EU and Switzerland deepen research ties through Horizon Europe agreement

Switzerland has formally joined Horizon Europe, the EU’s flagship research and innovation programme, together with Digital Europe and the Euratom Research and Training Programme.

An agreement, signed in Bern by Commissioner Ekaterina Zaharieva and Federal Councillor Guy Parmelin, that grants Swiss researchers the same status as their EU counterparts.

They can now lead projects, receive EU funding, and access every thematic pillar, reinforcing cross-border collaboration in fields such as climate technology, digital transformation, and energy security.

The accord, effective from 1 January 2025, also enables Switzerland to become a member of Fusion for Energy in 2026, thereby integrating its researchers into ITER, the world’s largest fusion energy initiative.

Plans include Swiss participation in Erasmus+ from 2027 and in the EU4Health programme once a separate health agreement takes effect.

A development that forms part of a broader package designed to deepen EU–Swiss relations and modernise cooperation frameworks across science, technology, and education.

The European Commission reaffirmed its commitment to finalising ratification of all related agreements, ensuring long-term collaboration and strengthening Europe’s position as a global leader in innovation and research.

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AI-powered Google Photos features land on iOS, search expands to 100+ countries

Google Photos is introducing prompt-based edits, an ‘Ask’ button, and style templates across iOS and Android. In the US, iPhone users can describe edits by voice or text, with a redesigned editor for faster controls. The rollout builds on the August Pixel 10’s debut of prompt editing.

Personalised edits now recognise people from face groups, so you can issue multi-person requests, such as removing sunglasses or opening eyes. Find it under ‘Help me edit’, where changes apply to each named person. It’s designed for faster, more granular everyday fixes.

A new Ask button serves as a hub for AI requests, from questions about a photo to suggested edits and related moments. The interface surfaces chips that hint at actions users can take. The Ask experience is rolling out in the US on both iOS and Android.

Google is also adding AI templates that turn a single photo into set formats, such as retro portraits or comic-style panels. The company states that its Nano Banana model powers these creative styles and that templates will be available next week under the Create tab on Android in the US and India.

AI search in Google Photos, first launched in the US, is expanding to over 100 countries with support for 17 languages. Markets include Argentina, Australia, Brazil, India, Japan, Mexico, Singapore, and South Africa. Google says this brings natural-language photo search to a far greater number of users.

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€5.5bn Google plan expands German data centres, carbon-free power and skills programmes

Google will invest €5.5bn in Germany from 2026 to 2029, adding a Dietzenbach data centre and expanding its Hanau facility. It will expand offices in Berlin, Frankfurt, and Munich, and launch skilling and a first German heat-recovery project. Estimated impact: ~€1.016bn GDP and ~9,000 jobs annually.

Dietzenbach will strengthen German cloud regions within Google’s 42-region network, used by firms such as Mercedes-Benz. Google Cloud highlights Vertex AI, Gemini, and sovereign options for local compliance. Continued Hanau investment supports low-latency AI workloads.

Google and Engie will extend 24/7 Carbon-Free Energy in Germany through 2030, adding new wind and solar. The portfolio will be optimised with storage and Ørsted’s Borkum Riffgrund 3. Operations are projected to be 85% carbon-free in 2026.

A partnership with Energieversorgung Offenbach will utilise excess data centre heat to feed into Dietzenbach’s district network, serving over 2,000 households. Water work includes wetland protection with NABU in Hesse’s Büttelborn Bruchwiesen. Google reiterates its 24/7 carbon-free goal.

Office expansion includes Munich’s Arnulfpost for up to 2,000 staff, Frankfurt’s Global Tower space, and additional floors in Berlin. Local partnerships will fund digital skills and STEM programmes. Officials and customers welcomed the move for its benefits to infrastructure, sovereignty, and innovation.

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Banks and insurers pivot to AI agents at scale, Capgemini finds

Agentic AI is expected to deliver up to $450 billion in value by 2028, as financial institutions shift frontline processes to AI agents, according to Capgemini’s estimates. Banks start with customer service before expanding into fraud detection, lending, and onboarding, while insurers report similar priorities.

To seize the opportunity, 33% of banks are building agents in-house, while 48% of institutions are creating human supervisor roles. Cloud’s role is expanding beyond infrastructure, with 61% of executives calling cloud-based orchestration critical to scaling.

Adoption is accelerating but uneven. Four in five firms are in ideation or pilots, yet only 10% run agents at scale. Executives expect gains in real-time decision-making, accuracy, and turnaround, especially across onboarding, KYC, loan processing, underwriting, and claims.

Leaders also see growth levers. Most expect agents to support entry into new geographies, enable dynamic pricing, and deliver multilingual services that respect local norms and rules. Budgets reflect this shift, with up to 40% of generative AI spend already earmarked for agents.

Barriers persist. Skills shortages and regulatory complexity top the list of concerns, alongside high implementation costs. A quarter of firms are exploring ‘service-as-a-software’ models, paying for outcomes such as the resolution of fraud cases or the handling of customer queries.

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The AI soldier and the ethics of war

The rise of the machine soldier

For decades, Western militaries have led technological revolutions on the battlefield. From bows to tanks to drones, technological innovation has disrupted and redefined warfare for better or worse. However, the next evolution is not about weapons, it is about the soldier.

New AI-integrated systems such as Anduril’s EagleEye Helmet are transforming troops into data-driven nodes, capable of perceiving and responding with machine precision. This fusion of human and algorithmic capabilities is blurring the boundary between human roles and machine learning, redefining what it means to fight and to feel in war.

Today’s ‘AI soldier’ is more than just enhanced. They are networked, monitored, and optimised. Soldiers now have 3D optical displays that give them a god’s-eye view of combat, while real-time ‘guardian angel’ systems make decisions faster than any human brain can process.

Yet in this pursuit of efficiency, the soldier’s humanity and the rules-based order of war risk being sidelined in favour of computational power.

From soldier to avatar

In the emerging AI battlefield, the soldier increasingly resembles a character in a first-person shooter video game. There is an eerie overlap between AI soldier systems and the interface of video games, like Metal Gear Solid, where augmented players blend technology, violence, and moral ambiguity. The more intuitive and immersive the tech becomes, the easier it is to forget that killing is not a simulation.

By framing war through a heads-up display, AI gives troops an almost cinematic sense of control, and in turn, a detachment from their humanity, emotions, and the physical toll of killing. Soldiers with AI-enhanced senses operate through layers of mediated perception, acting on algorithmic prompts rather than their own moral intuition. When soldiers view the world through the lens of a machine, they risk feeling less like humans and more like avatars, designed to win, not to weigh the cost.

The integration of generative AI into national defence systems creates vulnerabilities, ranging from hacking decision-making systems to misaligned AI agents capable of escalating conflicts without human oversight. Ironically, the same guardrails that prevent civilian AI from encouraging violence cannot apply to systems built for lethal missions.

The ethical cost

Generative AI has redefined the nature of warfare, introducing lethal autonomy that challenges the very notion of ethics in combat. In theory, AI systems can uphold Western values and ethical principles, but in practice, the line between assistance and automation is dangerously thin.

When militaries walk this line, outsourcing their decision-making to neural networks, accountability becomes blurred. Without the basic principles and mechanisms of accountability in warfare, states risk the very foundation of rules-based order. AI may evolve the battlefield, but at the cost of diplomatic solutions and compliance with international law.  

AI does not experience fear, hesitation, or empathy, the very qualities that restrain human cruelty. By building systems that increase efficiency and reduce the soldier’s workload through automated targeting and route planning, we risk erasing the psychological distinction that once separated human war from machine-enabled extermination. Ethics, in this new battlescape, become just another setting in the AI control panel. 

The new war industry 

The defence sector is not merely adapting to AI. It is being rebuilt around it. Anduril, Palantir, and other defence tech corporations now compete with traditional military contractors by promising faster innovation through software.

As Anduril’s founder, Palmer Luckey, puts it, the goal is not to give soldiers a tool, but ‘a new teammate.’ The phrasing is telling, as it shifts the moral axis of warfare from command to collaboration between humans and machines.

The human-machine partnership built for lethality suggests that the military-industrial complex is evolving into a military-intelligence complex, where data is the new weapon, and human experience is just another metric to optimise.

The future battlefield 

If the past century’s wars were fought with machines, the next will likely be fought through them. Soldiers are becoming both operators and operated, which promises efficiency in war, but comes with the cost of human empathy.

When soldiers see through AI’s lens, feel through sensors, and act through algorithms, they stop being fully human combatants and start becoming playable characters in a geopolitical simulation. The question is not whether this future is coming; it is already here. 

There is a clear policy path forward, as states remain tethered to their international obligations. Before AI blurs the line between soldier and system, international law could enshrine a human-in-the-loop requirement for all lethal actions, while defence firms are compelled to maintain high ethical transparency standards.

The question now is whether humanity can still recognise itself once war feels like a game, or whether, without safeguards, it will remain present in war at all.

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Nvidia stake sale powers SoftBank’s $22.5bn OpenAI bet

SoftBank sold its entire Nvidia stake for $5.83 billion and part of its T-Mobile holding for $9.17 billion, raising cash for OpenAI. Alongside a margin loan on Arm, the proceeds fund a $22.5 billion commitment and other projects. Nvidia slipped 2%; SoftBank referred to it as asset monetisation, not a valuation call.

Executives said the goal is an investor opportunity with balance-sheet strength, including backing for ABB’s robotics deal. Analysts called the quarter’s funding need unusually large but consistent with an AI pivot. SoftBank said the sale recycles capital, not a retreat from Nvidia.

SoftBank has a history with Nvidia: the Vision Fund invested in 2017 and exited in 2019; group ventures still utilise its technology. Projects include the $500 billion Stargate data centre programme, built on accelerated computing. Shares remain volatile amid concerns about the AI bubble and questions regarding the timing of deployment.

Results reflected the shift, with $19 billion in Vision Fund gains helping to double profit in fiscal Q2. SoftBank says its OpenAI stake will rise from 4% to 11% after the recapitalisation, with scope to increase further. The group aims to avoid setting a controlling threshold while scaling exposure to AI.

Management stressed liquidity and shareholder access, flagging a four-for-one stock split and ‘very safe’ funding plans. Further portfolio monetisation is possible as it backs AI infrastructure and applications at scale. Investors will closely monitor execution risks and the timing of returns from OpenAI and its adjacent bets.

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Vision AI Companion turns Samsung TVs into conversational AI platforms

Samsung has unveiled the Vision AI Companion, an advanced conversational AI platform designed to transform the television into a connected household hub.

Unlike voice assistants meant for personal devices, the Vision AI Companion operates on the communal screen, enabling families to ask questions, plan activities, and receive visualised, contextual answers through natural dialogue.

Built into Samsung’s 2025 TV lineup, the system integrates an upgraded Bixby and supports multiple large language models, including Microsoft Copilot and Perplexity.

With its multi-AI agent platform, Vision AI Companion allows users to access personalised recommendations, real-time information, and multimedia responses without leaving their current programme.

It supports 10 languages and includes features such as Live Translate, AI Gaming Mode, Generative Wallpaper, and AI Upscaling Pro. The platform runs on One UI Tizen, offering seven years of software upgrades to ensure longevity and security.

By embedding generative AI into televisions, Samsung aims to redefine how households interact with technology, turning the TV into an intelligent companion that informs, entertains, and connects families across languages and experiences.

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Winning the AI race means winning developers in China, says Huang of Nvidia

Nvidia CEO Jensen Huang said China is ‘nanoseconds’ behind the US in AI and urged Washington to lead by accelerating innovation and courting developers globally. He argued that excluding China would weaken the reach of US technology and risk splintering the ecosystem into incompatible stacks.

Huang’s remarks came amid ongoing export controls that bar Nvidia’s most advanced processors from the Chinese market. He acknowledged national security concerns but cautioned that strict limits can slow the spread of American tools that underpin AI research, deployment, and scaling.

Hardware remains central, Huang said, citing advanced accelerators and data-centre capacity as the substrate for training frontier models. Yet diffusion matters: widespread adoption of US platforms by global developers amplifies influence, reduces fragmentation, and accelerates innovation.

With sales of top-end chips restricted, Huang warned that Chinese firms will continue to innovate on domestic alternatives, increasing the likelihood of parallel systems. He called for policies that enable US leadership while preserving channels to the developer community in China.

Huang framed the objective as keeping America ahead, maintaining the world’s reliance on an American tech stack, and avoiding strategies that would push away half the world’s AI talent.

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The Inca system that preceded the digital age

Long before the internet and instant messaging, the Inca Empire built its own intricate communication web that spanned thousands of kilometres across the Andes.

In his blog post ‘Quipus and chasquis: The Inca internet of diplomacy,’ Jovan Kurbalija explores how this ancient civilisation mastered the art of connecting people and information without written language or digital tools, relying instead on an ingenious blend of data, logistics, and human networks.

At the heart of this system were the quipus, bundles of knotted cords that stored census data, taxes, inventories, and decrees. Each knot, colour, and string length encoded information much like modern databases do today. Far from being primitive, quipus functioned as the Incas’ version of data storage and computation, a tangible form of coding that required skilled interpreters to read and maintain.

The chasquis, on the other hand, were the living couriers of the empire, elite runners who relayed quipus and oral messages across vast distances using a network of mountain roads. Their relay system ensured that vital information could travel hundreds of kilometres within a day, forming what Kurbalija calls a ‘human internet.’ That combination of endurance, coordination, and trust made the Inca communication network remarkably efficient and resilient.

Beyond its technical brilliance, the Inca system carried a deeper diplomatic purpose. Communication was the glue that held together a vast and diverse empire. By integrating technology, logistics, and human skill, the Incas created a model of governance that balanced diversity and unity.

As Kurbalija concludes, the story of the quipus and chasquis offers a timeless lesson for modern diplomacy. Technology alone does not sustain communication; people do. Whether through knotted cords or encrypted data cables, the challenge remains the same, which is to move information wisely, build trust, and connect societies.

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Google flags adaptive malware that rewrites itself with AI

Hackers are experimenting with malware that taps large language models to morph in real time, according to Google’s Threat Intelligence Group. An experimental family dubbed PROMPTFLUX can rewrite and obfuscate its own code as it executes, aiming to sidestep static, signature-based detection.

PROMPTFLUX interacts with Gemini’s API to request on-demand functions and ‘just-in-time’ evasion techniques, rather than hard-coding behaviours. GTIG describes the approach as a step toward more adaptive, partially autonomous malware that dynamically generates scripts and changes its footprint.

Investigators say the current samples appear to be in development or testing, with incomplete features and limited Gemini API access. Google says it has disabled associated assets and has not observed a successful compromise, yet warns that financially motivated actors are exploring such tooling.

Researchers point to a maturing underground market for illicit AI utilities that lowers barriers for less-skilled offenders. State-linked operators in North Korea, Iran, and China are reportedly experimenting with AI to enhance reconnaissance, influence, and intrusion workflows.

Defenders are turning to AI, using security frameworks and agents like ‘Big Sleep’ to find flaws. Teams should expect AI-assisted obfuscation, emphasise behaviour-based detection, watch model-API abuse, and lock down developer and automation credentials.

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