Digital standards

Canada advances quantum computing with a strategic $92 million public investment

Canada has launched a major new quantum initiative aimed at strengthening domestic technological sovereignty and accelerating the development of industrial-scale quantum computing.

Announced in Toronto, Phase 1 of the Canadian Quantum Champions Program forms part of a wider $334.3 million investment under Budget 2025 to expand Canada’s quantum ecosystem.

The programme will provide up to $92 million in initial funding, with agreements signed with Anyon Systems, Nord Quantique, Photonic and Xanadu Quantum Technologies for up to $23 million each.

A funding that is designed to support the development of fault-tolerant quantum computers capable of solving real-world problems, while anchoring advanced research, talent, and production in Canada, rather than allowing strategic capabilities to migrate abroad.

The initiative also supports Canada’s forthcoming Defence Industrial Strategy, reflecting the growing role of quantum technologies in cryptography, materials science and threat analysis.

Technical progress will be assessed through a new Benchmarking Quantum Platform led by the National Research Council of Canada, with further programme phases to be announced as development milestones are reached.

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Study warns that LLMs are vulnerable to minimal tampering

Researchers from Anthropic, the UK AI Security Institute and the Alan Turing Institute have shown that only a few hundred crafted samples can poison LLM models. The tests revealed that around 250 malicious entries could embed a backdoor that triggers gibberish responses when a specific phrase appears.

Models ranging from 600 million to 13 billion parameters (such as Pythia) were affected, highlighting the scale-independent nature of the weakness. A planted phrase such as ‘sudo’ caused output collapse, raising concerns about targeted disruption and the ease of manipulating widely trained systems.

Security specialists note that denial-of-service effects are worrying, yet deceptive outputs pose far greater risk. Prior studies already demonstrated that medical and safety-critical models can be destabilised by tiny quantities of misleading data, heightening the urgency for robust dataset controls.

Researchers warn that open ecosystems and scraped corpora make silent data poisoning increasingly feasible. Developers are urged to adopt stronger provenance checks and continuous auditing, as reliance on LLMs continues to expand for AI purposes across technical and everyday applications.

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Google boosts Translate with Gemini upgrades

Google is rolling out a major Translate upgrade powered by Gemini to improve text and speech translation. The update enhances contextual understanding so idioms, tone and intent are interpreted more naturally.

A beta feature for live headphone translation enables real-time speech-to-speech output. Gemini processes audio directly, preserving cadence and emphasis to improve conversations and lectures. Android users in the US, Mexico and India gain early access, with wider availability planned for 2026.

Translate is also gaining expanded language-learning tools for speaking practice and progress tracking. Additional language pairs, including English to German and Portuguese, broaden support for learners worldwide.

Google aims to reduce friction in global communication by focusing on meaning rather than literal phrasing. Engineers expect user feedback to shape the AI live translation beta across platforms.

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CES 2026 to feature LG’s new AI-driven in-car platform

LG Electronics will unveil a new AI Cabin Platform at CES 2026 in Las Vegas, positioning the system as a next step beyond today’s software-defined vehicles and toward what the company calls AI-defined mobility.

The platform is designed to run on automotive high-performance computing systems and is powered by Qualcomm Technologies’ Snapdragon Cockpit Elite. LG says it applies generative AI models directly to in-vehicle infotainment, enabling more context-aware and personalised driving experiences.

Unlike cloud-dependent systems, all AI processing occurs on-device within the vehicle. LG says this approach enables real-time responses while improving reliability, privacy, and data security by avoiding communication with external servers.

Using data from internal and external cameras, the system can assess driving conditions and driver awareness to provide proactive alerts. LG also demonstrated adaptive infotainment features, including AI-generated visuals and music suggestions that respond to weather, time, and driving context.

LG will showcase the AI Cabin Platform at a private CES event, alongside a preview of its AI-defined vehicle concept. The company says the platform builds on its expanding partnership with Qualcomm Technologies and on its earlier work integrating infotainment and driver-assistance systems.

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Conduit revolutionises neuro-language research with 10,000-hour dataset

A San Francisco start-up, named Conduit, has spent six months building what it claims is the largest neural language dataset ever assembled, capturing around 10,000 hours of non-invasive brain recordings from thousands of participants.

The project aims to train thought-to-text AI systems that interpret semantic intent from brain activity moments before speech or typing occurs.

Participants take part in extended conversational sessions instead of rigid laboratory tasks, interacting freely with large language models through speech or simplified keyboards.

Engineers found that natural dialogue produced higher quality data, allowing tighter alignment between neural signals, audio and text while increasing overall language output per session.

Conduit developed its own sensing hardware after finding no commercial system capable of supporting large-scale multimodal recording.

Custom headsets combine multiple neural sensing techniques within dense training rigs, while future inference devices will be simplified once model behaviour becomes clearer.

Power systems and data pipelines were repeatedly redesigned to balance signal clarity with scalability, leading to improved generalisation across users and environments.

As data volume increased, operational costs fell through automation and real time quality control, allowing continuous collection across long daily schedules.

With data gathering largely complete, the focus has shifted toward model training, raising new questions about the future of neural interfaces, AI-mediated communication and cognitive privacy.

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Europe risks falling behind without telecom scale, Telefónica says

Telefónica has called for a shift in Europe’s telecommunications policy, arguing that market fragmentation is undermining investment, digital competitiveness, and the continent’s technological sovereignty, according to a new blog post from the company.

In the post, Telefónica says Europe’s emphasis on maximising retail competition has produced a highly fragmented operator landscape. It cites industry data showing the average European operator serves around five million customers, far fewer than peers in the United States or China.

The company argues that this lack of scale explains Europe’s lower per-capita investment in telecoms infrastructure and is slowing the rollout of technologies such as standalone 5G, fibre networks, and sovereign cloud and AI platforms.

Telefónica points to recent reports by Mario Draghi and Enrico Letta as signs of a policy shift, with EU institutions placing greater weight on investment capacity, resilience, and dynamic efficiency alongside traditional competition objectives.

The blog post concludes that Europe faces a strategic choice between preserving fragmented markets or enabling responsible consolidation. Telefónica says carefully regulated mergers could support sustainability, reduce regional digital divides, and strengthen Europe’s digital infrastructure.

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How data centres affect electricity, prices, water consumption and jobs

Data centres have become critical infrastructure for modern economies, supporting services ranging from digital communications and online commerce to emergency response systems and financial transactions.

As AI expands, demand for cloud computing continues to accelerate, increasing the need for additional data centre capacity worldwide.

Concerns about environmental impact often focus on electricity and water use, yet recent data indicate that data centres are not primary drivers of higher power prices and consume far less water than many traditional industries.

Studies show that rising electricity costs are largely linked to grid upgrades, climate-related damage and fuel prices instead of large-scale computing facilities, while water use by data centres remains a small fraction of overall consumption.

Technological improvements have further reduced resource intensity. Operators have significantly improved water efficiency per unit of computing power, adopting closed-loop liquid cooling and advanced energy management systems.

In many regions, water is required only intermittently, with consumption levels lower than those in sectors such as clothing manufacturing, agriculture and automotive services.

Beyond digital services, data centres deliver tangible economic benefits to local communities. Large-scale investments generate construction activity, long-term technical employment and stable tax revenues, while infrastructure upgrades and skills programmes support regional development.

As cloud computing and AI continue to shape everyday life, data centres are increasingly positioned as both economic and technological anchors.

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EU moves to tax low-value e-commerce parcels

The European Commission welcomed the decision by EU Member States to introduce a €3 customs duty on low-value e-commerce parcels arriving from third countries.

A measure, which enters into force in July 2026, that applies to items valued below €150 and aims to restore fair competition instead of allowing online imports to benefit from longstanding exemptions.

The move responds to the rapid growth of cross-border e-commerce shipments and will operate as a temporary solution until the EU Customs Data Hub becomes fully operational in 2028.

Until then, the Council and the Commission will coordinate legal changes and IT systems to ensure smooth implementation and effective customs supervision across the Union.

Once the Customs Data Hub is in place, a permanent customs duty regime will replace the temporary measure, offering authorities a comprehensive view of goods entering and leaving the EU.

The €3 duty applies only to parcels sent directly to consumers and remains separate from ongoing negotiations on a handling fee intended to offset the rising operational costs faced by customs authorities.

The reform builds on earlier Commission proposals to remove duty exemptions for low-value parcels and forms part of the most extensive overhaul of EU customs rules in decades.

European institutions argue that modernised customs controls are essential instead of relying on outdated frameworks, particularly as global e-commerce volumes continue to expand.

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AI reshapes cybercrime investigations in India

Maharashtra police are expanding the use of an AI-powered investigation platform developed with Microsoft to tackle the rapid growth of cybercrime.

MahaCrimeOS AI, already in use across Nagpur district, will now be deployed to more than 1,100 police stations statewide, significantly accelerating case handling and investigation workflows.

The system acts as an investigation copilot, automating complaint intake, evidence extraction and legal documentation across multiple languages.

Officers can analyse transaction trails, request data from banks and telecom providers and follow standardised investigation pathways, instead of relying on slow manual processes.

Built using Microsoft Foundry and Azure OpenAI Service, MahaCrimeOS AI integrates policing protocols, criminal law references and open-source intelligence.

Investigators report major efficiency gains, handling several cases monthly where only one was previously possible, while maintaining procedural accuracy and accountability.

The initiative highlights how responsible AI deployment can strengthen public institutions.

By reducing administrative burden and improving investigative capacity, the platform allows officers to focus on victim support and crime resolution, marking a broader shift toward AI-assisted governance in India.

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New law requires AI disclosure in advertising in the US

A new law in New York, US, will require advertisers to disclose when AI-generated people appear in commercial content. Governor Kathy Hochul said the measure brings transparency and protects consumers as synthetic avatars become more widespread.

A second law now requires consent from heirs or executors when using a deceased person’s likeness for commercial purposes. The rule updates the state’s publicity rights, which previously lacked clarity in the context of the generative AI era.

Industry groups welcomed the move, saying it addresses the risks posed by unregulated AI usage, particularly for actors in the film and television industries. The disclosure must be conspicuous when an avatar does not correspond to a real human.

Specific expressive works such as films, games and shows are exempt when the avatar matches its use in the work. The laws arrive as national debate intensifies and President-elect Donald Trump signals potential attempts to limit state-level AI regulation.

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