Three men have been charged with fraud in Singapore as part of an investigation that may be linked to the illegal transfer of advanced Nvidia chips to the Chinese AI company, DeepSeek. The United States is also probing whether DeepSeek used US-made chips, which are prohibited from being shipped to China. This case is part of a wider investigation into potential AI chip smuggling operations involving several individuals and companies across countries, including Singapore.
The charges focus on two Singaporeans, Aaron Woon Guo Jie and Alan Wei Zhaolun, who are accused of falsely claiming that Nvidia chips would not be transferred to unauthorised recipients. A third man, Chinese national Li Ming, is charged with committing similar fraud regarding the shipment of servers. These actions are believed to be connected to DeepSeek’s use of Nvidia chips, although the authorities have not confirmed the company’s involvement.
If convicted, the men could face up to 20 years in prison, a fine, or both. Singapore’s authorities have been actively investigating the smuggling network, with police recently arresting nine individuals in a raid across 22 locations, seizing records and electronic evidence.
Nvidia’s business in Singapore is substantial, making it the company’s second-largest market after the US. However, only a small percentage of its revenue comes from direct shipments to the country. Singapore’s government has emphasised its commitment to strict enforcement of export controls, underscoring that the nation will not tolerate any attempts to evade international regulations.
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Canada’s privacy commissioner has opened an investigation into X, the social media platform owned by Elon Musk, to examine whether the company’s use of personal data for training AI models complies with federal privacy laws. The investigation follows a complaint about the platform’s collection, use, and disclosure of Canadians’ data.
X has been under scrutiny since its rebranding from Twitter, with concerns mounting over the platform’s data practices, especially in relation to AI. Generative AI models, such as Grok, the chatbot developed by Musk’s AI firm xAI, require large volumes of data to function effectively. As part of its probe, the privacy office will look into how this data is being handled and whether it breaches Canadian privacy protections.
The investigation has drawn political attention, with opposition lawmaker Brian Masse urging the privacy commissioner to take action. Masse highlighted the need for transparency, particularly as AI algorithms could potentially be manipulated to spread misinformation. This inquiry comes at a time of heightened tension between Canada and the United States over various trade and digital issues.
X, which has not yet responded to requests for comment, faces growing pressure as regulators worldwide scrutinise tech giants’ data practices, especially in the rapidly evolving AI sector.
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Apple has rolled out a new feature called ‘age assurance’ to help protect children’s privacy while using apps. The technology allows parents to input their child’s age when setting up an account without disclosing sensitive information like birthdays or government IDs. Instead, parents can share a general ‘age range’ with app developers, putting them in control of what data is shared.
This move comes amid growing pressure from US lawmakers, including those in Utah and South Carolina, who are considering age-verification laws for social media apps. Apple has expressed concerns about collecting sensitive personal data for such verifications, arguing it would require users to hand over unnecessary details for apps that don’t require it.
The age assurance tool allows parents to maintain control over their children’s data while limiting what third parties can access. Meta, which has supported legislation for app stores to verify children’s ages, welcomed the new tech as a step in the right direction, though it raised concerns about its practical implementation.
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Europol announced on Friday that two dozen people have been arrested for their involvement in a criminal network distributing AI-generated images of child sexual abuse. This operation marks one of the first of its kind, highlighting concerns over the use of AI in creating illegal content. Europol noted that there is currently a lack of national legislation addressing AI-generated child abuse material.
The primary suspect, a Danish national, operated an online platform where he distributed the AI-generated content he created. Users from around the world paid a ‘symbolic online payment’ to access the material. The platform has raised significant concerns about the potential misuse of AI tools for such criminal purposes.
The ongoing operation, which involves authorities from 19 countries, resulted in 25 arrests, with most occurring simultaneously on Wednesday under the leadership of Danish authorities. Europol indicated that more arrests are expected in the coming weeks as the investigation continues.
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At a conference in Hyderabad this week, pharmaceutical companies highlighted the growing role of artificial intelligence in evolving the drug development process. Companies like Amgen and Parexel showcased how AI can reduce trial times, with Parexel demonstrating a model that speeds up drug safety reports by 30-45 minutes. Industry experts believe that AI can potentially halve the costs and time needed to develop drugs, cutting down the process from over a decade to just a few years.
Beyond speeding up trials, AI is also aiding in drug discovery and medical diagnostics. For instance, AI is being used to repurpose existing drugs for new uses and to analyse medical images, potentially identifying conditions such as cancer that might be missed by human doctors. Medtronic’s CTO stressed that integrating AI across the industry is essential to its future success.
Despite these technological strides, the conference was overshadowed by ongoing uncertainty regarding US President Trump’s proposed tariffs on pharmaceutical imports. Companies, particularly those based in India, expressed concern over the potential impact of these tariffs, with some, like Dr Reddy’s, opting to take a ‘wait and watch’ approach until further clarity emerges. This tariff uncertainty remains a pressing issue for India’s pharmaceutical industry, which is a major exporter of affordable drugs to the US.
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Inception, a Palo Alto-based startup founded by Stanford professor Stefano Ermon, has unveiled an innovative AI model based on diffusion technology. Unlike traditional large language models that generate text sequentially, Inception’s diffusion-based model can produce large blocks of text in parallel, making it up to 10 times faster and more cost-efficient. The company claims its model offers similar capabilities to existing LLMs but with significantly improved performance.
The diffusion model operates differently from the typical approach of LLMs, which generate text word by word. Instead, it starts with a rough estimate and refines the output all at once, allowing for faster processing. Ermon, who has been researching this technology for years at Stanford, believes it will revolutionise AI by enabling more efficient use of computational resources, particularly GPUs. Inception already boasts several Fortune 100 companies as clients, attracted by its promise to reduce AI latency and costs.
Inception’s model can handle various tasks, including code generation and question answering, and is designed for flexible deployment options such as API, on-premises, and edge devices. This breakthrough technology is expected to lead to more accessible and scalable AI solutions, positioning Inception at the forefront of AI development.
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ElevenLabs, a Palo Alto-based AI startup valued at $3.3 billion, has introduced its first stand-alone speech-to-text model, Scribe. The company, which is better known for its audio-generation capabilities, now aims to disrupt the speech detection market by providing a faster and more accurate alternative to existing models like Whisper and Deepgram. Scribe supports over 99 languages, with top accuracy in more than 25, including English, French, and Spanish.
The new AI model has already outperformed competitors like Google’s Gemini 2.0 Flash and OpenAI’s Whisper Large V3 in benchmark tests. It also includes features like speaker diarisation, accurate subtitles, and sound event tagging, which could appeal to customers in media and content creation. While Scribe currently only works with pre-recorded audio, ElevenLabs plans to release a real-time version soon.
Priced at $0.40 per hour of transcribed audio, Scribe offers a competitive rate, though some rivals currently offer lower prices. With this move into speech-to-text, ElevenLabs is positioning itself to expand its AI offerings and challenge established players in the field.
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British universities have been urged to reassess their assessment methods after new research revealed a significant rise in students using genAI for their projects. A survey of 1,000 undergraduates found that 88% of students used AI tools like ChatGPT for assessments in 2025, up from 53% last year. Overall, 92% of students now use some form of AI, marking a substantial shift in academic behaviours in just a year.
The report, by the Higher Education Policy Institute and Kortext, highlights how AI is being used for tasks such as summarising articles, explaining concepts, and suggesting research ideas. While AI can enhance the quality of work and save time, some students admitted to directly including AI-generated content in their assignments, raising concerns about academic misconduct.
The research also found that concerns over AI’s potential impact on academic integrity vary across demographics. Women, wealthier students, and those studying STEM subjects were more likely to embrace AI, while others expressed fears about getting caught or receiving biased results. Despite these concerns, students generally feel that universities are addressing the issue of academic integrity, with many believing their institutions have clear policies on AI use.
Experts argue that universities need to adapt quickly to the changing landscape, with some suggesting that AI should be integrated into teaching rather than being seen solely as a threat to academic integrity. As AI tools become an essential part of education, institutions must find a balance between leveraging the technology and maintaining academic standards.
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Canada’s telecommunications regulator, the CRTC, announced on Wednesday that it will impose a fee on Google to cover the costs of enforcing the Online News Act, which requires large tech platforms to pay for news content shared on their sites. The levy, which will be implemented from April 1, will vary each year and has no upper limit. This move comes amid rising tensions between Canada and the US over issues like trade and a digital services tax on American tech firms.
The CRTC stated that most of its operations are funded by fees from the companies it regulates, and the new charge aims to recover costs related to the law. Google, which had previously raised concerns about the fairness of such a rule, had argued that it was unreasonable to impose 100% of the costs on one company. Despite this, Google has agreed to pay C$100 million annually to Canadian publishers in a deal that ensures its search results continue to feature news content.
The law, which is part of a global trend to make internet giants pay for news, was introduced last year in response to concerns that tech firms were crowding out news businesses in the online advertising market. While both Google and Meta were identified as major platforms required to make payments, Meta chose to block news from its platforms in Canada instead. Google, however, has continued to negotiate with the Canadian government, although it has yet to comment further on the CRTC’s decision.
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Quantum Machines (QM), a leader in quantum computing technology, has raised $170 million in a mid-stage funding round, bringing its total funding to $280 million. The investment is seen as a significant step in accelerating QM’s role in the rapidly evolving quantum computing industry. With quantum technology on the verge of becoming a major disruptive force, this funding will help QM expand its hardware and software offerings to meet the demands of quantum system developers globally.
Quantum computing holds enormous promise for breakthroughs in fields such as medicine and chemistry, offering the ability to solve problems far beyond the capabilities of classical computers. While the technology is still developing, key milestones are being reached, including IBM and Google’s advancements in achieving over 1,000 qubits. These developments signal that practical quantum computers could soon become a reality.
QM’s growth is supported by strong backing from major investors, including PSG Equity and Intel Capital, reflecting the increasing confidence in the potential of quantum computing. As the technology matures, companies like Microsoft and Nvidia are also contributing to the ecosystem, highlighting that the quantum race is heating up. Despite regional challenges, Israeli tech startups, including QM, are continuing to attract investment, contributing to the country’s growing tech sector.
With this new funding, QM is well-positioned to drive forward its mission to innovate and lead in the quantum computing space, which many consider one of the most important technological developments of the current generation.
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