The 5-Minute iPhone Setting Change That Improves Your Phone Instantly


Our phones can be draining and distracting devices –– but there are small, surprising ways their built-in settings can actually be pleasantly fun.

One of my favorite iPhone features is a simple sentimental feature you might not know about: iPhone’s Photo Shuffle feature, which has been available for phone lock screens since the iOS 16 software update.

Once you use it, your phone’s background wallpaper is not just a static portal –– it can be a nostalgic living photo album of your favourite memories. Your phone background can toggle among your beloved pets or family members as often as you wish.

This is one small tweak you can do to make your phone a little more fun to look at each day.

How To Use iPhone Photo Shuffle Feature

To use Photo Shuffle, go to your iPhone Settings, then select Wallpaper and choose to “Add New Wallpaper.” From there, you will tap the Photo Shuffle feature and pick among the preselected options of featured people, like your kids, pets, nature, cities or whole albums that your phone has highlighted from your camera roll. You also have the option to select photos manually.

This way, you can customise the feature to be as strict as you want about what people or photos you do and don’t want popping up on your home screen if an ex or memory would be an unwanted surprise. If you end up seeing a photo that is no longer sweetly sentimental, you can also go back to this Photo Shuffle feature to unselect the album or photo.

Before the Photo Shuffle goes live, you will also choose Shuffle Frequency options of “on tap,” “on lock,” “hourly” or “daily.” So if you are a grandparent and want to give each of your grandchildren their day to shine on your lock screen, you can choose “daily,” or if you want to remember past sunnier vacations during stormier seasons, you could go with “on tap” and be surprised each time you use your phone. If you choose an album you update frequently, your wallpaper can become a live slideshow of your recent past. You might even be pleasantly surprised about what family vacation or new hobby will come across your screen.

Android users have a similar photo-shuffling feature known as “Screen Saver” in Settings. To turn it on, go to “Display & Touch” and then select “Screen Saver,” where you can choose photos or photo albums that your phone can cycle through when your phone is charging.

Of course, some people want to purposefully make their phone less pleasant to use in order to reduce screen time. There are merits in making your phone display only black and white if you want to use your phone as little as possible, for example.

But for those of us who must use our devices regularly, it can be fun to inject some whimsical surprise into our days. So if you find yourself bracing to see bad news on your latest notification alert, try switching up your lock screen background with something that you would look forward to seeing in stressful times.




Hidden signal shifts in GPS and BeiDou revealed and stabilized | Newswise


Newswise — Global Navigation Satellite Systems (GNSS) transmit extremely weak signals that are vulnerable to interference and intentional jamming. Flex power technology allows ground controllers to redistribute signal energy, strengthening specific transmissions without increasing total satellite power. While this improves anti-interference capability, it also alters signal characteristics and introduces unexpected errors into high-precision positioning processes. Variations in signal strength can affect parameters such as code bias, satellite clock offset, and ionospheric corrections, potentially degrading positioning accuracy. Existing detection approaches remain limited, especially for the rapidly evolving BDS, and conventional processing models struggle to adapt to dynamic signal behavior. Based on these challenges, in-depth research is needed to understand and mitigate the impacts of flex power on satellite navigation performance.

Researchers from Space Engineering University, the Beijing Institute of Tracking and Telecommunications Technology, the Shanghai Astronomical Observatory of the Chinese Academy of Sciences, Henan Polytechnic University, Shandong University of Science and Technology, and Wuhan University reported the findings (DOI: 10.1186/s43020-026-00190-3) in Satellite Navigation (2026) a comprehensive investigation into flex power operations in the GPS and the BDS. The study analyzed operational modes, developed a new detection method combining signal-to-noise measurements with hardware delay indicators, and evaluated impacts across positioning algorithms. Published in 2026, the work presents an integrated framework designed to maintain resilient PNT services under dynamically changing satellite signal conditions.

The team first examined how flex power redistributes signal energy across satellite channels. Unlike normal operations, flex power produces step-like variations in carrier-to-noise ratios, creating detectable signatures in observation data. Building on this insight, researchers proposed a dual-indicator detection approach combining carrier-to-noise density (C/N₀) measurements with hardware delay variations. This method significantly reduces false alarms while enabling accurate detection across both GPS and BDS.

The study then evaluated how flex power influences multiple components of high-precision navigation. Results showed that GPS signals remain relatively stable, whereas BDS satellites exhibit stronger sensitivity, with noticeable changes in code bias and observation consistency. To address these disruptions, the researchers introduced “resilient” estimation strategies that dynamically adjust processing models in response to flex power events.

New algorithms were developed for code bias correction, satellite clock offset estimation, and phase bias modeling, allowing navigation systems to switch seamlessly between normal and flex-power states. The framework also improves ionospheric modeling accuracy by compensating for signal fluctuations that traditional models treat as constant. Validation experiments demonstrated improved continuity and stability in Precise Point Positioning (PPP), confirming that navigation accuracy can be preserved even during active signal power redistribution.

According to the researchers, resilient positioning is becoming essential as satellite systems adopt more adaptive signal strategies. Flex power enhances anti-jamming capability but fundamentally changes signal behavior, meaning traditional static models are no longer sufficient. The team emphasized that detecting flex power in real time and adapting processing algorithms accordingly represents a key step toward next-generation integrated PNT systems. By linking signal monitoring with adaptive estimation, the approach ensures that navigation services remain reliable for both civilian and scientific users operating in challenging electromagnetic environments.

The proposed framework has broad implications for aviation navigation, autonomous transportation, disaster monitoring, and precision timing infrastructure. As GNSS systems increasingly employ adaptive transmission strategies to counter interference, resilient processing methods will be critical for maintaining uninterrupted services. The study’s detection and correction strategies could be integrated into global monitoring networks and next-generation GNSS receivers, improving robustness without requiring hardware changes. Beyond GPS and BDS, the methodology may also support future multi-constellation navigation systems, contributing to more secure and dependable global positioning services. Ultimately, the work advances the transition from static navigation models toward adaptive, interference-resilient satellite navigation architectures.

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References

DOI

10.1186/s43020-026-00190-3

Original Source URL

https://doi.org/10.1186/s43020-026-00190-3

Funding information

This research was funded by Scientific Research Key Laboratory Fund (Grant No. SYS-ZX02-2024-01).

About Satellite Navigation

Satellite Navigation (E-ISSN: 2662-1363; ISSN: 2662-9291) is the official journal of Aerospace Information Research Institute, Chinese Academy of Sciences. The journal aims to report innovative ideas, new results or progress on the theoretical techniques and applications of satellite navigation. The journal welcomes original articles, reviews and commentaries.




LLNL and Meta Co-Develop Future of Materials with Groundbreaking Polymer Chemistry Dataset for Training AI Models | Newswise


Newswise — Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials and electronics. Advances in polymer science open pathways for recycling and upcycling waste materials into more valuable chemical feedstocks. They also can have an outsized environmental impact: many widely used polymers are Per- and Polyfluoroalkyl Substances (PFAS), widely recognized as “forever chemicals.”

In a pioneering partnership to accelerate materials discovery with artificial intelligence (AI), researchers from Lawrence Livermore National Laboratory (LLNL) and Meta have created the world’s largest open dataset of atomistic polymer chemistry — a trove of millions of quantum-accurate simulations designed to help AI model the complex behavior of plastics, films, batteries and countless everyday materials.

In a recent paper, the team details Open Polymers 2026 (OPoly26) – a dataset with an unprecedented number and diversity of polymer structures with corresponding simulations performed at quantum accuracy. OPoly26 is a massive reference library that enables AI to learn patterns from millions of pre-computed polymer structures in hours or days, addressing a longstanding gap in polymer data and laying the foundation for safer, faster and more sustainable materials design. The OPoly26 paper formalizes the dataset’s release and demonstrates how the data improves the performance of machine-learned interatomic potentials (MLIPs) on polymer materials.

The work builds on the Meta and Lawrence Berkeley National Laboratory (LBNL)-led      Open Molecules 2025 (OMol25) Dataset, which is making waves with its sweeping collection of open molecular data aimed at advancing AI-driven chemistry. The OPoly26 dataset contains more than 6 million density functional theory (DFT) calculations on polymeric chemical systems, making it nearly ten times larger than the next largest comparable polymer dataset.

LLNL’s partnership with Meta — described by LLNL materials scientist and OPoly26 co-principal investigator (PI) Evan Antoniuk as a “natural fit” — seeks to address this shortfall. By generating critical missing data on polymers with the shared goals of expanding and democratizing open datasets for materials scientists, the team hopes to accelerate the pace of discovery across polymer chemistry.

“This fills a huge gap,” said Antoniuk. “We see this as a community resource, one that we hope becomes the go-to starting point for anyone interested in performing atomistic simulations of polymers.”

LLNL contributed significant computational power and polymer domain knowledge — generating a diverse set of polymer structures and running simulations to help model how these polymers behave in real-world conditions. In turn, Meta contributed vast computational resources to perform 1.2 billion core hours of DFT simulations and train state-of-the-art MLIP models, leveraging the expertise that had already been refined during their earlier molecular effort.

“Meta’s partnership with LLNL demonstrates how open science and AI can accelerate breakthroughs in materials research,” said Rob Sherman, vice president of policy at Meta. “By making this dataset publicly available, we’re giving scientists potent new tools to address critical challenges in healthcare and beyond.”

LLNL is uniquely positioned to generate the OPoly26 dataset at the scale and fidelity required. Researchers tapped into LLNL’s Tuolumne, the world’s 12th fastest supercomputer and companion to the exascale El Capitan, leveraging this hardware with their collective expertise to compress years of simulation work into months and enabling the dataset to reach a scale unmatched in polymer science.

“Comprehensive coverage of this chemical space is essential to the success of the OPoly26 dataset,” said LLNL staff scientist Nick Liesen. “We have worked to leverage pipelines that take us from a simple text string to fully atomistic representations of polymer dynamics at scale.”

Beyond performing all the DFT calculations, researchers at Meta trained and benchmarked machine-learned interatomic potentials at scale, enabling the team to evaluate how well AI models generalize across small-molecule and polymer chemistry. The paper reports substantial improvements in model accuracy when polymer data is incorporated alongside small-molecule training sets, highlighting the importance of training AI on data that reflects real-world complexity.

Understanding why certain polymers, including PFAS-based materials, resist chemical change requires models that can accurately describe both reactive and nonreactive behavior. Capturing this behavior under realistic conditions required careful attention to reactive configurations, according to LBNL chemist and OPoly26 co-PI Sam Blau, who also previously co-led OMol25.

“Reactivity — the breakage and formation of chemical bonds — is central to polymer synthesis, manufacturing, aging and recycling, and to nanoscale patterning of polymer thin films for semiconductor manufacturing,” said Blau. “By going beyond stable structures and explicitly sampling hundreds of thousands of reactive configurations, we aim to accurately describe the reactive events that often govern polymer behavior under real-world conditions.”

Beyond outlining how the dataset was generated and performing standard tests of MLIP performance, the OPoly26 paper also introduces an initial suite of polymer-specific evaluation tasks to benchmark how effectively these models capture simulated polymer phenomena and interactions, such as polymer solvation. Future work will include evaluating the MLIP models against experimental measurements, offering a gauge of how well they can capture real-world polymer properties.

“LLNL’s significant investment in high-performance scientific computing and computational materials science capabilities have been critical to achieving the scale needed to cover many thousands of distinct chemical structures,” said LLNL Materials Science Division Leader Ibo Matthews. “That scale is essential not only for generating the data, but for rigorously evaluating how well AI models perform across the full range of polymer behaviors relevant to real-world applications.”

With a focus on open collaboration, the team is making all data publicly available to fuel polymer advancements across academia, industry and government. The authors also emphasized that OPoly26 is being released under an open license to maximize reuse and reproducibility. Through this open approach, the partnership ensures that the benefits of this public-private investment flow broadly across the entire research community.

The team includes LLNL scientists Brian Van Essen, James Diffenderfer, Helgi Ingolfsson and Supun Mohottalalage, and polymer simulation experts Amitesh Maiti and Matt Kroonblawd from the Lab’s Materials Science Division. Co-authors also included LBNL’s Nitesh Kumar and Lauren Chua. Blau and Kumar’s work was funded by the Center for High Precision Patterning Science (CHiPPS), while Chua was supported by her DOE Computational Sciences Graduate Fellowship. LLNL’s Laboratory Directed Research and Development program funded the LLNL researchers.

This partnership was made possible through a data transfer agreement, facilitated by LLNL’s Innovation and Partnerships Office (IPO). IPO is the Laboratory’s focal point for industry engagement and facilitates partnerships to deliver mission-driven solutions that support national security and grow the U.S. economy. To connect with LLNL on industrial partnerships in Advanced Computing, AI and Quantum technologies, contact IPO Business Development Executive Clarence Cannon.




5 unresolved questions hanging over the Anthropic–Pentagon fracas: ‘It’s all very puzzling’


Anthropic co-founder and CEO Dario Amodei speaks on an artificial intelligence panel during Inbound 2025 Powered by HubSpot at Moscone Center on in San Francisco, Sept. 4, 2025.

Chance Yeh | Getty Images Entertainment | Getty Images

Defense Secretary Pete Hegseth’s decision to label Anthropic a “Supply-Chain Risk to National Security” on Friday resulted in more questions than answers.

“It’s all very puzzling,” Herbert Lin, a senior research scholar at Stanford University’s Center for International Security and Cooperation, told CNBC in an interview.

Anthropic is the only American company ever to be publicly named a supply chain risk, as the designation has traditionally been used against foreign adversaries. But the company hasn’t received any official declaration beyond social media posts.

A formal designation will require defense vendors and contractors to certify that they don’t use Anthropic’s models in their work with the Pentagon.

The dispute centered around how Anthropic’s artificial intelligence models could be used by the military. The Department of Defense wanted Anthropic to grant the agency unfettered access to its Claude models across all lawful purposes, while Anthropic wanted assurance that its technology would not be tapped for fully autonomous weapons or domestic mass surveillance.

With no agreement reached by Friday’s deadline, President Donald Trump directed federal agencies to “immediately cease” all use of Anthropic’s technology, and said there would be a six-month phaseout period for agencies like the DOD.

Experts told CNBC the supply chain risk designation is highly unusual, especially since the U.S. and Israel began carrying out strikes in Iran just hours later. A group of retired defense officials, policy leaders and executives wrote to Congress on Thursday, defending Anthropic and calling the Trump administration’s designation a “dangerous precedent.”

Anthropic’s models are still being used to support U.S. military operations in Iran, even after the company was blacklisted, as CNBC previously reported.

Talks between Anthropic and the DOD are now reportedly back on, according to the Financial Times, but there are still big questions hanging over the issue as of Thursday.

Why is the U.S. government still using Claude?

Stanford’s Lin doesn’t understand why the DOD is still using Anthropic’s models in sensitive settings if they pose such a threat. If the Trump administration really sees Anthropic as a risk to national security, he said, it wouldn’t make sense to phase out the models over an extended period of time.

“OK, wait a minute, they’re a really dangerous player for U.S. national security, so you’re going to use them for another six months? Huh?” Lin said. 

Michael Horowitz, a senior fellow for technology and innovation at the Council on Foreign Relations, said it’s “especially notable” that Anthropic’s models were used to support the U.S. military action in Iran. He said “there’s no clearer signal” of how much the Pentagon values the technology.

“Even in a situation where there is this intense feud between the company and the Pentagon, they are using their technology in the most important military operation that the United States is conducting,” he said. 

Transitioning away from Anthropic toward a new vendor takes time and comes at a significant cost in terms of efficiency, said Jacquelyn Schneider, a Hargrove Hoover fellow at Stanford University’s Hoover Institution.

Until recently, Anthropic was the only AI company approved to deploy its models across the agency’s classified networks. OpenAI and Elon Musk’s xAI received clearance, but their systems can’t be deployed or adopted overnight.

What’s the actual threat?

The Anthropic logo appears on a smartphone screen with multiple Claude AI logos in the background. Following the release of Claude Opus 4.6 on February 5, Anthropic continues to challenge its main competitors in the generative AI market in Creteil, France, on February 6, 2026.

Samuel Boivin | Nurphoto | Getty Images

By designating Anthropic a supply chain risk, the DOD is suggesting that the company is really bad” for U.S. national security, Lin said. But he stressed that the agency hasn’t clearly outlined what kind of threat the company poses. 

“They don’t point to any technical failing, they don’t point to any hack,” Lin said. “They say things like ‘They’re arrogant,’ and ‘We don’t want you telling the DoD what to do in some hypothetical situation that hasn’t happened yet.'”

Lin said the other punishment that Hegseth was threatening to impose on Anthropic, invoking the Defense Production Act, also contradicts the idea that the company threatens national security. 

The Defense Production Act allows the president to control domestic industries under emergency authority when it’s in the interest of national security. It could essentially compel Anthropic to let the Pentagon use its technology. 

Horowitz said he thinks the clash between Anthropic and the DOD is “masquerading” as a policy dispute. 

Months earlier, venture capitalist and White House AI and crypto czar David Sacks criticized the company for “running a sophisticated regulatory capture strategy based on fear-mongering,” after an essay published by an executive, and conservatives have repeatedly accused Anthropic of pushing “woke AI.”

Anthropic CEO Dario Amodei took a different approach than other tech executives, avoiding getting cozy with the Trump administration in its early days.

“This feels to me like a dispute that is about politics and personalities,” Horowitz said. 

Is an official designation on the way?

U.S. Defense Secretary Pete Hegseth walks on the day of classified briefings for the U.S. Senate and House of Representatives on the situation in Iran, on Capitol Hill in Washington, D.C., U.S., March 3, 2026.

Kylie Cooper | Reuters

Anthropic hasn’t been designated a supply chain risk by any official measure, and there’s an open question as to if or when the company should expect one. Defense contractors have to decide whether they will follow Hegseth’s directive on social media or wait for more formal guidance. 

Several executives told CNBC that their companies are moving away from Anthropic’s models, and a venture capitalist said a number of portfolio companies are switching “out of an abundance of caution.” But others, including C3 AI Chairman Tom Siebel, said he doesn’t see a “need to mitigate” the technology “until it gets litigated.” 

Schneider said businesses are rational, and if they think it’s high risk to work with Anthropic, whether it’s formally declared a supply chain risk or not, they’re going to hedge and look for other partners.

“There’s all sorts of decisions that have been made within the Trump administration that, by law, require more codification,” Schneider said. “Even the example of moving from DoD to [Department of War]. That by law needs more codification, but all the contractors are using DoW.”

Even so, Samir Jain, vice president of policy at the Center for Democracy and Technology, said social media posts likely aren’t enough to actually cause a designation.

“There’s a process that the statute requires, including an actual finding that Anthropic presents national security risks if it’s part of the supply chain,” he said in an interview. “I don’t think, factually, that that predicate could possibly be met here.”

Anthropic said in a statement Friday that it will challenge “any supply chain risk designation in court.”

Does this have anything to do with the U.S. strikes on Iran?

Smoke rises from Israeli bombardment on the southern Lebanese village of Khiam on March 4, 2026.

Rabih Daher | Afp | Getty Images

For Schneider, the war in Iran now looms large over the spat between Anthropic and the DOD. She said she’s left wondering whether the two conflicts were happening in parallel, or if they were somehow related. 

“Obviously, you’re not going to walk away from technologies that are deeply embedded in your wartime processes right before you go to war,” Schneider said.

She said planning a military operation of that magnitude would have required “a lot of sleepless nights,” so she was surprised the DOD was willing to spend such a “remarkable amount of energy” on a public clash ahead of the initial attack.

What happens next?

As the war in Iran stretches into its sixth day, Anthropic’s path forward with the DOD remains a big mystery.  

Horowitz said he would bet that the six-month off-boarding period will become a “a locus for some re-examination” within the Pentagon, especially since members of Congress and broader public markets have shown so much interest in the dispute. 

Lin expressed a similar sentiment, and said he wouldn’t bet on Anthropic’s models being out of the DOD a year from now.

Schneider is less convinced. 

“I wish I had a more definitive thought about where this is all going to go, but everything is so unprecedented,” she said. When it comes to historical examples or analogous cases, Schneider said: “I don’t have those. It’s just super limited.”

The DOD declined to comment. Anthropic didn’t provide a comment.

WATCH: Anthropic tops $19 billion in annual revenue rate

5 unresolved questions hanging over the Anthropic–Pentagon fracas: ‘It’s all very puzzling’


KRICT Launches Equipment Training for Uzbek Chemical Researchers | Newswise


Newswise — Korea Research Institute of Chemical Technology (KRICT, President Young-Kuk Lee) announced that it has officially launched a research equipment training program for Uzbekistan researchers under a grant aid project supported by the Korea International Cooperation Agency (KOICA). The opening ceremony was held on February 23 at KRICT’s Didimdol Plaza, marking the start of the full-scale capacity-building program.

The ceremony formally introduced the “Research Equipment Invitational Training” program, a core component of the “Establishment and Capacity-Building Project of The Center of Chemical Technology in Uzbekistan.” Approximately 30 participants attended the event, including representatives from KRICT and KOICA project members, as well as Uzbek researchers in the field of chemistry. Participants shared the background and operational plans of the program and reaffirmed their commitment to close cooperation for its successful implementation.

The training program is a key human resource development initiative under the same capacity-building project. From February 22 to May 22, 2026, a total of 20 Uzbek researchers in the chemical field will participate in an intensive three-month training program in Korea.

The program aims to systematically cultivate core professionals with expertise in research equipment operation and analytical capabilities, enabling the future Uzbekistan Chemical Research Institute—The Center of Chemical Technology in Uzbekistan (UzCCT), currently being established by the Uzbek government—to operate independently and sustainably.

This project follows up on a request agreed upon by the leaders of Korea and Uzbekistan during President Shavkat Mirziyoyev’s visit to Korea in November 2017 to establish a chemical R&D center in Uzbekistan. The Uzbek government officially requested support for setting up a national chemical research institute modeled after Korea’s government-funded research institutes. In response, the Ministry of Science and ICT and KOICA have collaborated to advance this initiative.

Notably, this is the first blended financing project in Korea’s science and technology diplomacy history, combining concessional loans from the Export-Import Bank of Korea’s Economic Development Cooperation Fund (EDCF) with KOICA’s grant aid. The total project budget amounts to USD 47 million. Of this, USD 40 million in loans will support construction and equipment installation, while USD 7 million in grant funding will be allocated to master planning, human resource development, and joint research activities.

At the opening ceremony, officials underscored that this training program — backed by KOICA’s grant aid — extends well beyond technical instruction. It represents a strategic human resource development initiative aimed at strengthening UzCCT’s independent operational capacity and advancing its research and development capabilities.

The training curriculum integrates theoretical instruction with hands-on practice. It focuses on understanding equipment principles, field application in research environments, data interpretation, and ensuring the reliability of analytical results. Through this practice-oriented approach, participants will be equipped to independently operate research equipment and conduct analytical work at UzCCT upon completion of the program.

The invitational training program is regarded as a sustainable model for strengthening human capacity through KOICA’s grant assistance. It is expected to provide a foundation for UzCCT not only to enhance Uzbekistan’s chemical industry competitiveness but also to grow into a regional hub for chemical and materials R&D cooperation in Central Asia.

KRICT President Young-Kuk Lee stated, “This opening ceremony marks a starting point for Uzbekistan to build self-reliant chemical R&D capabilities through KOICA’s grant aid. Even after the training concludes, we will continue to expand bilateral cooperation through joint research and follow-up human resource development programs.”

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KRICT is a non-profit research institute funded by the Korean government. Since its foundation in 1976, KRICT has played a leading role in advancing national chemical technologies in the fields of chemistry, material science, environmental science, and chemical engineering. Now, KRICT is moving forward to become a globally leading research institute tackling the most challenging issues in the field of Chemistry and Engineering and will continue to fulfill its role in developing chemical technologies that benefit the entire world and contribute to maintaining a healthy planet. More detailed information on KRICT can be found at




Iran’s Shahed drone: How the ‘poor man’s cruise missile’ is shaping Tehran’s retaliation


A Shahed-136 drone is displayed at a rally in western Tehran, Iran, on February 11, 2026.

Nurphoto | Nurphoto | Getty Images

In the aftermath of the Israeli-U.S. strikes on Iran, American allies in the Persian Gulf are hearing a sound that Ukrainian soldiers have long come to dread: the foreboding hum of the Shahed-136 ‘kamikaze’ drone. 

Originating from Iran, the Shahed has already become a fixture of modern warfare, with Tehran’s strategic partner, Russia, utilizing the technology in its years-long invasion of Ukraine. 

Now, the drones — the most advanced of which is the long-ranged Shahed-136 — have become central to Iran’s retaliation strategy against the U.S. and its regional allies, with thousands unleashed so far. 

At first glance, the Shahed is unremarkable compared with cutting-edge weapon technologies, with one analyst referring to it as “the poor man’s cruise missile.” 

But while American allies have managed to intercept the vast majority of incoming drones with the help of U.S.-provided defense systems such as the ‘Patriot’ missiles, many Shaheds still managed to hit their targets. 

The United Arab Emirates Ministry of Defence said on Tuesday that out of 941 Iranian drones detected since the start of the Iran war, 65 fell within its territory, damaging ports, airports, hotels and data centers.

The Shahed‑136, among other unmanned aerial systems, has allowed states like Russia and Iran a cheap way to impose disproportionate costs.

Patrycja Bazylczyk

Analyst at the Center for Strategic and International Studie

Analysts say the key to their effectiveness lies in the numbers. The drones are relatively cheap and easy to mass-produce, especially compared to the sophisticated systems used to defend against them. 

Those factors make the drone ideal for swarming and overburdening aerial defenses, with each drone intercepted also representing a more valuable defense asset expended. 

“The Shahed‑136, among other unmanned aerial systems, has allowed states like Russia and Iran a cheap way to impose disproportionate costs,” said Patrycja Bazylczyk, analyst with the Missile Defense Project at the Center for Strategic and International Studies in Washington DC.

“They force adversaries to waste expensive interceptors on low‑cost drones, project power, and create a steady psychological burden on civilian populations.” 

The cost imbalance

U.S. government reports describe the Shahed-136 as a one-way attack unmanned aerial vehicle produced by Iranian entities tied to the Islamic Revolutionary Guard Corps.

Compared with ballistic missiles, the drones fly low and slow, deliver a relatively modest payload, and are limited to mostly fixed targets, said Behnam Ben Taleblu, senior director of the Iran program at the Foundation for Defense of Democracies, told CNBC.

Public estimates suggest Shahed drones can cost between $20,000 and $50,000 apiece. Ballistic and cruise missiles, by contrast, can cost millions of dollars each.

In that sense, the Shahed and its equivalents “basically serve as ‘the poor man’s cruise missile’ offering a way to strike and harass adversaries “on the cheap,” said Taleblu.

For Iran, which faces both international sanctions and limitations on acquiring advanced weapons, that cost advantage is significant.

Meanwhile, air defense systems used by Gulf states and Israel can cost between $3 million and $12 million per interceptor, according to U.S. Department of Defense budget documents.

This cost discrepancy raises a serious issue for Iran’s enemies: Air defense systems have finite numbers of defense missiles, with each target intercepted representing a valuable asset expended.

Pimary technical data from the U.S. Army’s ODIN database and Iranian military disclosures describe the Shahed-136 as about 3.5 metres long with a 2.5-metre wingspan.

Sergei Supinsky | Afp | Getty Images

Thus, in a war of attrition, the drones could be used by Tehran to wear down air defenses, opening them up to more damaging attacks, analysts say.

“The logic is to expend drones early while preserving ballistic missiles for the long haul,” said CSIS’s Bazylczyk.

She added that Iran’s ability to sustain mass‑drone use will depend on its stockpiles, how well it can protect or restore its supply chain, and whether the U.S. and Israel can meaningfully disrupt the flow of components or production sites. 

The U.S. has long sought to disrupt Iran’s production of the Shahed-136, and recently imposed new sanctions targeting suspected component suppliers across Turkey and the UAE.

However, Russia’s production of Shahed drones shows that such systems can be manufactured at scale during wartime and amid targeted sanctions. 

U.S. officials claim Iran had launched over 2,000 drones in the conflict as of Wednesday. However, the country is understood to have large stockpiles and may be capable of producing hundreds more each week, military experts reportedly told The National newspaper.

“Gulf countries are at risk of depleting their interceptors unless they are more prudent about when it fires those interceptors,” said Joze Pelayo, a Middle East security analyst with the think tank Atlantic Council.

“The depletion is not imminent, but it remains an urgent issue,” he said, noting. However, attacks on multiple fronts by Iranian allies such as Hezbollah and the Houthis could put stockpiles at risk of being depleted within days, he added.

A new staple of the modern battlefield?

The Shahed‑136 was first unveiled around 2021 and gained global attention after Russia began deploying the Iranian-supplied weapons during its invasion of Ukraine in 2022. 

The Kremlin has since received thousands of the drones and begun producing them based on Iranian designs, highlighting their reproducible and scalable design.

Some analysts have suggested that Iran has drawn from Russia’s extensive battlefield experience with the drones, including modifications such as anti-jamming antennas, electronic warfare-resistant navigation, and new warheads.

Those warheads typically carry 30 kg to 50 kg of explosives and can pack a punch, particularly when used in large swarms, with advanced versions capable of a range of up to 1,200 miles.

Michael Connell, a Middle East specialist at the Center for Naval Analyses, said that the Shahed-136 has proven so effective that the U.S. has reverse-engineered it and deployed its own version on the battlefield against Iranian targets. 

In its Iran attacks over the weekend, the U.S. Central Command confirmed that it had used such low-cost one-way attack drones modeled after the Shahed for the first time in combat. 

Iran’s Shahed drone: How the ‘poor man’s cruise missile’ is shaping Tehran’s retaliation

With drones becoming a fixture of the modern battlefield, methods for dealing with them are also evolving.

According to Taleblu from the Foundation for Defense of Democracies, Ukraine has found some success in downing drones with fighter jet cannon fire, a more sustainable deterrent than missile interceptors.

Ukraine also recently pioneered the development of cheaper mass-produced interceptors, which Kyiv claims can stop the Shahed.

Gulf states are also expected to adopt more sustainable approaches. The Pentagon and at least one Gulf government are reportedly in talks to buy the cheaper Ukrainian-made interceptors.

Meanwhile, Qatar’s Ministry of Defense says it is also using its air force jets to intercept Iranian attacks, including Shahed drones, alongside ground-based air defenses.

Electronic warfare targeting the Shahed’s GPS, as well as short-range missiles and directed-energy systems such as Israel’s Iron Beam, are also significantly cheaper to operate than traditional interceptors.

Still, analysts say Gulf states currently lack fast, high-volume anti-drone capabilities. Developing and deploying such systems will likely take years, said Atlantic Council’s Pelayo.

“Countries in the Gulf hosting U.S. bases, such as Bahrain, Kuwait, and the UAE, benefit from an extended ability to repel drone attacks through the American-operated system, but it is still not enough against mass and sustained attacks.”


Anthropic and the Pentagon are back at the negotiating table, FT reports


Anthropic CEO Dario Amodei looks on after a meeting with French President Emmanuel Macron during the AI Impact Summit in New Delhi on February 19, 2026.

Ludovic Marin | Afp | Getty Images

Anthropic CEO Dario Amodei is back at the negotiating table with the U.S. Department of Defense after the breakdown of talks on Friday over the use of the company’s AI tools by the military, according to The Financial Times. 

Amodei is in talks with Emil Michael, under-secretary of defense for research and engineering, in a last-ditch effort to reach an agreement on the terms governing the Pentagon’s access to Anthropic’s Claude models, the Times reported, citing anonymous sources with knowledge of the matter.

Discussions fell apart Friday, with President Donald Trump directing federal agencies to stop using Anthropic’s tools, and Defense Secretary Pete Hegseth saying he would designate the company a supply-chain risk to national security.

Last week, Michael had attacked Amodei, calling him a “liar” with a “God complex,” in an X post.

Agreeing to a new contract would enable the U.S. military to continue using Anthropic’s technology, which has reportedly been utilized in Washington’s war with Iran. 

Claude became the first major model deployed in the government’s classified networks through a $200 million contract awarded by the DoD to Anthropic, but the company later sought guarantees that its tools would not be used in domestic surveillance or autonomous weapons. The Pentagon had demanded that the military be allowed to employ the technology for any lawful use.

In a Friday memo seen by FT, Amodei reportedly told staff that near the end of negotiations with the Defense Department, it had offered to accept Anthropic’s terms if they deleted a “specific phrase about ‘analysis of bulk acquired data'” — a line he said, “exactly matched this scenario we were most worried about.” 

Amodei also wrote in his note that messaging from the Pentagon and OpenAI, which struck a new deal with the Defense Department on Friday, was “just straight up lies about these issues or tries to confuse them.” 

The timing of OpenAI’s deal with the Pentagon, announced within hours of the White House decrying Anthropic, had caused a public backlash, with Claude seeing a surge of app downloads while ChatGPT reportedly saw app uninstallations surge.

OpenAI CEO Sam Altman later said that his company “shouldn’t have rushed” its deal and outlined revisions to its own safeguards with how the Defense Department can use its technology. 

In a post on X, Altman further addressed the controversy, saying: “In my conversations over the weekend, I reiterated that Anthropic should not be designated as a [supply chain risk], and that we hope the [Department of Defense] offers them the same terms we’ve agreed to.”

Anthropic was founded in 2021 by a group of former OpenAI staff and researchers, who left the firm after disagreements over its direction, with the company marketing itself as a “safety-first” alternative.

Government officials have for months criticized Anthropic for allegedly being overly concerned with AI safety.

A tech industry group, whose members include Nvidia, Google and Anthropic, had sent a letter to Hegseth on Wednesday expressing concern over his designating a U.S. company as a supply-chain risk.

The Defense Department and Anthropic did not immediately respond to a CNBC request for comment on their reported negotiations.


Broadcom CEO Hock Tan sees AI chip revenue ‘significantly’ above $100 billion next year


Broadcom CEO Hock Tan.

Lucas Jackson | Reuters

Broadcom CEO Hock Tan sees the artificial intelligence boom gaining so much steam that he’s projecting AI chip revenue next year “significantly in excess of $100 billion.”

After the chipmaker reported better-than-expected results for the fiscal first quarter and issued a strong forecast for the current period, Tan said on his company’s earnings call that demand is picking up from large customers that are increasingly in need of Broadcom’s help in designing custom silicon.

“We have also secured the supply chain required to achieve this,” Tan said, regarding the 2027 sales target.

AI revenue in the first quarter more than doubled from a year earlier to $8.4 billion, while total sales increased 29% to $19.3 billion. The company expects AI semiconductor revenue of $10.2 billion this quarter.

Broadcom shares popped more than 5% in extended trading on Thursday after Tan’s comments.

Chip companies like Broadcom have faced a number of headwinds in recent months, including a shortage of the high bandwidth memory crucial for custom accelerators, and capacity constraints at the most advanced levels of chip manufacturing and packaging.

Broadcom helps its customers translate their chip designs into silicon, providing back-end support before the processors are sent off to be manufactured at huge fabrication plants by companies like Taiwan Semiconductor Manufacturing Company.

Broadcom CEO Hock Tan sees AI chip revenue ‘significantly’ above 0 billion next year

It’s a role that’s fueled Broadcom’s growth as more tech giants design in-house accelerators for AI. Tan said custom AI deployment is entering its “next phase” and is expected to speed up, as the company helps six key customers design their chips. Chief among those are Google, Meta, Anthropic and OpenAI, with Fujitsu and ByteDance likely as the final two.

Google was the first to the in-house chip game in 2015, with its tensor processing units designed alongside Broadcom. Google has made its chips available to cloud customers since 2018, with key customers now including Apple and Anthropic. Broadcom expects even stronger demand from next-generation Google chips in 2027.

Meta is also reportedly in talks to use Google’s TPUs, and Broadcom assists the social media company with developing its own MTIA accelerator. Analysts have cast doubt on the future of Meta’s custom silicon program, but the “MTIA roadmap is alive and well,” Tan said on the earnings call.

During the question and answer portion of the call, Bernstein Research analyst Stacy Rasgon pushed Tan on the specific sources of the projected $100 billion in AI chip revenue. He counted 3 gigawatts of capacity at Anthropic, 3 gigawatts at Google, at least 2 gigawatts with Meta, and 1 gigawatt from OpenAI, among others. Tan said the dollars per gigawatt “vary, sometimes quite dramatically,” but that his estimates were “not far” off.

While Tan said that the AI revenue boost would come from “just chips,” Broadcom makes much more than just AI accelerators. Ben Bajarin of Creative Strategies said it includes digital signal processors, data processing units and networking switches.

It’s “everything in that bucket,” Bajarin said.

— CNBC’s Jordan Novet contributed to this report.

WATCH: Broadcom CEO on Ai revenue

Broadcom CEO: AI revenue from chips could exceed $100 billion in 2027


Amazon’s Bahrain data center targeted by Iran for support of U.S. military, state media says


People walk past the logo of Amazon Web Services (AWS) at its exhibitor stall at the India Mobile Congress 2025 at Yashobhoomi, a convention and expo center in New Delhi, India, October 8, 2025.

Anushree Fadnavis | Reuters

Amazon‘s data center in Bahrain was targeted by Iran’s Islamic Revolutionary Guard Corps for the company’s support of the U.S. military, Iranian state media said Wednesday.

The company’s cloud computing unit said Monday that one of its facilities in Bahrain was damaged due to a nearby drone strike on Sunday. Two data centers in the United Arab Emirates were also damaged after they were “directly struck” by drones.

All of the facilities remain offline, according to the Amazon Web Services health dashboard.

The attack in Bahrain was launched “to identify the role of these centers in supporting the enemy’s military and intelligence activities,” Iran’s Fars News Agency said on Telegram.

The incidents came after joint U.S.-Israel strikes on Iran over the weekend. Iran has retaliated against Israeli and U.S. bases across the Gulf.

Amazon declined to comment.

In addition to structural damage, the data centers also experienced power disruptions and some water damage after firefighters worked to put out sparks and fire. Some popular AWS applications experienced “elevated error rates and degraded availability” due to the incident.

AWS advised cloud customers to back up their data, consider migrating their workloads to other regions and direct traffic away from Bahrain and the UAE.

AWS announced its Bahrain region in 2019, and it hosts significant workloads for governments there. The company also operates a corporate office in Bahrain that is primarily for AWS employees.

Earlier this week, Amazon instructed all of its corporate employees in the Middle East to work remotely and “follow local government guidelines” amid escalating instability in the region.

Amazon’s Bahrain data center targeted by Iran for support of U.S. military, state media says


Broadcom beats on earnings and guidance as AI revenue doubles


Broadcom CEO Hock Tan speaks at the digital X event in Cologne, Germany, on September 13, 2022.

Ying Tang | Nurphoto | Getty Images

Broadcom reported better-than-expected earnings and revenue and issued a strong forecast for the current period as the chipmaker continues to benefit from the artificial intelligence boom.

Here’s how the company performed in comparison with LSEG consensus:

  • Earnings per share: $2.05 adjusted vs. $2.03 estimated
  • Revenue: $19.31 billion vs. $19.18 billion estimated

Revenue jumped 29% year over year during the fiscal first quarter, which ended on Feb. 1, according to a statement.

Net income increased to $7.35 billion, or $1.50 per share, from $5.50 billion, or $1.14 per share, in the same quarter a year earlier. Adjusted earnings exclude stock-based compensation and tax adjustments.

For the second quarter, Broadcom said it anticipates a 68% adjusted profit margin, higher than StreetAccount’s 66% consensus. The company said it’s looking for $22 billion in revenue, beating the $20.56 billion average estimate, according to LSEG.

Broadcom helps other companies translate their chip designs into silicon, providing intellectual property and backend technologies before they’re sent off to chip fabrication plants from companies such as Taiwan Semiconductor Manufacturing Company. It’s a role that’s gained importance as Amazon, Google, Meta and Microsoft design customized chips.

AI revenue soared 106% from a year earlier to $8.4 billion, “driven by robust demand for custom AI accelerators and AI networking,” CEO Hock Tan said in the statement.

Tan had called for a doubling of AI revenue in December. He said the company expects AI semiconductor revenue of $10.7 billion this period.

Broadcom reported $12.52 billion in revenue from semiconductor solutions, higher than the $12.25 billion that analysts polled by StreetAccount expected. During the quarter, Broadcom announced new Wi-Fi 8 chips.

For infrastructure software, Broadcom said it generated $6.80 billion in revenue, lower than StreetAccount’s $7.02 billion consensus.

Broadcom said its board authorized up to $10 billion in new share buybacks through 2026.

In December Tan said Anthropic had placed a $10 billion custom chip order. Last week U.S. Defense Secretary Pete Hegseth said the Pentagon would dub Anthropic a “supply chain risk to national security” and President Donald Trump directed government agencies to stop using Anthropic after the AI startup refused to permit uses of its technology for mass domestic surveillance or fully autonomous weapons.

As of Wednesday’s close, Broadcom shares were down 8% so far in 2026, while the S&P 500 index was flat.

Executives will discuss the results on a conference call starting at 5 p.m. ET.

This is breaking news. Please check back for updates.

Broadcom beats on earnings and guidance as AI revenue doubles