as the name suggests, is a physical bound book of your photos. However, photo books are probably more appropriate for memorializing an event – trip, wedding, project – than general archiving, given the typical costs and number of photos involved.
There’s little reason to not make some sort of backups of photos in 2024, whether that’s on printed media, hard drives or in the cloud. The important thing is not which method to use, but to do it at all.
Wasim Ahmad, Assistant Teaching Professor of Journalism, Quinnipiac University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Tech
When ‘Head in the Clouds’ Means Staying Ahead
Head in the Clouds: Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve customer experiences, and accelerate enterprise modernization.
Last Updated on February 7, 2026 by Daily News Staff

When ‘Head in the Clouds’ Means Staying Ahead
(Family Features) You approve a mortgage in minutes, your medical claim is processed without a phone call and an order that left the warehouse this morning lands at your door by dinner. These moments define the rhythm of an economy powered by intelligent cloud infrastructure. Once seen as remote storage, the cloud has become the operational core where data, AI models and autonomous systems converge to make business faster, safer and more human. In this new reality, the smartest companies aren’t looking up to the cloud; they’re operating within it. Public cloud spending is projected to reach $723 billion in 2025, according to Gartner research, reflecting a 21% increase year over year. At the same time, 90% of organizations are expected to adopt hybrid cloud by 2027. As cloud becomes the universal infrastructure for enterprise operations, the systems being built today aren’t just hosted in the cloud, they’re learning from it and adapting to it. Any cloud strategy that doesn’t account for AI workloads as native risks falling behind, holding the business back from delivering the experiences consumers rely on every day. After more than a decade of experimentation, most enterprises are still only partway up the curve. Based on Cognizant’s experience, roughly 1 in 5 enterprise workloads has moved to the cloud, while many of the most critical, including core banking, health care claims and enterprise resource planning, remain tied to legacy systems. These older environments were never designed for the scale or intelligence the modern economy demands. The next wave of progress – AI-driven products, predictive operations and autonomous decision-making – depends on cloud architectures designed to support intelligence natively. This means cloud and AI will advance together or not at all.The Cognitive Cloud: Cloud and AI as One System
For years, many organizations treated migration as a finish line. Applications were lifted and shifted into the cloud with little redesign, trading one set of constraints for another. The result, in many cases, has been higher costs, fragmented data and limited room for innovation. “Cognitive cloud” represents a new phase of evolution. Imagine every process, from customer service to supply-chain management, powered by AI models that learn, reason and act within secure cloud environments. These systems store and interpret data, detect patterns, anticipate demand and automate decisions at a scale humans simply cannot match. In this architecture, AI and cloud operate in concert. The cloud provides computing power, scale and governance while AI adds autonomy, context and insight. Together, they form an integrated platform where cloud foundations and AI intelligence combine to enable collaboration between people and systems. This marks the rise of the responsive enterprise; one that senses change, adjusts instantly and builds trust through reliability. Cognitive cloud platforms combine data fabric, observability, FinOps and SecOps into an intelligent core that regulates itself in real time. The result is invisible to consumers but felt in every interaction: fewer errors, faster responses and consistent experiences.Consumer Impact is Growing
The impact of cognitive cloud is already visible. In health care, 65% of U.S. insurance claims run through modernized, cloud-enabled platforms designed to reduce errors and speed up reimbursement. In the life sciences industry, a pharmaceuticals and diagnostics firm used cloud-native automation to increase clinical trial investigations by 20%, helping get treatments to patients sooner. In food service, intelligent cloud systems have reduced peak staffing needs by 35%, in part through real-time demand forecasting and automated kitchen operation. In insurance, modernization has produced multi-million-dollar savings and faster policy issuance, improving both customer experience and financial performance. Beneath these outcomes is the same principle: architecture that learns and responds in real time. AI-driven cloud systems process vast volumes of data, identify patterns as they emerge and automate routines so people can focus on innovation, care and service. For businesses, this means fewer bottlenecks and more predictive operations. For consumers, it means smarter, faster, more reliable services, quietly shaping everyday life. While cloud engineering and AI disciplines remain distinct, their outcomes are increasingly intertwined. The most advanced architectures now treat intelligence and infrastructure as complementary forces, each amplifying the other.Looking Ahead
This transformation is already underway. Self-correcting systems predict disruptions before they happen, AI models adapt to market shifts in real time and operations learn from every transaction. The organizations mastering this convergence are quietly redefining themselves and the competitive landscape. Cloud and AI have become interdependent priorities within a shared ecosystem that moves data, decisions and experiences at the speed customers expect. Companies that modernize around this reality and treat intelligence as infrastructure will likely be empowered to reinvent continuously. Those that don’t may spend more time maintaining the systems of yesterday than building the businesses of tomorrow. Learn more at cognizant.com. Photo courtesy of ShutterstockCulver’s Thank You Farmers® Project Hits $8 Million Donation MilestoneLink: https://stmdailynews.com/culvers-thank-you-farmers-project-hits-8-million-donation-milestone/
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The Knowledge
Beneath the Waves: The Global Push to Build Undersea Railways
Undersea railways are transforming transportation, turning oceans from barriers into gateways. Proven by tunnels like the Channel and Seikan, these innovations offer cleaner, reliable connections for passengers and freight. Ongoing projects in China and Europe, alongside future proposals, signal a new era of global mobility beneath the waves.

For most of modern history, oceans have acted as natural barriers—dividing nations, slowing trade, and shaping how cities grow. But beneath the waves, a quiet transportation revolution is underway. Infrastructure once limited by geography is now being reimagined through undersea railways.
Undersea rail tunnels—like the Channel Tunnel and Japan’s Seikan Tunnel—proved decades ago that trains could reliably travel beneath the ocean floor. Today, new projects are expanding that vision even further.
Around the world, engineers and governments are investing in undersea railways—tunnels that allow high-speed trains to travel beneath oceans and seas. Once considered science fiction, these projects are now operational, under construction, or actively being planned.

Undersea Rail Is Already a Reality
Japan’s Seikan Tunnel and the Channel Tunnel between the United Kingdom and France proved decades ago that undersea railways are not only possible, but reliable. These tunnels carry passengers and freight beneath the sea every day, reshaping regional connectivity.
Undersea railways are cleaner than short-haul flights, more resilient than bridges, and capable of lasting more than a century. As climate pressures and congestion increase, rail beneath the sea is emerging as a practical solution for future mobility.
What’s Being Built Right Now
China is currently constructing the Jintang Undersea Railway Tunnel as part of the Ningbo–Zhoushan high-speed rail line, while Europe’s Fehmarnbelt Fixed Link will soon connect Denmark and Germany beneath the Baltic Sea. These projects highlight how transportation and technology are converging to solve modern mobility challenges.
The Mega-Projects Still on the Drawing Board
Looking ahead, proposals such as the Helsinki–Tallinn Tunnel and the long-studied Strait of Gibraltar rail tunnel could reshape global affairs by linking regions—and even continents—once separated by water.
Why Undersea Rail Matters
The future of transportation may not rise above the ocean—but run quietly beneath it.
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CES 2026
Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026
Inside the Computing Power Behind Spatial Filmmaking: Hugh Hou Goes Hands-On at GIGABYTE Suite During CES 2026
Spatial filmmaking is having a moment—but at CES 2026, the more interesting story wasn’t a glossy trailer or a perfectly controlled demo. It was the workflow.
According to a recent GIGABYTE press release, VR filmmaker and educator Hugh Hou ran a live spatial computing demonstration inside the GIGABYTE suite, walking attendees through how immersive video is actually produced in real-world conditions—capture to post to playback—without leaning on pre-rendered “best case scenario” content. In other words: not theory, not a lab. A production pipeline, running live, on a show floor.

A full spatial pipeline—executed live
The demo gave attendees a front-row view of a complete spatial filmmaking pipeline:
- Capture
- Post-production
- Final playback across multiple devices
And the key detail here is that the workflow was executed live at CES—mirroring the same processes used in commercial XR projects. That matters because spatial video isn’t forgiving. Once you’re working in 360-degree environments (and pushing into 8K), you’re no longer just chasing “fast.” You’re chasing:
- System stability
- Performance consistency
- Thermal reliability
Those are the unsexy requirements that make or break actual production days.
Playback across Meta Quest, Apple Vision Pro, and Galaxy XR
The session culminated with attendees watching a two-minute spatial film trailer across:
- Meta Quest
- Apple Vision Pro
- Newly launched Galaxy XR headsets
- Plus a 3D tablet display offering an additional 180-degree viewing option
That multi-device playback is a quiet flex. Spatial content doesn’t live in one ecosystem anymore—creators are being pulled toward cross-platform deliverables, which adds even more pressure on the pipeline to stay clean and consistent.
Where AI fits (when it’s not the headline)
One of the better notes in the release: AI wasn’t positioned as a shiny feature. It was framed as what it’s becoming for a lot of editors—an embedded toolset that speeds up the grind without hijacking the creative process.
In the demo, AI-assisted processes supported tasks like:
- Enhancement
- Tracking
- Preview workflows
The footage moved through industry-standard software—Adobe Premiere Pro and DaVinci Resolve—with AI-based:
- Upscaling
- Noise reduction
- Detail refinement
And in immersive VR, those steps aren’t optional polish. Any artifact, softness, or weird noise pattern becomes painfully obvious when the viewer can look anywhere.
Why the hardware platform matters for spatial workloads
Underneath the demo was a custom-built GIGABYTE AI PC designed for sustained spatial video workloads. Per the release, the system included:
- AMD Ryzen 7 9800X3D processor
- Radeon AI PRO R9700 AI TOP GPU
- X870E AORUS MASTER X3D ICE motherboard
The point GIGABYTE is making is less “look at these parts” and more: spatial computing workloads demand a platform that can run hard continuously—real-time 8K playback and rendering—without throttling, crashing, or drifting into inconsistent performance.
That’s the difference between “cool demo” and “reliable production machine.”
The bigger takeaway: spatial filmmaking is moving from experiment to repeatable process
By running a demanding spatial filmmaking workflow live—and repeatedly—at CES 2026, GIGABYTE is positioning spatial production as something creators can depend on, not just test-drive.
And that’s the shift worth watching in 2026: spatial filmmaking isn’t just about headsets getting better. It’s about the behind-the-scenes pipeline becoming stable enough that creators can treat immersive production like a real, repeatable craft—because the tools finally hold up under pressure.
Source:PRNewswire – GIGABYTE press release
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