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In Japan, the robot isn’t coming for your job; it’s filling the one nobody wants

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Physical AI is emerging as one of the next major industrial battlegrounds, with Japan’s push driven more by necessity than anything else. With workforces shrinking and pressure mounting to sustain productivity, companies are increasingly deploying AI-powered robots across factories, warehouses, and critical infrastructure.

Japan’s Ministry of Economy, Trade and Industry said in March 2026 that it aims to build a domestic physical AI sector and capture a 30% share of the global market by 2040. The country already holds a strong position in industrial robotics, with Japanese manufacturers accounting for about 70% of the global market in 2022, according to the ministry.

Based on conversations with investors and industry executives, TechCrunch explored what’s driving that shift, how Japan’s approach differs from the U.S. and China, and where value is likely to emerge as the technology matures.

Driven by labor shortages  

Several factors are driving adoption in Japan, including cultural acceptance of robotics, labor shortages driven by demographic pressures, and deep industrial strength in mechatronics and hardware supply chains, Woven Capital managing director Ro Gupta told TechCrunch.

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“Physical AI is being bought as a continuity tool: how do you keep factories, warehouses, infrastructure, and service operations running with fewer people?” Hogil Doh, Global Brain general partner, also said. “From what I’m seeing, labor shortages are the primary driver.”

Japan’s demographic crunch is accelerating. The population declined for a 14th straight year in 2024; those of working age make up just to 59.6% of the total, a share projected to shrink by nearly 15 million over the next 20 years, Doh pointed out. It’s already reshaping how companies operate: a 2024 Reuters/Nikkei survey found labor shortages are the main force pushing Japanese firms to adopt AI.

“The driver has shifted from simple efficiency to industrial survival,” Sho Yamanaka, a principal with Salesforce Ventures, said in an interview with TechCrunch. “Japan faces a physical supply constraint where essential services cannot be sustained due to a lack of labor. Given the shrinking working-age population, physical AI is a matter of national urgency to maintain industrial standards and social services.”

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Japan is stepping up efforts to advance automation across manufacturing and logistics, according to Mujin CEO and co-founder Issei Takino. The government has been promoting automation to address structural challenges such as labor shortages. Mujin, a Japanese company, has built software that lets industrial robots handle picking and logistics tasks autonomously. Mujin’s approach centers on software — specifically robotics control platforms — that allows existing hardware to perform more autonomously and efficiently, Takino said.

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Hardware strength, system risk

Where Japan has historically excelled is in the physical building blocks of robotics. Whether that advantage translates into the AI era is a more open question. The country continues to demonstrate strength in core robotics components such as actuators, sensors and control systems, according to Japan-based venture capitalists, while the U.S. and China are moving more quickly to develop full-stack systems that integrate hardware, software and data.

“Japan’s expertise in high-precision components – the critical physical interface between AI and the real world – is a strategic moat,” Yamanaka said. “Controlling this touchpoint provides a significant competitive advantage in the global supply chain. The current priority is to accelerate system-level optimization by integrating AI models deeply with this hardware.”

Hardware capabilities are strongest in China and Japan, with Japan particularly strong in robot motion control, while the U.S. leads in the service layer and market development, Takino said. Historically, many U.S. companies have leveraged their software strengths to build integrated businesses – similar to Apple – pairing strong software platforms with high-quality hardware sourced from Asia. However, this model may not fully translate to the emerging world of physical AI, Takino said.

“In robotics, and especially in Physical AI, it is critical to have a deep understanding of the physical characteristics of hardware,” Takino said. “This requires not only software capabilities, but also highly specialized control technologies, which take significant time to develop and involve high costs of failure.”

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WHILL, a Tokyo- and San Francisco-based startup that makes autonomous personal mobility vehicles, is drawing on Japan’s “monozukuri,” or craftsmanship heritage, as it takes a broader, full-stack approach to global expansion, CEO Satoshi Sugie told TechCrunch. The company has developed an integrated platform combining electric vehicles, onboard sensors, navigation systems and cloud-based fleet management for short-distance and autonomous transport. The company is leveraging both Japan and the U.S. for development, using Japan to refine hardware and address aging population needs, and the U.S. to accelerate software development and test large-scale commercial models, Sugie noted.

From pilots to real-world deployment

The government is putting money behind the push. Under Prime Minister Sanae Takaichi, Japan has committed about $6.3 billion to strengthen core AI capabilities, advance robotics integration and support industrial deployment.

The shift from experimentation to real deployment is already underway. Industrial automation remains the most advanced segment, with Japan installing tens of thousands of robots each year, particularly in the automotive sector. Newer applications are also beginning to gain traction, Doh said.

“The signal is simple – customer-paid deployments rather than vendor-funded trials, reliable operation across full shifts, and measurable performance metrics such as uptime, human intervention rates and productivity impact,” Doh said.

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In logistics, companies are deploying automated forklifts and warehouse systems, while in facilities management, inspection robots are being used in data centers and industrial sites.

Companies like SoftBank are already applying physical AI in practice, combining vision-language models with real-time control systems to enable robots to interpret environments and execute complex tasks autonomously.

In defense, where autonomous systems are becoming foundational, competitiveness will depend not just on platforms but on operational intelligence powered by physical AI, Terra Drone CEO Toru Tokushige told TechCrunch. Tokushige added that by combining operational data with AI, Terra Drone is working to enable autonomous systems to function reliably in real-world environments and support the advancement of Japan’s defense infrastructure.

Investment is shifting beyond hardware, with companies allocating more capital to orchestration software, digital twins, simulation tools and integration platforms, according to investors and industry sources.

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The rise of hybrid ecosystems

Japan’s physical AI ecosystem is also evolving in ways that differ from traditional tech disruption models. Rather than a winner-take-all dynamic, industry participants expect a hybrid model, with established companies providing scale and reliability, while startups drive innovation in software and system design.

Large incumbents, including Toyota Motor Corporation, Mitsubishi Electric, and Honda Motor, retain significant advantages in manufacturing scale, customer relationships, and deployment capabilities. But startups are carving out critical roles in emerging areas such as orchestration software, perception systems, and workflow automation.

“The relationship between startups and established corporations is a mutually complementary ecosystem,” Yamanaka said. “Robotics requires heavy hardware development, deep operational know-how, and significant capital expenditure. By fusing the vast assets and domain expertise of major corporations with the disruptive innovation of startups, the industry can strengthen its collective global competitiveness.”

Japan’s defense ecosystem is also shifting away from dominance by large corporations toward greater collaboration with startups, the Terra Drone CEO said. Large companies remain focused on platforms, scale and integration, while startups are driving development in smaller systems, software and operations, with speed and adaptability becoming key competitive factors.

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Companies like Mujin are developing platforms that sit above hardware, enabling multi-vendor automation and faster deployment across industries. Others, including Terra Drone, are applying similar approaches to autonomous systems, combining AI and operational data to support real-world applications at scale.

“The most defensible value will sit with whoever owns deployment, integration, and continuous improvement,” Doh said.

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The deep-tech founder using AI to address immunology challenges

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Camille Bouget discusses how artificial intelligence is impacting innovation in the treatment of diseases affecting the immune system.

“Immuno-inflammatory diseases are often described as niche. They are not,” Camille Bouget, the CEO and co-founder of healthcare start-up Scienta Lab, explained to SiliconRepublic.com.  

With as many as one out of every 10 people in Western countries potentially impacted by an immuno-inflammatory condition, she noted, symptoms are often debilitating and the available therapeutic options frequently deeply inadequate for a significant proportion of patients. 

This is why, in 2021, Bouget co-founded Scienta Lab, a biotechnology company that aims to advance research within immunology via modern technologies such as artificial intelligence and EVA, the organisation’s multimodal AI model purpose-built for translational research in immunology and inflammation. 

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“It was designed to answer the concrete questions that R&D teams face throughout drug development: which therapeutic targets are worth pursuing, which preclinical biological signals are robust enough to carry forward into clinical trials, and which patients are most likely to respond to a given candidate drug,” said Bouget. 

Applied across multiple stages of the pipeline, she explained, early on EVA can estimate therapeutic efficacy prior to a patient beginning treatment. As the programme advances, EVA can evaluate whether molecular signals observed in animal subjects are likely to translate to humans. And at the clinical stage, it can support the identification of patient subgroups for more precisely designed trials.

“The primary beneficiaries are biopharmaceutical and biotech companies working in immunology and inflammation,” she said.

“Ultimately, however, the downstream beneficiary is the patient: better-designed trials, fewer failed programmes and faster access to treatments that genuinely address unmet needs in diseases like rheumatoid arthritis, lupus and inflammatory bowel disease.”

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Why AI?

A persistent challenge for Bouget and the industry she operates within has been in properly communicating the complexity of what they do in a manner that is accessible for all of the major stakeholders, be they investors, partners or the broader public.

“Immune diseases are notoriously difficult to characterise”, she noted, as often even the experts don’t always know how to measure them, what might prompt a flare-up, or why a treatment is effective for one patient but fails to work for another. 

“Convincing people that AI can meaningfully navigate that complexity without overpromising requires constant effort,” she said, especially as a young deep-tech company in an industry that is currently dominated by what she referred to as larger key players. 

She is of the opinion that the implication of AI for patients is significant, not least because the immunology drug development pipeline has historically suffered from high late-stage attrition, with programmes failing at phase II or phase III after years of investment and work. 

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“Each of those failures represents not only a financial cost, but delayed or denied access to potentially effective therapies,” said Bouget. 

“AI that genuinely improves the translational accuracy of preclinical decision-making can meaningfully shorten that timeline and shift more resources toward candidates that are more likely to succeed.”

Sturdy foundations

But it isn’t simply a matter of having access to advanced technologies. For Bouget, multidisciplinary teams of scientists and engineers are critical to the overall success of any organisation attempting to transform immunology research and development.  

She said: “Multidisciplinary teams are the entire foundation of doing this well. The failure mode we see most often in the application of AI to drug development is a disconnect between the computational sophistication of a model and its biological relevance. 

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“A model trained without deep immunological understanding may optimise for the wrong signal. Conversely, a team with outstanding biological expertise but limited machine learning capability will struggle to extract meaningful structure from the scale of data that modern multiomics generates.”

At Scienta Lab, the co-founding team consists of a pharmacist and former industry strategist, a biomedical engineer, and a mathematician with deep AI expertise.

“Day-to-day, our team spans immunology, bioinformatics, machine learning and clinical pharmacology,” Bouget explained.

“The ability to build bridges between those disciplines, to have a conversation where a wet-lab immunologist and a transformer architect are genuinely learning from each other, is what allows us to build models that are both technically rigorous and biologically meaningful.”

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She added: “Organisations that try to solve this problem with either pure data science or pure biology will hit a ceiling. The translational gap in drug development is not fundamentally a data problem or a computing problem alone, but one of understanding that requires genuinely integrated teams.”

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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Crooks Behind $27M in ‘Refund’ Scams Busted By YouTube Pranksters After Being Lured to Fake Funeral

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One crime ring scammed 2,000 elderly people of more than $27 million between 2021 and 2023 using tech support/bank impersonation/refund scams. “Victims were in their 70s and 80s,” reports the U.S. Attorney’s office for California’s southern district. Victims were first told they’d received a refund (either online or via phone), but then told they’d been “over-refunded” a massive amount, and asked to return that amount.

But 42-year-old Jiandong Chen just admitted Thursday in a U.S. federal court that he was involved in the fraud and money laundering via cryptocurrency — pleading guilty to two charges with maximum penalties of 40 years in prison and a $1 million fine, plus 20 years in prison with a maximum fine of $500,000 or twice the amount laundered. “Chen, a Chinese national, is the second defendant charged in a five-defendant indictment.” And what tripped him up seems to be that “Certain members of the conspiracy also did in-person pickups of money directly from victims…”

And so YouTube enters the story — when the scammers called pranksters with 1,790,000 subscribers to their “Trilogy Media” channel. In an elaborate three-hour video, the team of pranksters lured the scammer to a rented Airbnb where they’re staging a fake funeral with a nun. (One of the men acting in the video remembers “we start doing a prayer… I’m holding the scammer’s hand in my nun outfit…”)

They convince the scammer to collect the cash from a dead man — “Is there anything you’d like to say to him?” Then there’s demon voices. The scammer’s victim resurrects from the dead. Did the cash mule bring holy water?

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The end result was a video titled “CONFRONTING SCAMMERS WITH A FAKE FUNERAL (EPIC REACTIONS)“. But two and a half years later, their “cash mule sting house” video has racked up over 1.3 million views, 22,000 likes, and 2,979 comments. (“This video is longer than Oppenheimer. Thanks for the laughs fellas.”)

And the scammer is facing 60 years in prison.

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Engineer Launches Genius AI Scheme To Track The Price Of His Favorite Beer

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A man in Ireland has figured out a way to find the cheapest pint of Guinness using just AI programs. Matt Cortland became frustrated when he paid nearly $9 for a pint at a pub in Dublin, and decided he had to figure out a way to track prices across the country. 

The first step was to find out the prices. To do that, Cortland created “Rachel” using the AI voice-generation platform ElevenLabs, then had her call every pub across Ireland — with a Northern Irish accent, of course. She ended up calling over 6,000 pubs, asking each one what their price was for a pint of Guinness. 

The second step was to sort the data. He used Claude to create a price index called “Guinndex,” which he can update himself, or bartenders can update whenever prices change. This offers Cortland — and anyone else craving a Guinness — up-to-date prices.

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The key was making AI feel authentic over the phone

While it all sounds pretty methodical, the most successful part of Cortland’s AI procedure was making Rachel feel human. Rachel was inspired by Rachel Duffy, the winner of the U.K. reality show “The Traitors” – but given a Northern Irish accent. Cortland reported that most pubs across Ireland couldn’t even tell Rachel was an AI over the phone, which likely yielded more results. 

A wide range of industries has started using AI to make phone calls. A study of car dealerships found that when AI handled customer service calls, it actually seemed more successful than average phone calls across the industry. Data from Regal found that humans actually appear to prefer talking to AI representatives more than human ones, staying on the phone longer and providing longer responses. Rachel’s phone calls with pubs appeared to reflect this, with bartenders happily telling her that she could even come in and get a pint for free. 

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It seemed like they didn’t even know she was AI — in reality, AI robots aren’t having as much success in that category. People have also reported not enjoying AI-led job interviews, likely already biased since they know it’s AI on the other end. Maybe let’s stick to the AI pint trackers.



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This Android phone can run Windows games locally, no PC required

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In a recent video, creator ETA Prime showcases Red Magic’s phone running multiple Windows games directly on Android. The device is powered by a Snapdragon 8 Elite Gen 5 SoC, paired with 24GB of LPDDR5T memory and 1TB of UFS 4.1 Pro storage.
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Samsung will discontinue its Messages app in July and replace it with Google’s

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Samsung is putting the final nail in the coffin for its own messaging app. The smartphone maker posted an “End of Service Announcement” on its website, revealing that the Samsung Messages app will no longer be available by July of this year. Samsung also recommended that anyone still using Samsung Messages switch over to Google Messages as the default messaging app.

For Samsung Messages users in the US, the switch to Google offers RCS messaging that lets you send high-quality media, join group chats and get real-time typing indicators no matter the smartphone’s OS. Galaxy smartphone owners may lose out on some of the Samsung Messages customization options, but Google Messages will make up for it generative AI from Gemini that can remix your photos in chats. On top of those features, Google Messages makes it easier for Samsung users to switch chats between a smartphone, tablet or smartwatch.

It’s no surprise that Samsung is only using Google Messages from now on, since it has been phasing out Samsung Messages for a few years now. Dating back to the Galaxy Z Fold 6 and Flip 6, and then followed by the Galaxy S25 series, Samsung stopped preloading the Samsung Messages app and instead pre-installed the Google Messages app. The Samsung Messages app is still available on the Galaxy Store, but Samsung said the exact final date will eventually be announced on the app itself.

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Monzo quits the US to focus on Europe ahead of a London IPO

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In short: Monzo announced on 1 April 2026 that it is closing its US operations, stopping new American sign-ups immediately and shutting existing accounts by June, and cutting approximately 50 roles. The decision comes three months after the UK challenger bank received a full banking licence from the European Central Bank and the Central Bank of Ireland, opening up expansion across the EU. It also arrives as Monzo prepares for a London IPO that Morgan Stanley is advising on, with a target valuation of between £6 billion and £7 billion.

Monzo is leaving the United States. The UK challenger bank announced on 1 April 2026 that it would cease accepting new American customers immediately, cut approximately 50 US-based roles, and close all existing American accounts by June. In a statement, the company framed the decision as a deliberate reorientation rather than a retreat: “With a fast-growing customer base of 15 million in the UK and the growth opportunity our European banking licence creates, we’re making a deliberate, strategic decision to focus on scaling in our home market and Europe and to step away from the US.” The announcement ends a seven-year experiment that never fully resolved its central structural problem, Monzo could not get a banking licence in the US, and without one, it could not compete.

Seven years, no charter

Monzo announced its American expansion in June 2019, rolling out a simplified version of its app to US customers and partnering with Sutton Bank, an Ohio-based FDIC-insured institution, to hold customer deposits and issue debit cards. The arrangement was always a workaround: without its own banking charter, Monzo could not originate loans, access core payment infrastructure directly, or compete in the lending and interchange revenue streams that define US retail banking profitability. It filed an application with the Office of the Comptroller of the Currency for a national bank charter in April 2020, but withdrew the application in late 2021 after regulators signalled it would not be approved. The company faced opposition from the National Community Reinvestment Coalition, among others, which argued that Monzo had not demonstrated sufficient commitment to serving local community needs. After withdrawing the OCC application, Monzo continued operating in the US through partner institutions, but it never secured the infrastructure that would have made its American business structurally viable.

The result, after seven years, was a product that offered a digital current account but not the full-service banking relationship that Monzo had built in the UK. US customers could not access mortgages, personal loans, or the premium credit products that generate meaningful revenue. They had a sophisticated spending tracker and a card linked to a partner bank’s balance sheet. That is a reasonable travel companion. It is not a challenger bank.

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The European licence that changed the calculation

On 17 December 2025, the European Central Bank and the Central Bank of Ireland granted Monzo a full banking licence, making it the first digital bank to be fully regulated by the Central Bank of Ireland and establishing Dublin as its European headquarters. The licence unlocks what the OCC application never delivered: the right to hold customer deposits directly, originate loans, and operate as a full bank across the 27-member EU single market under the EU’s passporting regime. Europe’s appetite for homegrown technology champions in financial services has grown considerably in recent years, and Monzo’s Irish licence positions it to compete for that opportunity on equal terms with incumbent banks for the first time. The three months between the Dublin licence and the US exit announcement are not coincidental. The company now has a credible path to scaled profitability in a market where it is already the dominant challenger; the US, by contrast, remained a market where it was permanently constrained.

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An IPO in the background

The withdrawal also has a more immediate audience: the investors Monzo is courting ahead of a public listing. The company has appointed Morgan Stanley to advise on a London Stock Exchange IPO that is expected in 2026, with a target valuation of between £6 billion and £7 billion — compared with the $5.9 billion implied by a secondary share sale in October 2024. Companies preparing for public listings in 2026 have generally found that a clean, focused growth story commands a higher multiple than a sprawling international footprint with mixed results, and a US operation that could not clear its structural barriers was a complication the IPO story did not need.

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The listing has already generated internal turbulence. TS Anil, who served as Monzo’s CEO for five years, stepped down in February 2026 following a reported dispute with the board over the timing and location of the IPO. Anil is understood to have favoured an earlier listing and had expressed interest in a New York venue; the board opted for London and more time. Diana Layfield, who spent nearly a decade at Google and more than a decade at Standard Chartered, was named his successor in October 2025 and took the role subject to regulatory approvals. Her mandate is the European expansion and the public listing. The US exit is the first visible act of that mandate.

The numbers behind the decision

Monzo’s financial trajectory gives the pivot a logic that is easier to explain to prospective public market investors than to American customers receiving account-closure notices. For the financial year ending March 2025, the bank reported revenue of £1.24 billion, up 48% year on year. Adjusted pre-tax profit reached £113.9 million, an eightfold increase on the prior year. Customer deposits grew 48% to £16.6 billion. A year that saw digital banking’s growth trajectory sharpen considerably across European markets validated the core bet: that a mobile-first bank with no branch network could generate the kind of revenue and profit that commands a credible IPO valuation. The US, in that context, was consuming resources that could instead be deployed against a market where the regulatory framework and customer base are already in place.

The subscription and premium-tier model that has driven platform revenue growth across technology is central to how Monzo has reached profitability in the UK: Monzo Plus and Monzo Premium accounts charge monthly fees and bundle benefits including travel insurance, higher interest rates on savings, and cashback. Replicating that model in the US required a depth of product, overdrafts, credit, savings, that a partner-bank structure made impossible. In the UK and, increasingly, in Europe, Monzo can offer all of it.

The broader picture

The move leaves the US challenger banking market increasingly to domestic incumbents and to a handful of well-capitalised European fintechs that have managed to secure their own charters. Revolut, Monzo’s nearest European rival, has been pursuing a US banking licence since 2021 and has yet to obtain one. The structural barriers that defeated Monzo’s OCC application remain in place. The lesson emerging from several high-profile European technology companies is that the conviction to double down on home-market strength, rather than spreading capital across geographies where the terms are unfavourable, is increasingly what investors reward. Monzo’s board, in pushing for a London listing and a European expansion over an American one, appears to have reached the same conclusion.

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For American customers, the practical consequence is a June 2026 account closure. Monzo said it would provide guidance in the coming days on how to transfer funds, redirect direct deposits, and access statements after the accounts are closed. For Monzo itself, the US chapter closes with a banking licence in Dublin, a public listing in preparation, and 15 million customers in the UK who collectively generated more than a billion pounds in revenue in a single year. The experiment in America is over. The business case for ending it is not difficult to read.

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‘Marshals’ Release Schedule: When Episode 6 Hits Paramount Plus

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Marshals, a new Yellowstone spinoff starring Luke Grimes as Kayce Dutton, is airing on CBS right now. You can also tune in with Paramount Plus. The Yellowstone sequel series sees Grimes’ former Navy SEAL join an elite unit of US Marshals to bring range justice to Montana, according to a synopsis from CBS.

The show includes Yellowstone actors Gil Birmingham as Thomas Rainwater, Mo Brings Plenty as Mo and Brecken Merrill as Tate. Spencer Hudnut is the showrunner of Marshals — formerly known as Y: Marshals — and Taylor Sheridan is an executive producer.

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When to watch new Marshals episodes on Paramount Plus

Episode 6 of Marshals airs on CBS on Sunday, April 5. Viewing options for Paramount Plus customers vary by subscription tier. You can watch the episode live if you have Paramount Plus Premium, which includes your local CBS station. If you subscribe to Paramount Plus Essential, you can watch the installment on demand the following Monday, but not live on Sunday.

Here’s a release schedule for the next three episodes of Marshals.

  • Episode 6, Out of the Shadows: Premieres on CBS/Paramount Plus Premium on April 5 at 8 p.m. ET/8 p.m. PT/7 p.m. CT. Streams on Paramount Plus Essential on April 6.
  • Episode 7, Family Business: Premieres on CBS/Paramount Plus Premium on April 12 at 8 p.m. ET/8 p.m. PT/7 p.m. CT. Streams on Paramount Plus Essential on April 13.
  • Episode 8, Blowback: Premieres on CBS/Paramount Plus Premium on April 19 at 8 p.m. ET/8 p.m. PT/7 p.m. CT. Streams on Paramount Plus Essential on April 20.

You can also watch CBS and the sixth episode of Marshals without cable with a live TV streaming service such as YouTube TV, Hulu Plus Live TV or the DirecTV MyNews skinny bundle. In addition to offering a lower-cost option, Paramount Plus lets you watch the other two Yellowstone spinoffs: the prequels 1883 and 1923.

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After a price increase in early 2026, the ad-supported Essential version runs $9 per month or $90 per year. The ad-free Premium version runs $14 per month or $140 per year. Paying more for Premium gives you downloads, the ability to watch more Showtime programming than Essential and access to your live, local CBS station.

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This little-known Abuja factory is pumping out thousands of drones while copying Apple’s playbook in an unexpected security shift

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  • Terra Industries scales drone production to provide security for power plants, mines, and refineries
  • Local manufacturing cuts costs while raising new questions about production sustainability
  • Annual subscriptions introduce financial risk for clients in unstable economic environments

A Nigerian robotics startup is building thousands of drones each year to protect critical infrastructure across Africa.

It is applying a vertically integrated manufacturing strategy that draws inspiration from Apple rather than traditional defense contractors.

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Nvidia shows neural compression can cut VRAM usage from 6.5GB to 970MB

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Consider Nvidia’s work on Neural Texture Compression (NTC). In its “Tuscan Wheels” demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed textures to 970MB using NTC, while keeping image quality close to the original.
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With One Million Displaced, Lebanon Turns to Digital Wallets for Aid

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Since March, Israeli attacks on Beirut and the occupation of southern Lebanon have displaced over 1 million people. Families are sheltering with relatives, renting if they can, or sleeping in cars and out in the open, placing immense strain on already fragile infrastructure. Over 130,000 people have also crossed into Syria, many in urgent need of food, cash assistance, and shelter, according to a report by the International Organization for Migration.

As humanitarian needs surge, so does the flow of money from abroad. Yet much of this support is not moving through traditional aid channels. Instead, it is being routed through digital fintech platforms to trusted individuals on the ground, who buy necessary items or distribute funds directly to the displaced.

There is no real-time dataset capturing donations linked specifically to the war. However, remittances—the closest available proxy—offer context. Lebanon receives roughly $6 billion to $7 billion annually from abroad, equivalent to about a third of its GDP, according to the United Nations Development Programme (UNDP) in 2023.

The UNDP reported that remittance costs there averaged 11 percent, higher than the global average. In times of crisis, these flows often shift towards emergency support. What is different now is how that money moves: Increasingly, it is being sent instantly, peer-to-peer, through digital wallets.

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“These informal inflows are captured by the formal BDL figures and constitute around 70 percent of the inflows during the crisis,” the UNDP added, noting that money is also often sent as cash with people traveling to the country.

From Gift Cards to Financial Infrastructure

Being Lebanese myself, my social media feed has been inundated with former colleagues and friends setting up their channels to receive donations, sharing photos of receipts, and showing where money is going.

One grass-roots campaign run by Lebanese lawyer Jad Essayli raised $65,125 in 10 days, purely through social media and digital transfers. When asked which platforms have been the most impactful, he and other fundraisers pointed to Whish Money, though many other platforms, including Paypal, Zelle, and Venmo are also being used.

Originally launched to digitize gift cards, the company has evolved into a broad financial platform offering remittances, peer-to-peer transfers, and payment services with more than 2 million users across 110 countries. “We started off from the fact that we wanted to disrupt the distribution of gift cards,” says Toufic Koussa, cofounder and chairman of Whish Money, describing how the company built an early wallet system in 2007 that allowed retailers to issue digital cards on demand. Over time, that infrastructure expanded into a full financial ecosystem.

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When Banks Stop Working

The company’s core focus has been the unbanked and underbanked—those with limited or unreliable access to traditional banking. Those groups became central during Lebanon’s financial collapse. Globally, 1.4 billion people remain unbanked; the World Bank cites access to affordable financial services as being “critical for poverty reduction and economic growth.”

In Lebanon, as banks froze deposits and restricted withdrawals, platforms like Whish Money filled a critical gap, enabling people to move and access money outside the traditional system.

That infrastructure now shapes how aid moves in crisis. Money from family, diaspora, or grass-roots campaigns lands straight in a digital wallet and can be spent immediately. On Whish Money, peer-to-peer transfers are the most popular, followed by international remittances. Koussa also notes that Whish Money is uniquely connected to US banking infrastructure, allowing users to link accounts abroad directly to wallets in Lebanon.

Displacement is changing how people use these platforms. Overall growth is steady, but transaction patterns have shifted. Families are making bigger purchases, stocking up on essentials as uncertainty grows. Grocery bills that might have been $200 are now climbing as people prepare for the worst, Koussa says.

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