Samsung’s Galaxy S26 Ultra is here, packing a wealth of upgrades from the design to its fancy new Privacy Display, which aims to keep people from spying on whatever shady things you’re up to on your commute. But the Ultra range has always been where Samsung has unleashed its latest, greatest camera technology, so let’s take a closer look at what’s new for the photographers among you. 

In terms of hardware, not a lot has changed. The main camera has a 200-megapixel resolution, a 50-megapixel ultrawide-angle camera, and 10-megapixel 3x telephoto and 50-megapixel 5x telephoto cameras. Those specs are the same as the previous S25 Ultra, so those of you hoping for a wild overhaul of the cameras to keep pace with Xiaomi’s upcoming 17 Ultra may be disappointed. 

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But there have been some tweaks. The main and ultrawide cameras now have wider apertures, which should help capture more light and be especially useful in low-light situations. In fact, Samsung especially highlighted the improved performance of night mode imagery for both stills and video, with the night video mode employing more advanced software processing for noise reduction and improved colors. 

Speaking of video, it’ll still shoot in 8K and supports Log codecs with built-in LUTs (which is what cinema pros call filters, essentially), which should make the phones more appealing to serious video creators. To show the phone means business, Samsung took a leaf out of Apple’s playbook and filmed and livestreamed its San Francisco launch event using the S26 Ultra.

There’s also a feature called Horizon Lock, which aims to keep the horizon level while shooting video, no matter how you twist and turn your phone. This kind of stabilization exists in action cameras already, and it can be helpful for filming intense action, like if you’re running to keep up as you’re filming your friend skateboarding. 

But because it’s 2026 and AI is the word on every tech company’s lips, many of the major updates come in the form of generative AI. It’s built deep into the camera experience, allowing you to use natural language prompts to edit images, including compositing one element of an image onto another, or even changing the outfit someone in your image is wearing. 

During its Unpacked event, Samsung demoed the features, showing how its AI tools can take a picture of a dog and place it in the arms of a girl in another image. The company also showed how the phone can instantly change a woman’s outfit from a simple shirt to a cosy sweater, and then to a more grungy skater aesthetic.

To be fair, the images looked photo-realistic — at least as far as I could see on the YouTube livestream — though how these tools actually work in everyday use remains to be seen until we spend some time with them. The bigger question is whether you actually need them. I won’t answer that for you, but I will say that I’m disappointed that Samsung is following the trend of using AI gimmicks as the main upgrades for its cameras rather than focusing on taking better pictures in the real world. 

I’ll reserve judgment until I’ve had some time to take images around my beautiful home city of Edinburgh, Scotland. There, I’ll focus on finding out how well the phone can capture photographs I’d want to share with family and friends, not just how easily I can put on a fake sweater. 

Tecno just unveiled a rather intriguing at MWC 2026. The standout feature here is likely the size. Most modular smartphone concepts start bulky and only get bulkier once attaching accessories. Tecno’s base smartphone is just 4.9mm thin, which is significantly thinner than a pencil .

Of course, the size increases with each attached module. However, snapping on the power bank module makes the thickness comparable to a standard modern smartphone. Another key feature here is how these various modular components stick together. Tecno has developed new interconnection technology that uses both magnets and pin connectors. This should make it easy to both attach and remove components.

The company says this phone has been designed to grow with the user through hardware expansion. To that end, Tecno has developed 10 modules. There are various camera lenses and something that looks like a dedicated gaming controller.

While the magnets are for attaching, the pin connectors assist with power delivery. Data transmission between the phone and the modules is handled wirelessly, with the ability to switch between Wi-Fi, Bluetooth and mmWave depending on where the user is located.

There are two colorways for both the phone and the ecosystem of accessories. There’s a silver-aluminum edition and a nifty-looking grey version. This doesn’t matter to actual consumers because, well, it’s just a concept design. It does look like the company’s magnetic attachment technology could make it to some actual products down the line.

Tecno has always been a company that marched to the beat of its own drummer. It has developed a , a model with a and a foldable with a .

The industry hasn’t quite embraced modular smartphones just yet, even though there have been some nifty concept designs. Google’s goes back more than a decade, and the same can be said of that never saw the light of day.

There have been some modular phones released to the real world, but they weren’t nearly as ambitious as Tecno’s concept. LG launched a semi-modular phone , but it . Moto has also released a , but they didn’t set the world on fire.

The Sea-Scan research team from Trinity College Dublin has been awarded the Defence Innovation Challenge top prize, for its AI-enhanced real-time vessel detection system.

Given the growing threats to subsea communications and energy infrastructure, the need for continuous, reliable monitoring of Ireland’s maritime environment has come to the fore in recent years. This was reflected in the winning project at today’s announcement.

This morning (25 February), Irish Minister for Further and Higher Education, Research, Innovation and Science James Lawless, TD and Minister for Defence Helen McEntee, TD announced more than €1.8m in prize phase funding under the co-funded Research Ireland – Defence Innovation Challenge, with Trinity College Dublin-based project Sea-Scan winning the top award.

The Sea-Scan research team is working on a next-generation maritime situational awareness project to strengthen Ireland’s naval security. The Mash – Mobile Adaptable Shelter – team, led by Dr Daniel McCrum and Dr Kevin Roche from University College Dublin and Defence Forces liaison Captain Dave McKenna, was awarded runner-up funding.

Ireland’s ability to monitor maritime activity, including the detection of so-called “dark” vessels, has been much in the headlines in recent year, with fears over our ability to adequately protect the subsea cables that are the backbone of our international communications.

Sea-Scan will develop an AI-enhanced real-time vessel detection system to support early warning and improved situational awareness, while it also offers potential applications in environmental monitoring. The Sea-Scan team is led by Prof Marco Ruffini and Dr John Kennedy from Trinity College Dublin and Defence Forces liaison Commander Cathal Power. The prize funding was awarded under the Maritime Situational Awareness Challenge.

“Challenge-based research funding encourages researchers to work directly with those most affected by the problems they seek to address,” said Dr Diarmuid O’Brien, CEO of Research Ireland. “The teams being funded today have developed their solutions through close collaboration with Defence Forces personnel. The Sea-Scan team are developing a high-quality solution to a complex problem that will deliver a transformational capability for the Irish Defence Forces.”

“Maintaining strong awareness of activity in Ireland’s maritime domain is essential, particularly given the country’s role as an island nation and a key Atlantic gateway for digital connectivity,” said Ruffini.

“As subsea communications and energy infrastructure continue to grow in strategic importance, so too does the need for continuous, reliable monitoring of the surrounding maritime environment.”

Ruffini says the Sea-Scan team has demonstrated the potential to detect and characterise vessel activity using existing subsea fibre infrastructure, “showcasing a robust sensing capability embedded within operational communications assets and enabling effective vessel monitoring and subsea infrastructure protection”.

“The prize‑winning projects demonstrate how cutting‑edge research can deliver practical, real‑world solutions that strengthen national security while driving technological innovation,” said Lawless.

“Innovation is critical to ensuring our Defence Forces have the tools they need to operate effectively in an increasingly complex environment,” said McEntee. “This investment reflects our commitment to modernising defence capabilities and embracing innovative solutions for the future.”

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When Alan Cole saw Elon Musk fans eagerly bidding up a contract on the prediction market Kalshi that the Department of Government Efficiency (DOGE) could effectively reduce federal spending in a year, he knew he had to take the bet, according to a story about Cole’s winnings in the Wall Street Journal.

If Cole, an international tax accountant, knew anything in life it was this: federal spending couldn’t be quickly whacked, he told the WSJ. Even if DOGE nixed some federal contracts and laid off workers (which it did), plenty of remaining obligations and the skyrocketing federal debt would remain.

So, he wagered his entire life savings — over $342,000 — to take the counter bet that the U.S. federal budget wouldn’t insta-shrink. He slowly amassed 3% of a Kalshi prediction market that had grown to $12 million (making a few hedging bets along the way), he told the WSJ.

When the government released the 2025 year-end spending report on February 20, showing increases compared to 2024, Cole walked away with $470,300 and a handsome $128,000 profit.

Japan’s SoftBank will be the first to deploy the new SN50 chips, while Intel is partnering with SambaNova to roll out its Intel-powered AI cloud.

Intel-backed Nvidia rival SambaNova has raised $350m in a Series E round led by Vista Equity Partners and Cambium Capital, with strong participation from Intel Capital.

Reuters was first to report the planned raise earlier this month. While details of the investment were not disclosed at the time, sources had told the publication that Intel Capital’s contribution would be around $100m, with potential commitments of up to $150m.

Other participants in the round included Gulf Development, Assam Ventures, Battery Ventures, Atlantic Bridge, GV and BlackRock.

According to SambaNova, proceeds from the raise will be used to expand the production of the company’s newly introduced SN50 chip – touted to deliver “the best tokens per watt” – as well as to scale ‘SambaCloud’ and deepen enterprise software integrations.

SoftBank will be the first to deploy SN50 within its AI data centres in Japan, powering inference services for sovereign and enterprise customers across the Asia-Pacific.

Intel has close ties with the 2017-founded SambaNova, with CEO Lip-Bu Tan serving as chairperson on SambaNova’s board. Alongside the raise, the two companies have also jointly announced a multi-year collaboration to deliver cost-efficient AI inference solutions for AI companies, model providers, enterprises and governments worldwide.

As part of the collaboration, Intel is making a strategic investment in SambaNova to accelerate the rollout of an Intel-powered AI cloud.

“AI is no longer a contest to build the biggest model,” said Rodrigo Liang, co‑founder and CEO of SambaNova.

“With the SN50 and our deep collaboration with Intel, the real race is about who can light up entire data centres with AI agents that answer instantly, never stall, and do it at a cost that turns AI from an experiment into the most profitable engine in the cloud.”

The company positions itself as a rising competitor looking to take some of Nvidia’s gigantic share in the AI chips market. Liang, who previously worked as an executive at cloud provider Oracle, said in 2024 that Nvidia had “lost some of its sheen” and that “rivals are biting at its heels”.

Kevork Kechichian, the executive vice-president and general manager for Intel’s data centre group, said: “Customers are asking for more choice and more efficient ways to scale AI.

“By combining Intel’s leadership in compute, networking and memory with SambaNova’s full-stack AI systems and inference cloud platform, we are delivering a compelling option for organisations looking for GPU alternatives to deploy advanced AI at scale.”

Other companies are also looking for alternatives to Nvidia. Meta yesterday (24 February) said that it would buy billions of dollars’ worth of AMD’s chips to develop AI tech and power new data centres. The deal could see Meta taking a stake of up to 10pc in AMD.

Earlier this month, Cerebras Systems, which also positions itself as a rival to Nvidia, raised $1bn in a Series H round led by Tiger Global with participation from AMD. In January, Cerebras and its early backer OpenAI announced a partnership to deploy 750MW of Cerebras’s wafer-scale systems to make OpenAI’s chatbots faster.

Positron, another Nvidia competitor that offers energy-efficient AI chips for inference, raised $230m from Arm Holdings and the Qatar Investment Authority in recent weeks, taking its valuation above $1bn.

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Wearables startup CUDIS is launching its newest series of health rings this week. The updated ring comes equipped with a number of features, including an AI “agent coach” designed to keep users on track to attain their fitness goals.

CUDIS says it differentiates itself from other wearables by not just delivering health metrics but also incentivizing healthy behavior through a points system. Users garner digital “health points” for healthy behaviors — things like daily sleep, 10,000 steps every day, sports activities, and conversations with the ring’s AI coach — which can then be redeemed through an integrated marketplace for discounts on health supplements and other products.

The ring’s AI Agent Coach, meanwhile, is designed to leverage generative AI to aid with healthy programs for exercise and daily health. The company says that its agent generates tailored programs including “daily tasks, recovery protocols, supplement recommendations, and direct referrals to licensed medical professionals.”

The ring also tracks a host of body metrics and daily behaviors, such as sleep quality, stress management, movement, and recovery. This helps them see how these metrics affect their Pace of Aging (PoA), showing whether their body is aging faster or slower than their chronological age, the company explains.

CUDIS CEO and co-founder Edison Chen told TechCrunch that since his company’s first wearable was launched in 2024, the company has sold over 30,000 units across its first two models. The app’s user base has also grown to 250,000 users across 103 countries, he added.

“Our strongest markets so far have been North America, Europe, and Asia,” Chen said. “What we’re good at is pattern recognition for healthy people trying to optimize,” Chen told TechCrunch.

“The AI spots when you’re trending in the wrong direction, such as chronic poor sleep, declining HRV, elevated resting heart rate, and either suggests lifestyle changes or connects you to a professional. The control is in the escalation pathway to the right care access,” he said.

The company claims that it keeps user data encrypted and secure via the Solana blockchain. It has previously been described as a “web3 AI wellness company.” (TechCrunch was not able to test the smart ring directly to verify its security claims.)

CUDIS announced $5 million of seed funding in 2024. The round was led by Draper Associates and included a number of other investors, including a number of blockchain-associated investor groups like Skybridge, DraperDragon, Monke Ventures, and Foresight Ventures, among others. The company also plans to launch a Kickstarter soon.

In San Francisco, it feels like OpenClaw is everywhere. Even, potentially, some places it’s not designed to be. According to posts on social media, people appear to be using the viral AI tool to scrape websites and access information, even when those sites have taken explicit anti-bot measures.

One of the ways they are allegedly doing this is through an open source tool called Scrapling, which is designed to bypass anti-bot systems like Cloudflare Turnstile. While Scrapling, which was built with Python, works with multiple types of AI agents, OpenClaw users appear to be particularly fond of the software. On Monday, viral posts promoting Scrapling as a tool for OpenClaw users started to spread on X. Since its release, Scrapling has been downloaded over 200,000 times.

“No bot detection. No selector maintenance. No Cloudflare nightmares,” reads one viral post this week about the open source tool. “OpenClaw tells Scrapling what to extract. Scrapling handles the stealth.”

Cloudflare is not enthused. The company already blocked previous versions of Scrapling, since users of the open source software kept trying to get around anti-scraping protections. This week, the company was working on a patch for Scrapling’s most recent iteration. “We make changes, and then they make changes,” says Dane Knecht, chief technology officer at Cloudflare. He says the company’s trove of website data and its ability to track trends has given it the upper hand.

“We already had a signal that they’re starting to get a higher ability to get around us,” says Knecht. “The team of security operations engineers had already been working on a new set of mediations.”

Large language models were trained on the corpus of the internet—and the process involved a lot of scraping. In some sense, Scrapling users are following in the footsteps of the original model builders, but on a more individualized scale.

Over the past few years, website owners have attempted to put up additional anti-bot protections, either to block software like Scrapling or to find a way to make money off of the bots trying to access their sites. In turn, Cloudflare has been working overtime to keep blocking increasingly powerful bots attempting to get around these protections.

In July 2024, Cloudflare started to offer its customers additional tools that block AI crawlers, unless the bots pay for access. In less than the span of a year, the company claims to have blocked 416 billion unsolicited scraping attempts.

“I Didn’t Know What I was Getting Into”

As Scrapling gained traction in recent days, crypto enthusiasts capitalized on the attention by launching a $Scrapling memecoin. Karim Shoair, who claims to be the sole developer of Scrapling, posted about the memecoin on X (those posts have since been deleted). After the price skyrocketed for around five hours, $Scrapling quickly fell off a cliff as users sold off their stakes. “Bunch of fucking scammers,” reads one comment on the Pump.Fun site that hosts the coin.

“I didn’t know what I was getting into when people made that coin and I endorsed it,” says Shoair, in a direct message with WIRED. “But once I knew, I didn’t want any association with it and the money I withdrew before will go to charity, I won’t benefit from it in anyway. Or maybe just leave it to be wasted.”

In the fallout of this event, the unofficial GitHub Projects Community account, which has over 300,000 followers on X, deleted its posts from this week highlighting Scrapling’s open source software, and appeared to distance itself from the project. “We do not support, promote, or engage in crypto assets, token offerings, trading activity, or crypto-based fundraising,” it said in a post late Monday night.

Putting the crypto forays aside, most software leaders continue to see agents and autonomous AI tools as the future of the web. Even Knecht from Cloudflare, whose work includes blocking bots from nonconsensual scraping, wants to build toward a world where humans and agents benefit from online data and the wishes of website owners are respected. “I see a path forward for an internet that is both friendly to agents and humans,” he says.

This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.

If you want to excel in the robotics field, these programming languages can get you there.

Coding skills are a valuable and often crucial skill for professionals in the STEM space, even in the wake of ‘vibe-coding’ and AI advancements. For those who want to work in the area of robotics, an in-depth knowledge of the uses of programming and an education in more than one language can give a professional an edge.

But more often than not, there are far too many to get through before you find the ones that best suit your ambitions. With that in mind, what are some of the programming languages that tend to go hand-in-hand with a career in robotics.

For beginners

We all start somewhere, so whether you are an enthusiast, a beginner or an established professional, you should have a knowledge of a standard or starter language that can help you get to the next phase.

Python is one such language. Considered accessible, easy to learn, versatile and with a wealth of online resources available, pretty much anyone who wants to learn this language can – if they put in the time. Education platform Coursera notes that in robotics, Python is particularly useful in scripting robot behaviours, quickly building prototypes and in elements requiring artificial intelligence, such as systems that integrate predictive analytics or use machine learning algorithms.

There is no reason that your chosen programming language, to aid a robotics career, can’t be funky as well as functional. If you want a language a little off the beaten track that offers a more unique learning experience, consider Scratch. It is aimed at younger learners and complete beginners, so if you are only at the start of your educational journey, it can be of real help in developing early and foundational skills. This graphical programming language developed by the MIT Media Lab, offers a simple interface, where students can create digital stories, games and animations, improve their conceptual and computational thinking and develop their problem-solving abilities.

High performance

For the professionals or enthusiasts looking for a coding language that packs some punch, there are a number of programs considered to be high performers.

C++ is in this category. An object-oriented language, C++ is regarded as a strong foundation for robotics engineers and those who work in the hardware ecosystem and can be useful to those interested in competitive robotics or embedded systems. Advantages include strong cross-platform support, high execution efficiency, and concise and flexible low-level control.

Another high performer is the less commonly-used Rust. This systems-level language emphasises memory safety and performance, two highly critical aspects of working with robotics software. It has been compared to C++ in CPU-intensive tasks and is an ideal language for those wanting a bit of a challenge in the name of progress and reliability. 

Another high-level language to consider is MATLAB, which is typically used for numerical computation, for example, in work involving linear algebra, data analysis and algorithm development. MATLAB is commonly used by academics, researchers and developers and can be used to create detailed robotic models. Anyone who wants to learn MATLAB can, but it is primarily suited to academic researchers, control systems engineers and those working in labs or companies using MATLAB for rapid iteration. 

Features

So, what makes up a ‘good robotics language’? In truth, that is like asking, ‘how long is a piece of string’? The answer really depends on your own professional needs and ambitions. That being said, there are a number of features and characteristics that often jump out as being important for a programming language used primarily in the robotics space. 

Performance is one such element that is critical in robotics. Experts tend to use a high volume of data and have to make quick decisions, so high performance is important. Ease of use, especially for those just starting off, is also important, as students and professionals often depend on a simple interface and a large community of peers. The robotics space is ever-evolving so flexibility is a key feature, as is easy access to support and resources when needed. 

Anyone looking to boost their coding skills should make sure to check out local groups and organisations, attend industry events, engage with online learning opportunities and if a more in-depth approach is required, consider in-person courses at relevant third-level institutions. 

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