Google has released Gemma 3 270M, an open-source AI model with 270 million parameters designed to run efficiently on smartphones and Internet of Things devices.
Drawing on technology from the larger Gemini family, it focuses on portability, low energy use and quick fine-tuning, enabling developers to create AI tools that work on everyday hardware instead of relying on high-end servers.
The model supports instruction-following and text structuring with a 256,000-token vocabulary, offering scope for natural language processing and on-device personalisation.
Its design includes quantisation-aware training to work in low-precision formats such as INT4, reducing memory use and improving speed on mobile processors instead of requiring extensive computational power.
Industry commentators note that the model could help meet demand for efficient AI in edge computing, with applications in healthcare wearables and autonomous IoT systems. Keeping processing on-device also supports privacy and reduces dependence on cloud infrastructure.
Google highlights the environmental benefits of the model, pointing to reduced carbon impact and greater accessibility for smaller firms and independent developers. While safeguards like ShieldGemma aim to limit risks, experts say careful use will still be needed to avoid misuse.
Future developments may bring new features, including multimodal capabilities, as part of Google’s strategy to blend open and proprietary AI within hybrid systems.
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Chinese physicist Pan Jianwei’s team created the world’s largest atom array, arranging over 2,000 rubidium atoms for quantum computing. The breakthrough at the University of Science and Technology of China could enable atom-based quantum computers to scale to tens of thousands of qubits.
Researchers used AI and optical tweezers to position all atoms simultaneously, completing the array in 60 milliseconds. The system achieved 99.97 percent accuracy for single-qubit operations and 99.5 percent for two-qubit operations, with 99.92 percent accuracy in qubit state detection.
Atom-based quantum computing is more promising for its stability and control than superconducting circuits or trapped ions. Until now, arrays were limited to a few hundred atoms, as moving each into position individually was slow and challenging.
Future work aims to expand array sizes further using stronger lasers and faster light modulators. Researchers hope that perfectly arranging tens of thousands of atoms leads to fully reliable and scalable quantum computers.
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Chinese AI company DeepSeek has postponed the launch of its R2 model after repeated technical problems using Huawei’s Ascend processors for training. The delay highlights Beijing’s ongoing struggle to replace US-made chips with domestic alternatives.
Authorities had encouraged DeepSeek to shift from Nvidia hardware to Huawei’s chips after the release of its R1 model in January. However, training failures, slower inter-chip connections, stability issues, and weaker software performance led the start-up to revert to Nvidia chips for training, while continuing to explore Ascend for inference tasks.
Despite Huawei deploying engineers to assist on-site, DeepSeek was unable to complete a successful training run using Ascend processors. The company is also contending with extended data-labelling timelines for its updated model, adding to the delays.
The situation underscores how far Chinese chip technology lags behind Nvidia for advanced AI development, even as Beijing pressures domestic firms to use local products. Industry observers say Huawei is facing “growing pains” but could close the gap over time. Meanwhile, competitors like Alibaba’s Qwen3 have integrated elements of DeepSeek’s design more efficiently, intensifying market pressure.
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A new study has revealed that managers who use AI to write emails are often viewed as less sincere by their staff. Acceptance improved for emails focused on factual information, where employees were more forgiving of AI involvement.
Researchers found employees were more critical of AI use by their supervisors than when using it themselves, even if the level of assistance was the same.
Only 40 percent of respondents rated managers as sincere when their emails involved high AI input, compared to 83 percent for lighter use.
Professionals did consider AI-assisted emails efficient and polished, but trust declined when messages were relationship-driven or motivational.
Researchers highlighted that managers’ heavier reliance on AI may undermine trust, care, and authenticity perceptions.
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India’s central bank has proposed a national framework to guide the ethical and responsible use of AI in the financial sector.
The committee, set up by the Reserve Bank of India in December 2024, has made 26 recommendations across six focus areas, including infrastructure, governance, and assurance.
It advised establishing a digital backbone to support homegrown AI models and forming a multi-stakeholder body to evaluate risks.
A dedicated fund to boost domestic AI development tailored for finance was also proposed, alongside audit guidelines and policy frameworks.
The committee recommended integrating AI into platforms such as UPI while preserving public trust and ensuring security.
Led by IIT Bombay’s Pushpak Bhattacharyya, the panel noted the need to balance innovation with risk mitigation in regulatory design.
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Google has announced a $9 billion investment in Oklahoma over the next two years to expand cloud and AI infrastructure.
The funds will support a new data centre campus in Stillwater and an expansion of the existing facility in Pryor, forming part of a broader $1 billion commitment to American education and competitiveness.
The announcement was made alongside Governor Kevin Stitt, Alphabet and Google executives, and community leaders.
Alongside the infrastructure projects, Google funds education and workforce initiatives with the University of Oklahoma and Oklahoma State University through the Google AI for Education Accelerator.
Students will gain no-cost access to Career Certificates and AI training courses, helping them acquire critical AI and job-ready skills instead of relying on standard curricula.
Additional funding will support ALLIANCE’s electrical training to expand Oklahoma’s electrical workforce by 135%, creating the talent needed to power AI-driven energy infrastructure.
Google described the investment as part of an ‘extraordinary time for American innovation’ and a step towards maintaining US leadership in AI.
The move also addresses national security concerns, ensuring the country has the infrastructure and expertise to compete with domestic rivals like OpenAI and Anthropic, as well as international competitors such as China’s DeepSeek.
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President Lee Jae-myung has announced a sweeping national megagrowth plan that positions South Korea at the forefront of AI and energy transformation.
The initiative includes the creation of an ‘AI expressway’, starting with the Ulsan AI data centre, underpinned by bold tax incentives and regulatory reforms to attract private sector investment. Complementing this is a proposed investment of 100 trillion won to accelerate AI innovation, next-generation semiconductors, and the development of AI infrastructure and innovation zones.
On the energy front, the government has launched a dedicated task force to develop an AI-powered next-generation power grid. This ‘electric highway’ aims to integrate AI technology into renewable energy distribution and grid modernisation without needing vast new infrastructure.
Complementing the power grid overhaul, Korea Electric Power Corp. (KEPCO) plans to invest around 73 trillion won by 2038 to expand transmission lines and upgrade the power infrastructure serving major semiconductor complexes.
Together, these measures form a robust blueprint that aligns digital transformation with energy security, aimed at keeping South Korea globally competitive while responding to rising electricity demands from AI and other tech industries.
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At the Emkay Confluence in Mumbai, Chief Economic Adviser V. Anantha Nageswaran emphasised that while trade-related concerns remain significant, they must not obscure the urgent need for India to boost its AI and semiconductor sectors.
He pointed to AI’s transformative economic potential and strategic importance, warning that India must act decisively to remain competitive as the United States and China advance aggressively in these domains.
By focusing on energy transition, energy security, and enhanced collaboration across sectors, Nageswaran argued that India can strengthen its innovation capacity and technological self-reliance.
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Prime Minister Olzhas Bektenov established a digital transformation group, or digital headquarters, to advance AI integration across Kazakhstan, following President Tokayev’s directives on 11 August 2025.
The group includes senior officials, such as the deputy prime minister, the head of strategic planning, the minister of digital development, innovation, and aerospace industry, and the presidential digitalisation advisor. The group is tasked with implementing nine priority areas outlined by the president.
These span AI deployment in the economy, public administration, and healthcare; digital strategy development; IT architecture modernisation; cybersecurity; support for IT startups; the national QazTech platform; and innovative city initiatives.
A significant plan component involves crafting a roadmap with the Samruk Kazyna Sovereign Wealth Fund to embed AI in production and boost labour productivity. AI solutions are expected to improve diagnostics, personalise treatment, enable continuous patient monitoring, and streamline workflows in healthcare. Startups will gain access to the Ministry of Health infrastructure and integration into a unified medical database.
Consolidating government communication via the Aitu national messenger, IT modernisation, and strengthened cybersecurity aims to create a seamless, safe digital environment for citizens. The emphasis is swift collaboration to address AI integration challenges across all sectors.
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A recent survey by the Association of Accounting Technicians (AAT) finds that two in five people would consider a career in accountancy if AI could handle routine tasks. The research suggests automation may improve the profession’s appeal by shifting the focus from admin to strategic support.
Among current accountants, four in five agree that AI tools have made their roles easier by lightening administrative burdens, while 80% say it enables more problem-solving and advisory work. AI will enhance efficiency and accuracy, and allow finance professionals to concentrate on impactful tasks.
The survey reveals 42% of those who have worked in accounting say AI tools have been genuinely valuable; this rises to 55% for 25- to 34-year-olds. Most also support upskilling, with nearly 80% interested in developing AI and machine learning skills as part of workplace training.
Claire Bennison of AAT stresses that AI is not here to replace accountants but to empower them. She argues that building an AI-savvy workforce is essential in meeting skills shortages and modernising the finance profession.
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