Governance
Bridging the gap: Unlock the power of AI for government agencies through cross-domain solutions
(Christopher Finch and Dave Flanagan – NextGov – 14 October 2025) Many organizations have already begun to realize the benefits of artificial intelligence, from automating routine tasks to generating new insights that accelerate decisionmaking. However, as the use of AI across government missions expands, the complexity of the digital environments they operate within presents unique challenges. Government data is highly segmented by design, often separated by security classification levels to protect sensitive data and operations. While this segmentation is essential for national security, it also presents data-sharing obstacles that must be overcome. Fortunately, Cross-Domain Solutions (CDS) can help overcome obstacles such as safely training AI models with untrusted data, sharing classified AI capabilities with partners and connecting users or systems to AI tools across classification boundaries. – https://www.nextgov.com/ideas/2025/10/bridging-gap-unlock-power-ai-government-agencies-through-cross-domain-solutions/408783/?oref=ng-homepage-river
What Happens When You Give Millions of People Free Access to AI?
(Chris Stokel-Walker – Tech Policy Press – 14 October 2025) Hundreds of millions of people worldwide use generative AI chatbots. Tens of millions of us pay for access to premium versions of those products — at least 20 million pay for ChatGPT, according to an OpenAI spokesperson. But a clutch of countries, including one in Europe, are flipping the equation, offering access to AI tools at a population level in the belief that it can kickstart their economy and improve tech literacy. The furthest along is Sweden, where a homegrown champion is offering AI access to around a quarter of the population through a foundation established at a summit in Stockholm earlier this year by tech investors Olof Hernell and Nicklas Berild Lundblad, and tech founder Joel Hellermark. – https://www.techpolicy.press/what-happens-when-you-give-millions-of-people-free-access-to-ai/
To Have Democracy, We Must Contest Data
(Emily Tucker – Tech Policy Press – 14 October 2025) In her opening remarks at the UN General Assembly last month, Nobel Prize laureate Maria Ressa spoke about the takeover of information ecosystems by global technology companies and the disastrous impact on democracy worldwide. She mentioned the “Global Call for AI Redlines,” a statement signed by over 200 prominent individuals, including Ressa herself, urging governments that an “international agreement on clear and verifiable red lines is necessary for preventing universally unacceptable risks… ensuring that all advanced AI providers are accountable to shared thresholds.”. It was heartening to hear a person with Ressa’s moral authority issue a call, on such a big stage, for a coordinated effort to prevent technology companies from undermining political freedom and public safety. But the approach being advanced by the signatories of the “AI Redlines” letter she referenced is the wrong one. We don’t need redlines for “AI,” we need redlines for data. We need redlines that would put an end to many of the data practices of tech companies that sell “AI,” and we need those redlines to apply regardless of the types of products they are using data to create. I am not talking about a data governance regime focused on protecting individuals from privacy violations and other infringements of individual rights, which is at the heart of the GDPR in Europe and of most data governance proposals made in democratic contexts. I am referring to a data governance regime to protect political communities from the corporate power grab currently underway. Redlines that advance that goal would include restrictions on particular practices (like collecting certain types of data, stealing data, and selling data) that a technology company of any size might engage in. But what we need most urgently are redlines that set hard limits on the scale of corporate data collection and on the consumption of natural resources for data processing. If governments do not set and enforce such limits soon, they will quickly lose the power to set or enforce any meaningful limits on tech companies at all. – https://www.techpolicy.press/to-have-democracy-we-must-contest-data/
A common EU layer for age verification without a single age limit
(DigWatch – 14 October 2025) Denmark will push for EU-wide age-verification rules to avoid a patchwork of national systems. As Council presidency, Copenhagen prioritises child protection online while keeping flexibility on national age limits. The aim is coordination without a single ‘digital majority’ age. Ministers plan to give the European Commission a clear mandate for interoperable, privacy-preserving tools. An updated blueprint is being piloted in five states and aligns with the EU Digital Identity Wallet, which is due by the end of 2026. Goal: seamless, cross-border checks with minimal data exposure. – https://dig.watch/updates/a-common-eu-layer-for-age-verification-without-a-single-age-limit – https://www.euractiv.com/news/danes-push-for-eu-wide-age-verification-rules/
EU nations back Danish plan to strengthen child protection online
(DigWatch – 14 October 2025) EU countries have agreed to step up efforts to improve child protection online by supporting Denmark’s Jutland Declaration. The initiative, signed by 25 member states, focuses on strengthening existing EU rules that safeguard minors from harmful and illegal online content. However, Denmark’s proposal to ban social media for children under 15 did not gain full backing, with several governments preferring other approaches. – https://dig.watch/updates/eu-nations-back-danish-plan-to-strengthen-child-protection-online – https://www.digmin.dk/Media/638956829775203140/DIGMIN_The%20Jutland%20Declaration%20Shaping%20a%20Safe%20Online%20World%20for%20Minors%20101025.pdf
OpenAI wants to stop ChatGPT from validating users’ political views
(Ben Edwards – Ars Technica – 14 October 2025) “ChatGPT shouldn’t have political bias in any direction.”. That’s OpenAI’s stated goal in a new research paper released Thursday about measuring and reducing political bias in its AI models. The company says that “people use ChatGPT as a tool to learn and explore ideas” and argues “that only works if they trust ChatGPT to be objective.”. But a closer reading of OpenAI’s paper reveals something different from what the company’s framing of objectivity suggests. The company never actually defines what it means by “bias.” And its evaluation axes show that it’s focused on stopping ChatGPT from several behaviors: acting like it has personal political opinions, amplifying users’ emotional political language, and providing one-sided coverage of contested topics. – https://arstechnica.com/ai/2025/10/openai-wants-to-stop-chatgpt-from-validating-users-political-views/
Generative AI’s Productivity Myth
(Eryk Salvaggio – Tech Policy Press – 13 October 2025) People may be using artificial intelligence, but that doesn’t mean it’s useful. OpenAI released a report last month looking at how consumers are using ChatGPT, finding that nearly 80% turned to it for “practical guidance,” for “seeking information” or for “writing,” and that nearly 70% of their usage was not work-related. The push to maximize productivity is at the heart of the current rush to adopt AI. It’s baked into every pitch, from Google’s personalized chatbot assistants promising that users can “get more done on the go,” to OpenAI promising that companies can “unlock productivity at scale,” and even the United States government gutting its workforce and speeding up its AI adoption under the guise of “efficiency.”. It’s worth reminding ourselves of why efficiency matters. Labor productivity is valued because it raises profits. Economists suggest that “growing the pie” drives up wages, tax bases and therefore standards of living. As a result, both businesses and politicians have embraced “the exceptional benefits that a flourishing AI ecosystem could offer our economy and our productivity.” Corporate growth typically requires investment into employees or resources, so cheap resources with strong returns are alluring. Sales pitches for AI anchor it as a resource that amplifies the productivity of employees, and some companies have cited AI as justification to lay off employees. – https://www.techpolicy.press/generative-ais-productivity-myth/
A Joint International AI Lab: Design Considerations
(Duncan Cass-Beggs, Matthew da Mota, Abhiram Reddy – CIGI – 10 October 2025) Suppose that nations became so concerned about the risks from advanced artificial intelligence (AI) that they were willing to consider bold and ambitious international coordination proposals. One such proposal involves the establishment of a new international AI authority responsible for the safe and secure development of highly advanced AI systems. This paper expands on this idea by exploring design considerations for a joint international AI lab. First, it describes motivations: why nations may come together to participate in an international joint lab. The joint lab proposal is also compared to a proposal for a national “AGI Manhattan Project,” discussing some of the merits and drawbacks of each approach. Second, the paper discusses the purposes of a joint lab and its main objectives. Third, the paper outlines the governance of the joint lab. Drawing on precedents from Biosafety Level 4 (BSL-4) labs, the paper explains how the lab would operate and make critical decisions. Research and information security is discussed (techniques that the joint lab would use to prevent key parameters or insights from being stolen or leaked), as well as emergency protocols (techniques the lab would use to detect and prevent potential global security emergencies). Finally, the paper highlights the limitations of this proposal and open questions for future research. – https://www.cigionline.org/publications/a-joint-international-ai-lab-design-considerations/
Legislation
Newsom signs AI safety law but bends to lobby from big tech
(Cybernews – 14 October 2025) California’s governor, Gavin Newsom, has signed landmark legislation aimed at protecting children from risks posed by artificial intelligence (AI), but vetoed the bill restricting underage users’ access to chatbots. SB 243, a bill signed on Monday (October 13th), requires companies operating chatbots to issue a clear warning every three hours, reminding the user to take a break and that they are interacting with AI, not a human. Companies operating chatbots also must maintain a protocol for preventing the production of suicidal ideation, suicide, or self-harm content to the user. There’s a growing concern about the impact AI has on children. Last year, 16-year-old Adam Raine took his own life after confiding in a chatbot. His parents are suing the chatbot’s creator, OpenAI, alleging it validated Raine’s “most harmful and self-destructive thoughts.” – https://cybernews.com/ai-news/california-ai-safety-bill/
Geostrategies
Cities take on tech giants in a new diplomatic arena
(DigWatch – 14 October 2025) In a world once defined by borders and treaties, a new kind of diplomacy is emerging, one where cities, not nations, take the lead. Instead of traditional embassies, this new diplomacy unfolds in startup hubs and conference halls, where ‘tech ambassadors’ represent cities in negotiations with powerful technology companies. These modern envoys focus not on trade tariffs but on data sharing, digital infrastructure, and the balance between innovation and public interest. The growing influence of global tech firms has shifted the map of power. – https://dig.watch/updates/cities-take-on-tech-giants-in-a-new-diplomatic-arena – https://www.diplomacy.edu/blog/can-cities-tame-big-tech/
Defence, Military, and Warfare
Making Sense of Britain’s Digital Targeting Web
(Noah Sylvia and Major Laurence Thomson – RUSI – 13 October 2025) The UK’s Digital Targeting Web promises cross-domain targeting fit for the modern digitalised battlefield – but organisational complexity, procurement and funding challenges and a dearth of outcome metrics threaten to make its delivery targets more aspirational than assured. Over two decades after the UK’s drive for Network Enabled Capability (NEC), joint low-latency targeting is seemingly within reach: a web of lethal, cross-cued sensors and weapons, augmented by artificial intelligence. But there are hurdles ahead. The near and long-term development of the UK’s Digital Targeting Web (DTW) is ambitious and holds promise; however, its development and subsequent introduction to Defence depends on more than just modern technology. – https://www.rusi.org/explore-our-research/publications/commentary/making-sense-britains-digital-targeting-web
Boeing unveils concept for Army unmanned tiltrotor aircraft amid military push for drones
(Thomas Novelly – Defense One – 13 October 2025) Boeing is designing a tiltrotor drone wingman concept to support the Army’s helicopter fleet, similar to the Air Force’s push for collaborative combat aircraft, as the Army rushes to field unmanned drones. Renderings for the CxR aircraft revealed by Boeing on Monday at the Association of the U.S. Army’s conference in Washington. The company’s pitch would place unmanned vertical-takeoff-and-landing aircraft alongside Army helicopters in combat and cargo operations. – https://www.defenseone.com/business/2025/10/boeing-unveils-concept-army-unmanned-tiltrotor-aircraft-amid-military-push-drones/408779/?oref=d1-featured-river-top
The Army wants AI to help man artillery and air defense units
(Meghann Myers – Defense One – 13 October 2025) The Army’s artillery community envisions a future where artificial intelligence will scan the battlefield and tell soldiers where they need to aim the missiles. Now they just have to wait for the technology to mature. Language learning models aren’t at the point where they can do spatial reasoning or real-time situational awareness and deliver a plan to a soldier to act on. But the Army is working on what they want that to eventually look like, said Maj. Gen. Frank Lozano, who heads Program Executive Office Missiles and Space. – https://www.defenseone.com/technology/2025/10/army-wants-ai-help-man-artillery-and-air-defense-units/408778/?oref=d1-featured-river-secondary
Anduril debuts Eagle Eye, a modular, AI-powered soldier headset
(Meghann Myers – Defense One – 13 October 2025) Anduril will display its entry into the Army’s Soldier Borne Mission Command program starting Monday at the AUSA annual meeting, CEO Palmer Lucky told reporters Thursday. Dubbed Eagle Eye, the program aims to produce four different head sets, two of which will be in the Anduril booth, with two more still in earlier phases of development. “We’ve been working on augmented-reality technology for warfighters since near the beginning of Anduril,” said Luckey, who invented the Oculus Rift virtual-reality headset over a decade ago. “It was one of the very first things that we started investing in, primarily building the software back end that would be able to properly feed a combat heads-up display.” – https://www.defenseone.com/defense-systems/2025/10/anduril-debuts-eagle-eye-modular-ai-powered-soldier-headset/408775/?oref=d1-homepage-river
Startup aims to reinvent battlefield medicine for the drone era
(Patrick Tucker – Defense One – 12 October 2025) A startup called Valinor has unveiled what is essentially a field hospital in a box—one with integrated software and data connectivity missing from today’s battlefield medicine. Harbor is a 20-foot shipping container that can be modified for different types of battlefield care, such as immediate damage control or prolonged casualty care. The exterior can be hardened against ballistics and it can be modified to power anti-drone defensive systems. Anduril is partnering with Valinor to allow telehealth over its Lattice mesh network to manage and reduce the unit’s electromagnetic signatures. – https://www.defenseone.com/technology/2025/10/startup-aims-reinvent-battlefield-medicine-drone-era/408770/
Security and Surveillance
When AI Agents Join the Teams: The Hidden Security Shifts No One Expects
(Ido Shlomo – Bleeping Computer – 14 October 2025) AI assistants are no longer summarizing meeting notes, writing emails, and answering questions. They’re taking action, such as opening tickets, analyzing logs, managing accounts, and even automatically fixing incidents. Welcome to the age of agentic AI, which doesn’t just tell you what to do next – it does it for you. These agents are incredibly powerful, but they’re also introducing an entirely new kind of security risk. – https://www.bleepingcomputer.com/news/security/when-ai-agents-join-the-teams-the-hidden-security-shifts-no-one-expects/
Chinese hackers abuse geo-mapping tool for year-long persistence
(Bill Toulas – Bleeping Computer – 14 October 2025) Chinese state hackers remained undetected in a target environment for more than a year by turning a component in the ArcGIS geo-mapping tool into a web shell. The ArcGIS geographic information system (GIS) is developed by Esri (Environmental Systems Research Institute) and has support for server object extensions (SOE) that can extend the basic functionality. The software is used by municipalities, utilities, and infrastructure operators to collect, analyze, visualize, and manage spatial and geographic data through maps. – https://www.bleepingcomputer.com/news/security/chinese-hackers-abuse-geo-mapping-tool-for-year-long-persistence/
Private messages to military data: Satellites are leaking secrets, study shocks
(Interesting Engineering – 14 October 2025) A new study by researchers at the University of California, San Diego (UCSD), and the University of Maryland (UMD) has revealed that a vast portion of global satellite communications, including personal, corporate, and even military data, is being broadcast unencrypted and can be intercepted using less than $800 in off-the-shelf equipment. The team’s three-year investigation found that roughly half of all geostationary satellite signals are left vulnerable to eavesdropping. Using a small satellite receiver system set up on the roof of a UCSD building in San Diego, the researchers collected thousands of sensitive communications that were never intended to be public. – https://interestingengineering.com/culture/satellites-are-leaking-data-time
“Empty shelves and stalled production lines:” UK suffering four major cyberattacks a week
(Cybernews – 14 October 2025) “Nationally significant” cyberattacks in the UK more than doubled compared to last year. Disruptions at Marks & Spencer, the Co‑op Group, and Jaguar Land Rover grabbed the headlines, and over 200 other major breaches occurred in one year, NCSC said in a report. In the 12 months to August 2025, the UK National Cyber Security Centre (NCSC) analyzed 1,727 cybersecurity incident tips, 429 of which required support from the Incident Management Team. “Nationally significant” incidents more than doubled, from 89 incidents a year ago to 204 this year. A small fraction, 18, of them were categorized as highly significant in nature, 50% more than a year ago. – https://cybernews.com/security/major-cyberattacks-in-uk-double-ncsc-calls-for-action/
Crimson Collective breaches Colombia lottery, leaks winner data
(Cybernews – 14 October 2025) A new threat group referring to itself as Crimson Collective has claimed responsibility for a data breach at Loteria de Medellin, a state-operated lottery in Colombia. The gang even shared samples of sensitive information about prize winners. The gang announced the breach on its Telegram channel, saying it was leaking the data samples and selling the whole batch because the lottery organization failed to respond to its emails, which presumably demanded a ransom. Crimson Collective seems to have exfiltrated over 1TB of compressed data from the lottery. The group also publicly leaked samples of what appears to be highly sensitive personal and financial information belonging to prize winners. – https://cybernews.com/cybercrime/crimson-collective-colombia-lottery-data-breach/
Hackers can snoop on Android screens and steal sensitive data with zero permissions
(Cybernews – 24 October 2025) One pixel at a time, hackers can peer into Android screens and steal one-time passwords (OTP), private messages, or other sensitive data. Researchers have disclosed a high-severity “Pixnapping” attack method, demonstrating that likely all modern Android devices are affected. No Android device or app is safe from this new class of attack. The researchers have demonstrated that it works on Google and Samsung phones, and they were able to recover sensitive data from Gmail and Google accounts and apps like Signal, Authenticator, Venmo, and others. A team of researchers from the University of California, Berkeley, the University of Washington, and Carnegie Mellon University tested the exploit on Android versions 13-16, the Google Pixel versions 6-9, and the Samsung Galaxy S25. – https://cybernews.com/security/pixnapping-attack-enables-hackers-snoop-on-android-screens/
Before AI Exploits Our Chats, Let’s Learn from Social Media Mistakes
(Lucie-Aimée Kaffee, Giada Pistilli – Tech Policy Press – 13 September 2025) Meta is reportedly preparing to use data from generative AI interactions to target ads on Facebook and Instagram. It’s hard not to feel the déjà vu. In the 2010s, we slowly realized that our vacation photos, likes, and posts were not just “shared with friends” but the raw material of a surveillance economy. The Cambridge Analytica privacy scandal was the breaking point. The outrage that followed changed laws and norms. Many privacy-conscious social media users learned to read privacy policies, switch to encrypted messengers, and ask how “free” products made their money. And yet, a decade later, many of us are having far more personal exchanges with generative AI systems than we ever had on Facebook or Instagram, without asking any of those same questions. If these interactions are folded into targeted advertising, then intimacy itself becomes the new frontier of surveillance and monetization. – https://www.techpolicy.press/before-ai-exploits-our-chats-lets-learn-from-social-media-mistakes/
Frontiers
EU expands network of AI Factories
(DigWatch – 14 October 2025) The European Commission has announced the addition of six new AI Factories, increasing the total to 19 facilities across 16 Member States. The new centres in the Czech Republic, Lithuania, the Netherlands, Romania, Spain, and Poland will give startups, SMEs, and industry access to AI-optimised supercomputers and support. – https://dig.watch/updates/eu-expands-network-of-ai-factories – https://digital-strategy.ec.europa.eu/en/news/eu-expands-network-ai-factories-strengthening-its-ai-continent-ambition
‘AI City Vizag’ moves ahead with ₹80,000-crore Google hyperscale campus in India
(DigWatch – 14 October 2025) Andhra Pradesh will sign an agreement with Google on Tuesday for a 1-gigawatt hyperscale data centre in Visakhapatnam. Officials describe the ₹80,000-crore investment as a centrepiece of ‘AI City Vizag’. Plans include clean-energy integration and resilient subsea and terrestrial connectivity. The campus will deploy Google’s full AI stack to accelerate AI-driven transformation across India. Infrastructure, data-centre capacity, large-scale energy, and expanded fibre converge in one hub. Design targets reliability, scalability, and seamless links into Google’s global network. – https://dig.watch/updates/ai-city-vizag-moves-ahead-with-%e2%82%b980000-crore-google-hyperscale-campus-in-india
Nvidia DGX Spark launches as the world’s smallest AI supercomputer
(DigWatch – 14 October 2025) Nvidia has launched the DGX Spark, described as the world’s smallest AI supercomputer. Designed for developers and smaller enterprises, the Spark offers data centre-level performance without the need for costly AI server infrastructure or cloud rentals. It features Nvidia’s GB10 Grace Blackwell superchip, ConnectX-7 networking, and the company’s complete AI software stack. – https://dig.watch/updates/nvidia-dgx-spark-launches-as-the-worlds-smallest-ai-supercomputer – https://nvidianews.nvidia.com/news/nvidia-dgx-spark-arrives-for-worlds-ai-developers
Vodafone and Samsung expand Open RAN deployment across Europe
(DigWatch – 14 October 2025) Samsung Electronics has been chosen by Vodafone as a primary partner to deploy virtualised RAN and Open RAN networks in Germany and several European countries. The agreement builds on previous collaborations and represents one of the largest Open RAN projects in Europe. Germany will serve as the first and main market, with thousands of sites planned, including a full deployment in Wismar by early 2026. The rollout will expand across Europe over five years, beginning with a live site already operating in Hannover. – https://dig.watch/updates/vodafone-and-samsung-expand-open-ran-deployment-across-europe – https://news.samsung.com/global/samsung-selected-by-vodafone-to-provide-virtualized-ran-and-open-ran-solutions-in-germany-and-other-european-countries
Microsoft strengthens UAE AI infrastructure
(DigWatch – 14 October 2025) Microsoft has announced a strategic investment to enable in-country data processing for Microsoft 365 Copilot in the UAE. The service will be available to qualified UAE organisations in early 2026, hosted in Microsoft’s Dubai and Abu Dhabi cloud centres for secure, local AI processing. The move aligns with the UAE’s ambition to become a global AI hub, supported by initiatives such as the National Artificial Intelligence Strategy 2031 and the Dubai Universal Blueprint for AI. – https://dig.watch/updates/microsoft-strengthens-uae-ai-infrastructure – https://news.microsoft.com/source/emea/2025/10/microsoft-announces-in-country-data-processing-for-microsoft-365-copilot-in-the-uae-to-accelerate-ai-adoption/
Microsoft introduces its first text-to-image model and promises better pictures
(Cybernews – 14 October 2025) After releasing its own artificial intelligence models, Microsoft has announced another AI-powered tool: its first text-to-image model. The company says that its image generation model, MAI-Image-1, is already among the top 10 text-to-image models on LMArena, a platform that evaluates large language models. Microsoft shared that the aim of this model is to provide users with valuable outputs, “avoiding repetitive or generically-styled” production. To achieve that, the company gathered feedback from industry professionals, prioritizing data that provides insights into “real-world creative use cases.” – https://cybernews.com/ai-news/microsoft-first-text-to-image-model/
IonQ Quantum Computing Achieves Greater Accuracy Simulating Complex Chemical Systems to Potentially Slow Climate Change
(Quantum Insider – 14 October 2025) IonQ demonstrated a new quantum-classical algorithm that accurately computes atomic-level forces, marking progress in applying quantum computing to complex chemical systems. The QC-AFQMC algorithm, developed with a Global 1000 automotive partner, achieved higher accuracy than classical methods and enables modeling of materials for efficient carbon capture. By calculating nuclear forces at critical reaction points, the approach integrates with classical workflows to improve reaction pathway modeling across sectors such as pharmaceuticals, batteries, and decarbonization. – https://thequantuminsider.com/2025/10/14/ionq-quantum-computing-achieves-greater-accuracy-simulating-complex-chemical-systems-to-potentially-slow-climate-change/
Industrial Automation Firm Caracol Raises $40M Series B Funding
(AI Insider – 14 October 2025) Caracol raised $40M in an oversubscribed Series B co-led by Omnes Capital and Move Capital (with CDP Venture Capital), to scale its large-format robotic manufacturing globally across Europe, the U.S., the Middle East, and APAC. Funds will deepen multi-process, multi-material platforms with software, automation, and AI for data-driven quality, ramp metal additive manufacturing for regulated sectors (aerospace/defense, energy, maritime), and expand polymer solutions in transportation, construction, and architecture. The company reports 100+ platforms installed, revenues more than doubling year over year, 100+ staff across Milan/Austin/Dubai with presence in 50+ countries, and recent milestones including a Texas HQ expansion and acquisition of Hans Weber’s additive robotic IP. – https://theaiinsider.tech/2025/10/14/industrial-automation-firm-caracol-raises-40m-series-b-funding/
Yamaha and Toyo Establish Joint Robotics Firm TY Robotics
(AI Insider – 14 October 2025) Yamaha Motor and Taiwan’s Toyo Automation formed TY Robotics in August on Yamaha’s Miyakoda campus to take over single-axis and Cartesian robot production, with manufacturing slated to begin January 2026. The JV is 81% owned by Toyo and 19% by Yamaha, capitalized at ¥99 million, led by Ryuichi Miura, and will manufacture, sell, and service actuators and industrial robots to expand the lineup and cut order-to-ship lead times. The deal formalizes a partnership dating to Yamaha’s 2019 investment and OEM ties with Toyo, which reported TWD 1.86B FY2024 revenue amid semiconductor, smartphone, and factory automation demand. – https://theaiinsider.tech/2025/10/14/yamaha-and-toyo-establish-joint-robotics-firm-ty-robotics/