Critical infrastructure Archives | Page 6 of 148

Rising DRAM prices push memory to the centre of AI strategy

The cost of running AI systems is shifting towards memory rather than compute, as the price of DRAM has risen sharply over the past year. Efficient memory orchestration is now becoming a critical factor in keeping inference costs under control, particularly for large-scale deployments.

Analysts such as Doug O’Laughlin and Val Bercovici of Weka note that prompt caching is turning into a complex field.

Anthropic has expanded its caching guidance for Claude, with detailed tiers that determine how long data remains hot and how much can be saved through careful planning. The structure enables significant efficiency gains, though each additional token can displace previously cached content.

The growing complexity reflects a broader shift in AI architecture. Memory is being treated as a valuable and scarce resource, with optimisation required at multiple layers of the stack.

Startups such as Tensormesh are already working on cache optimisation tools, while hyperscalers are examining how best to balance DRAM and high-bandwidth memory across their data centres.

Better orchestration should reduce the number of tokens required for queries, and models are becoming more efficient at processing those tokens. As costs fall, applications that are currently uneconomical may become commercially viable.

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China boosts AI leadership with major model launches ahead of Lunar New Year

Leading Chinese AI developers have unveiled a series of advanced models ahead of the Lunar New Year, strengthening the country’s position in the global AI sector.

Major firms such as Alibaba, ByteDance, and Zhipu AI introduced new systems designed to support more sophisticated agents, faster workflows and broader multimedia understanding.

Industry observers also expect an imminent release from DeepSeek, whose previous model disrupted global markets last year.

Alibaba’s Qwen 3.5 model provides improved multilingual support across text, images and video while enabling rapid AI agent deployment instead of slower generation pipelines.

ByteDance followed up with updates to its Doubao chatbot and the second version of its image-to-video tool, SeeDance, which has drawn copyright concerns from the Motion Picture Association due to the ease with which users can recreate protected material.

Zhipu AI expanded the landscape further with GLM-5, an open-source model built for long-context reasoning, coding tasks, and multi-step planning. The company highlighted the model’s reliance on Huawei hardware as part of China’s efforts to strengthen domestic semiconductor resilience.

Meanwhile, excitement continues to build for DeepSeek’s fourth-generation system, expected to follow the widespread adoption and market turbulence associated with its V3 model.

Authorities across parts of Europe have restricted the use of DeepSeek models in public institutions because of data security and cybersecurity concerns.

Even so, the rapid pace of development in China suggests intensifying competition in the design of agent-focused systems capable of managing complex digital tasks without constant human oversight.

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Ethical governance at centre of Africa AI talks

Ghana is set to host the Pan African AI and Innovation Summit 2026 in Accra, reinforcing its ambition to shape Africa’s digital future. The gathering will centre on ethical artificial intelligence, youth empowerment and cross-sector partnerships.

Advocates argue that AI systems must be built on local data to reflect African realities. Many global models rely on datasets developed outside the continent, limiting contextual relevance. Prioritising indigenous data, they say, will improve outcomes across agriculture, healthcare, education and finance.

National institutions are central to that effort. The National Information Technology Agency and the Data Protection Commission have strengthened digital infrastructure and privacy oversight.

Leaders now call for a shift from foundational regulation to active enablement. Expanded cloud capacity, high-performance computing and clearer ethical AI guidelines are seen as critical next steps.

Supporters believe coordinated governance and infrastructure investment can generate skilled jobs and position Ghana as a continental hub for responsible AI innovation.

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Tokyo semiconductor profits surge amid AI boom

Major semiconductor companies in Tokyo have reported strong profit growth for the April to December period, buoyed by rising demand for AI related chips. Several firms also raised their full year forecasts as investment in AI infrastructure accelerates.

Kioxia expects net profit to climb sharply for the year ending in March, citing demand from data centres in Tokyo and devices equipped with on device AI. Advantest and Tokyo Electron also upgraded their outlooks, pointing to sustained orders linked to AI applications.

Industry data suggest the global chip market will continue expanding, with World Semiconductor Trade Statistics projecting record revenues in 2026. Growth is being driven largely by spending on AI servers and advanced semiconductor manufacturing.

In Tokyo, Rapidus has reportedly secured significant private investment as it prepares to develop next generation chips. However, not all companies in Japan share the optimism, with Screen Holdings forecasting lower profits due to upfront capacity investments.

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Germany drafts reforms expanding offensive cyber powers

Politico reports that Germany is preparing legislative reforms that would expand the legal framework for conducting offensive cyber operations abroad and strengthen authorities to counter hybrid threats.

According to the Interior Ministry, two draft laws are under preparation:

One would revise the mandate of Germany’s foreign intelligence service to allow cyber operations outside national territory.
A second would grant security services expanded powers to fight back against hybrid threats and what the government describes as active cyber defense.

The discussion in Germany coincides with broader European debates on offensive cyber capabilities. In particular, the Netherlands have incorporated offensive cyber elements into national strategies.

The reforms in Germany remain in draft form and may face procedural and constitutional scrutiny. Adjustments to intelligence mandates could require amendments supported by a two-thirds majority in both the Bundestag and Bundesrat.

The proposed framework for ‘active cyber defense’ would focus on preventing or mitigating serious threats. Reporting by Tagesschau ndicates that draft provisions may allow operational follow-up measures in ‘special national situations,’ particularly where timely police or military assistance is not feasible.

Opposition lawmakers have raised questions regarding legal clarity, implementation mechanisms, and safeguards. Expanding offensive cyber authorities raises longstanding policy questions, including challenges of attribution to identify responsible actors; risks of escalation or diplomatic repercussions; oversight and accountability mechanisms; and compatibility with international law and norms of responsible state behaviour.

The legislative process is expected to continue through the year, with further debate anticipated in parliament.

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Government AI investment grows while public trust falters

Rising investment in AI is reshaping public services worldwide, yet citizen satisfaction remains uneven. Research across 14 countries shows that nearly 45% of residents believe digital government services still require improvement.

Employee confidence is also weakening, with empowerment falling from 87% three years ago to 73% today. Only 35% of public bodies provide structured upskilling for AI-enabled roles, limiting workforce readiness.

Trust remains a growing concern for public authorities adopting AI. Only 47% of residents say they believe their government will use AI responsibly, exposing a persistent credibility gap.

The study highlights an ‘experience paradox’, in which the automation of legacy systems outpaces meaningful service redesign. Leading nations such as the UAE, Saudi Arabia and Singapore rank highly for proactive AI strategies, but researchers argue that leadership vision and structural reform, not funding alone, determine long-term credibility.

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British Transport Police trial live facial recognition at London Bridge station

On 11 February 2026, the British Transport Police (BTP) deployed Live Facial Recognition cameras at London Bridge railway station as the first phase of a six-month trial intended to assess how the technology performs in a busy railway environment.

The pilot, planned with Network Rail, the Department for Transport and the Rail Delivery Group, will scan faces passing through designated areas and compare them to a watchlist of individuals wanted for serious offences, generating alerts for officers to review.

BTP says the trial is part of efforts to make the railways safer by quickly identifying high-risk offenders, with future LFR deployments to be announced in advance online.

Operational procedures include deleting images of people not on the authorised database and providing alternative routes for passengers who prefer not to enter recognition zones, with public feedback encouraged via QR codes on signage.

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Russia signals no immediate Google ban as Android dependence remains critical

Officials in Russia have confirmed that no plans are underway to restrict access to Google, despite recent public debate about the possibility of a technical block. Anton Gorelkin, a senior lawmaker, said regulators clarified that such a step is not being considered.

Concerns centre on the impact a ban would have on devices running Android, which are used by a significant share of smartphone owners in the country.

A block on Google would disrupt essential digital services instead of encouraging the company to resolve ongoing legal disputes involving unpaid fines.

Gorelkin noted that court proceedings abroad are still in progress, meaning enforcement options remain open. He added that any future move to reduce reliance on Google services should follow a gradual pathway supported by domestic technological development rather than abrupt restrictions.

The comments follow earlier statements from another lawmaker, Andrey Svintsov, who acknowledged that blocking Google in Russia is technically feasible but unnecessary.

Officials now appear focused on creating conditions that would allow local digital platforms to grow without destabilising existing infrastructure.

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Latam-GPT signals new AI ambition in Latin America

Chile has introduced Latam-GPT to strengthen Latin America’s presence in global AI.

The project, developed by the National Centre for Artificial Intelligence with support across South America, aims to correct long-standing biases by training systems on the region’s own data instead of material drawn mainly from the US or Europe.

President Gabriel Boric said the model will help maintain cultural identity and allow the region to take a more active role in technological development.

Latam-GPT is not designed as a conversational tool but rather as a vast dataset that serves as the foundation for future applications. More than eight terabytes of information have been collected, mainly in Spanish and Portuguese, with plans to add indigenous languages as the project expands.

The first version has been trained on Amazon Web Services. At the same time, future work will run on a new supercomputer at the University of Tarapacá, supported by millions of dollars in regional funding.

The model reflects growing interest among countries outside the major AI hubs of the US, China and Europe in developing their own technology instead of relying on foreign systems.

Researchers in Chile argue that global models often include Latin American data in tiny proportions, which can limit accurate representation. Despite questions about resources and scale, supporters believe Latam-GPT can deliver practical benefits tailored to local needs.

Early adoption is already underway, with the Chilean firm Digevo preparing customer service tools based on the model.

These systems will operate in regional languages and recognise local expressions, offering a more natural experience than products trained on data from other parts of the world.

Developers say the approach could reduce bias and promote more inclusive AI across the continent.

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Illicit trafficking payments rise across blockchain channels

Cryptocurrency flows linked to suspected human trafficking services surged sharply in 2025, with transaction volumes rising 85% year-on-year, according to new blockchain analysis.

Investigators say the financial activity reflects the rapid expansion of digitally enabled exploitation networks operating across borders.

Growth is linked to Southeast Asia-based illicit networks, including scam compounds, gambling platforms, and laundering groups operating via encrypted messaging channels.

Analysts identified multiple trafficking service categories, each with distinct transaction structures and payment preferences.

Stablecoins became the dominant payment method, especially for escort networks, thanks to their price stability and ease of conversion. Larger transfers and structured pricing models indicate increasingly professionalised operations supported by organised financial infrastructure.

Despite the scale of the activity, blockchain transparency continues to provide enforcement advantages. Transaction tracing has aided investigations, shutdowns, and arrests, strengthening digital forensics in combating trafficking-linked financial crime.

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