Digital business models

MIT advances cooling for scalable quantum chips

MIT researchers have demonstrated a faster, more energy-efficient cooling technique for scalable trapped-ion quantum chips. The solution addresses a long-standing challenge in reducing vibration-related errors that limit the performance of quantum systems.

The method uses integrated photonic chips with nanoscale antennas that emit tightly controlled light beams. Using polarisation-gradient cooling, the system cools ions to nearly ten times below standard laser limits, and does so much faster.

Unlike conventional trapped-ion systems that depend on bulky external optics, the chip-based design generates stable light patterns directly on the device. The stability improves accuracy and supports scaling to thousands of ions on a single chip.

Researchers say the breakthrough lays the groundwork for more reliable quantum operations and opens new possibilities for advanced ion control, bringing practical, large-scale quantum computing closer to reality.

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OpenAI outlines advertising plans for ChatGPT access

The US AI firm, OpenAI, has announced plans to test advertising within ChatGPT as part of a broader effort to widen access to advanced AI tools.

An initiative that focuses on supporting the free version and the low-cost ChatGPT Go subscription, while paid tiers such as Plus, Pro, Business, and Enterprise will continue without advertisements.

According to the company, advertisements will remain clearly separated from ChatGPT responses and will never influence the answers users receive.

Responses will continue to be optimised for usefulness instead of commercial outcomes, with OpenAI emphasising that trust and perceived neutrality remain central to the product’s value.

User privacy forms a core pillar of the approach. Conversations will stay private, data will not be sold to advertisers, and users will retain the ability to disable ad personalisation or remove advertising-related data at any time.

During early trials, ads will not appear for accounts linked to users under 18, nor within sensitive or regulated areas such as health, mental wellbeing, or politics.

OpenAI describes advertising as a complementary revenue stream rather than a replacement for subscriptions.

The company argues that a diversified model can help keep advanced intelligence accessible to a wider population, while maintaining long term incentives aligned with user trust and product quality.

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New Steam rules redefine when AI use must be disclosed

Steam has clarified its position on AI in video games by updating the disclosure rules developers must follow when publishing titles on the platform.

The revision arrives after months of industry debate over whether generative AI usage should be publicly declared, particularly as storefronts face growing pressure to balance transparency with practical development realities.

Under the updated policy, disclosure requirements apply exclusively to AI-generated material consumed by players.

Artwork, audio, localisation, narrative elements, marketing assets and content visible on a game’s Steam page fall within scope, while AI tools used purely during development remain outside Valve’s interest.

Developers using code assistants, concept ideation tools or AI-enabled software features without integrating outputs into the final player experience no longer need to declare such usage.

Valve’s clarification signals a more nuanced stance than earlier guidance introduced in 2024, which drew criticism for failing to reflect how AI tools are used in modern workflows.

By formally separating player-facing content from internal efficiency tools, Steam acknowledges common industry practices without expanding disclosure obligations unnecessarily.

The update offers reassurance to developers concerned about stigma surrounding AI labels while preserving transparency for consumers.

Although enforcement may remain largely procedural, the written clarification establishes clearer expectations and reduces uncertainty as generative technologies continue to shape game production.

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Kazakhstan adopts AI robotics for orthopaedic surgery

Kazakhstan has introduced an AI-enabled robotic system in Astana to improve the accuracy and efficiency of orthopaedic surgeries. The technology supports more precise surgical planning and execution.

The system was presented during an event highlighting growing cooperation between Kazakhstan and India in medical technologies. Officials from both countries emphasised knowledge exchange and joint progress in advanced healthcare solutions.

Health authorities say robotic assistance could help narrow the gap between performed joint replacements and unmet patient demand. Standardised procedures and improved precision are expected to raise treatment quality nationwide.

The initiative builds on recent medical advances, including Kazakhstan’s first robot-assisted heart surgery in Astana. Authorities view such technologies as part of broader efforts to modernise healthcare funding and expand access to high-tech treatment.

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New ETSI standard defines cybersecurity rules for AI systems

ETSI has released ETSI EN 304 223, a new European Standard establishing baseline cybersecurity requirements for AI systems.

Approved by national standards bodies, the framework becomes the first globally applicable EN focused specifically on securing AI, extending its relevance beyond European markets.

The standard recognises that AI introduces security risks not found in traditional software. Threats such as data poisoning, indirect prompt injection and vulnerabilities linked to complex data management demand tailored defences instead of conventional approaches alone.

ETSI EN 304 223 combines established cybersecurity practices with targeted measures designed for the distinctive characteristics of AI models and systems.

Adopting a full lifecycle perspective, the ETSI framework defines thirteen principles across secure design, development, deployment, maintenance and end of life.

Alignment with internationally recognised AI lifecycle models supports interoperability and consistent implementation across existing regulatory and technical ecosystems.

ETSI EN 304 223 is intended for organisations across the AI supply chain, including vendors, integrators and operators, and covers systems based on deep neural networks, including generative AI.

Further guidance is expected through ETSI TR 104 159, which will focus on generative AI risks such as deepfakes, misinformation, confidentiality concerns and intellectual property protection.

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AI technology aim to detect emotional distress and depression sooner

A University of Auckland researcher is developing AI tools to identify early signs of depression in young men. The work focuses on using physiological and behavioural data to offer personalised, early-stage mental health support.

Led by bioengineering researcher Kunal Gupta, the research uses data from devices such as smart watches to detect stress or low mood early. The approach aims to complement existing mental health services rather than replace professional care.

One project, Tōku Hoa, uses an AI-powered virtual companion that responds to biological signals and daily behaviour to encourage small, practical actions. The system is designed to help users recognise patterns in mood and stress over time.

With clinical and community testing planned, the research highlights the potential of adaptive AI systems to provide earlier, more personalised mental health support for young men who are often reluctant to seek help.

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How autonomous vehicles shape physical AI trust

Physical AI is increasingly embedded in public and domestic environments, from self-driving vehicles to delivery robots and household automation. As intelligent machines begin to operate alongside people in shared spaces, trust emerges as a central condition for adoption instead of technological novelty alone.

Autonomous vehicles provide the clearest illustration of how trust must be earned through openness, accountability, and continuous engagement.

Self-driving systems address long-standing challenges such as road safety, congestion, and unequal access to mobility by relying on constant perception, rule-based behaviour, and fatigue-free operation.

Trials and early deployments suggest meaningful improvements in safety and efficiency, yet public confidence remains uneven. Social acceptance depends not only on performance outcomes but also on whether communities understand how systems behave and why specific decisions occur.

Dialogue plays a critical role at two levels. Ongoing communication among policymakers, developers, emergency services, and civil society helps align technical deployment with social priorities such as safety, accessibility, and environmental impact.

At the same time, advances in explainable AI allow machines to communicate intent and reasoning directly to users, replacing opacity with interpretability and predictability.

The experience of autonomous vehicles suggests a broader framework for physical AI governance centred on demonstrable public value, transparent performance data, and systems capable of explaining behaviour in human terms.

As physical AI expands into infrastructure, healthcare, and domestic care, trust will depend on sustained dialogue and responsible design rather than the speed of deployment alone.

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Verizon responds to major network outage

A large-scale network disruption has been confirmed by Verizon, affecting wireless voice, messaging, and mobile data services and leaving many customer devices operating in SOS mode across several regions.

The company acknowledged service interruptions during Wednesday afternoon and evening, while emergency calling capabilities remained available.

Additionally, the telecom provider issued multiple statements apologising for the disruption and pledged to provide account credits to impacted customers. Engineering teams were deployed throughout the incident, with service gradually restored later in the day.

Verizon advised users still experiencing connectivity problems to restart their devices once normal operations resumed.

Despite repeated updates, the company has not disclosed the underlying cause of the outage. Independent outage-tracking platforms described the incident as a severe breakdown in cellular connectivity, with most reports citing complete signal loss and mobile phone failures.

Verizon stated that further updates would be shared following internal reviews, while rival mobile networks reported no comparable disruptions during the same period.

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TikTok faces perilous legal challenge over child safety concerns

British parents suing TikTok over the deaths of their children have called for greater accountability from the platform, as the case begins hearings in the United States. One of the claimants said social media companies must be held accountable for the content shown to young users.

Ellen Roome, whose son died in 2022, said the lawsuit is about understanding what children were exposed to online.

The legal filing claims the deaths were a foreseeable result of TikTok’s design choices, which allegedly prioritised engagement over safety. TikTok has said it prohibits content that encourages dangerous behaviour.

Roome is also campaigning for proposed legislation that would allow parents to access their children’s social media accounts after a death. She said the aim is to gain clarity and prevent similar tragedies.

TikTok said it removes most harmful content before it is reported and expressed sympathy for the families. The company is seeking to dismiss the case, arguing that the US court lacks jurisdiction.

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Microsoft urges systems approach to AI skills in Europe

AI is increasingly reshaping European workplaces, though large-scale job losses have not yet materialised. Studies by labour bodies show that tasks change faster than roles disappear.

Policymakers and employers face pressure to expand AI skills while addressing unequal access to them. Researchers warn that the benefits and risks concentrate among already skilled workers and larger organisations.

Education systems across Europe are beginning to integrate AI literacy, including teacher training and classroom tools. Progress remains uneven between countries and regions.

Microsoft experts say workforce readiness will depend on evidence-based policy and sustained funding. Skills programmes alone may not offset broader economic and social disruption from AI adoption.

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