Chinese researchers have reported a significant advance in quantum computing using a superconducting system. The Zuchongzhi 3.2 computer reached the fault-tolerant threshold, at which point error correction improves stability.
Pan Jianwei led the research and marks only the second time globally that this threshold has been achieved, following earlier work by Google. The result positions China as the first country outside the United States to demonstrate fault tolerance in a superconducting quantum system.
Unlike Google’s approach, which relies on extensive hardware redundancy, the Chinese team used microwave-based control to suppress errors. Researchers say this method may offer a more efficient path towards scalable quantum computing by reducing system complexity.
The breakthrough addresses a central challenge in quantum computing: qubit instability and the accumulation of undetected errors. Effective error management is crucial for developing larger systems that can maintain reliable quantum states over time.
While practical applications remain distant, researchers describe the experiment as a significant step in solving a foundational problem in quantum system design. The results highlight the growing international competition in the quest for scalable, fault-tolerant quantum computers.
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China’s Tsinghua University has emerged as a central hub in the country’s push to become a global leader in AI. The campus hosts a high level of research activity, with students and faculty working across disciplines related to AI development.
Momentum has been boosted by the success of DeepSeek, an AI startup founded by alums of Tsinghua University. The company reinforced confidence that Chinese teams can compete with leading international laboratories.
The university’s rise is closely aligned with Beijing’s national technology strategy. Government backing has included subsidies, tax incentives, and policy support, as well as public endorsements of AI entrepreneurs affiliated with Tsinghua.
Patent and publication data highlight the scale of output. Tsinghua has filed thousands of AI-related patents and ranks among the world’s most cited institutions in AI research, reflecting China’s rapidly expanding share of global AI innovation.
Despite this growth, the United States continues to lead in influential patents and top-performing models. Analysts note, however, that a narrowing gap is expected, as China produces a growing share of elite AI researchers and expands AI education from schools to advanced research.
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Türkiye has announced new measures to expand its AI ecosystem and strengthen public-sector adoption of the technology. The changes were published in the Official Gazette, according to Industry and Technology Minister Mehmet Fatih Kacir.
The Ministry’s Directorate General of National Technology has been renamed the Directorate General of National Technology and AI. The unit will oversee policies on data centres, cloud infrastructure, certification standards, and regulatory processes.
The directorate will also coordinate national AI governance, support startups and research, and promote the ethical and reliable use of AI. Its remit includes expanding data capacity, infrastructure, workforce development, and international cooperation.
Separately, a Public AI Directorate General has been established under the Presidency’s Cybersecurity Directorate. The new body will guide the use of AI across government institutions and lead regulatory work on public-sector AI applications.
Officials say the unit will align national legislation with international frameworks and set standards for data governance and shared data infrastructure. The government aims to position Türkiye as a leading country in the development of AI.
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Cybercriminals are exploiting trust in India’s traffic enforcement systems by using fake e-Challan portals to steal financial data from vehicle owners. The campaign relies on phishing websites that closely mimic official government platforms.
Researchers at Cyble Research and Intelligence Labs say the operation marks a shift away from malware towards phishing-based deception delivered through web browsers. More than 36 fraudulent websites have been linked to the campaign, which targets users across India through SMS messages.
Victims receive alerts claiming unpaid traffic fines, often accompanied by warnings of licence suspension or legal action. The messages include links directing users to fake portals displaying fabricated violations and small penalty amounts, with no connection to government databases.
The sites restrict payments to credit and debit cards, prompting users to enter full card details. Investigators found that repeated payment attempts allow attackers to collect multiple sets of sensitive information from a single victim.
Researchers say the infrastructure is shared with broader phishing schemes that impersonate courier services, banks, and transportation platforms. Security experts advise users to verify fines only through official websites and to avoid clicking on links in unsolicited messages.
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Spending on chips and AI is expected to nearly quadruple to ¥1.23 trillion ($7.9 billion), accounting for the majority of the ministry’s ¥3.07 trillion budget, a 50% increase from last year. The budget, approved by Prime Minister Sanae Takaichi’s Cabinet, will be debated in parliament early next year.
The funding boost reflects Japan’s push to strengthen its position in frontier technologies amid global competition with the US and China. The government will fund most of the additional support through regular budgets, ensuring more stable backing for semiconductor and AI development.
Key initiatives include ¥150 billion for chip venture Rapidus and ¥387.3 billion for domestic foundation AI models, data infrastructure, and ‘physical AI’ for robotics and machinery control.
The budget also allocates ¥5 billion for critical minerals and ¥122 billion for decarbonisation, including next-generation nuclear power. Special bonds worth ¥1.78 trillion will also support Japanese investment in the US, reinforcing the trade agreement between the two countries.
The increase in funding demonstrates Japan’s strategic focus on achieving technological self-sufficiency and enhancing global competitiveness in emerging industries, thereby ensuring long-term support for innovation and critical infrastructure.
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Researchers at MIT and the MIT-IBM Watson AI Lab have introduced a new attention mechanism designed to enhance the capabilities of large language models (LLMs) in tracking state and reasoning across long texts.
Unlike traditional positional encoding methods, the PaTH Attention system adapts to the content of words, enabling models to follow complex sequences more effectively.
PaTH Attention models sequences through data-dependent transformations, allowing LLMs to track how meaning changes between words instead of relying solely on relative distance.
The approach improves performance on long-context reasoning, multi-step recall, and language modelling benchmarks, all while remaining computationally efficient and compatible with GPUs.
Tests demonstrated consistent gains in perplexity and content-awareness compared with conventional methods. The team combined PaTH Attention with FoX to down-weight less relevant information, improving reasoning and long-sequence understanding.
According to senior author Yoon Kim, these advances represent the next step in developing general-purpose building blocks for AI, combining expressivity, scalability, and efficiency for broader applications in structured domains such as biology.
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The US administration is criticising foreign digital regulations affecting major online platforms while avoiding trade measures that could disrupt the US economy. Officials say the rules disproportionately impact American technology companies.
US officials have paused or cancelled trade discussions with the UK, the EU, and South Korea. Current negotiations are focused on rolling back digital taxes, privacy rules, and platform regulations that Washington views as unfair barriers to US firms.
US administration officials describe the moves as a negotiating tactic rather than an escalation toward tariffs. While trade investigations into digital practices have been raised as a possibility, officials have stressed that the goal remains a negotiated outcome rather than a renewed trade conflict.
Technology companies have pressed for firmer action, though some industry figures warn that aggressive retaliation could trigger a wider digital trade war. Officials acknowledge that prolonged disputes with major partners could ultimately harm both US firms and global markets.
Despite rhetorical escalation and targeted threats against European companies, the US administration has so far avoided dismantling existing trade agreements. Analysts say mounting pressure may soon force Washington to choose between compromise and more concrete enforcement measures.
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Users of popular AI chatbots are generating bikini deepfakes by manipulating photos of fully clothed women, often without consent. Online discussions show how generative AI tools can be misused to create sexually suggestive deepfakes from ordinary images, raising concerns about image-based abuse.
A now-deleted Reddit thread shared prompts for using Google’s Gemini to alter clothing in photographs. One post asked for a woman’s traditional dress to be changed to a bikini. Reddit removed the content and later banned the subreddit over deepfake-related harassment.
Researchers and digital rights advocates warn that nonconsensual deepfakes remain a persistent form of online harassment. Millions of users have visited AI-powered websites designed to undress people in photos. The trend reflects growing harm enabled by increasingly realistic image generation tools.
Most mainstream AI chatbots prohibit the creation of explicit images and apply safeguards to prevent abuse. However, recent advances in image-editing models have made it easier for users to bypass guardrails using simple prompts, according to limited testing and expert assessments.
Technology companies say their policies ban altering a person’s likeness without consent, with penalties including account suspensions. Legal experts argue that deepfakes involving sexualised imagery represent a core risk of generative AI and that accountability must extend to both users and platforms.
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India’s technology ministry plans to showcase more than 100 homegrown applications at an upcoming AI Impact Summit. The event aims to highlight locally developed tools across public services and industry.
Officials say the initiative supports domestic innovation while reducing reliance on foreign technology platforms. Priority areas include governance, healthcare, education and small business productivity.
The ministry intends to promote practical AI adoption rather than experimental research. Developers will demonstrate solutions already deployed or nearing commercial readiness.
The showcase reflects India’s broader strategy to position local firms within global AI supply chains. Indian policymakers view applied AI as central to economic growth.
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AI-powered tools are adding new features to long-running Santa Tracker services used by families on Christmas Eve. Platforms run by NORAD and Google allow users to follow Father Christmas’s journey through their Santa Tracker tools, which also introduce interactive and personalised digital experiences.
NORAD’s Santa Tracker, first launched in 1955, now features games, videos, music, and stories in addition to its live tracking map. This year, the service introduced AI-powered features that generate elf-style avatars, create toy ideas, and produce personalised holiday stories for families.
The Santa Tracker presents Santa’s journey on a 3D globe built using open-source mapping technology and satellite imagery. Users can also watch short videos on Santa Cam, featuring Santa travelling to destinations around the world.
Google’s rendition offers similar features, including a live map, estimated arrival times, and interactive activities available throughout December. Santa’s Village includes games, animations, and beginner-friendly coding activities designed for children.
Google Assistant introduces a voice-based experience to its service, enabling users to ask about Santa’s location or receive updates from the North Pole. Both platforms aim to blend tradition with digital tools to create a seamless and engaging holiday experience.
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