Digital cooperation

Dell expands AI innovation hub in Singapore to drive regional growth

Dell Technologies has launched a new Asia Pacific and Japan AI Innovation Hub in Singapore, strengthening its role in advancing AI across the region.

The hub extends the company’s Global Innovation Hub, which has already received more than US$50 million in investment since 2019. Its focus is on driving AI transformation, enablement and leadership, in line with Singapore’s National AI Strategy 2.0.

Instead of offering only infrastructure, the hub delivers end-to-end support, from strategy to deployment, helping enterprises bridge the gap between ambition and practical results. Research shows 62% of Singaporean businesses prefer such holistic partnerships.

Since 2024, the hub has developed about 50 AI prototypes and carried out more than 100 proof-of-concepts, workshops and demonstrations across areas such as generative and predictive AI.

The projects have already influenced multiple sectors. In energy, AI solutions are strengthening infrastructure resilience and enhancing customer engagement with digital humans and chatbots.

In telecommunications, AI is supporting agility and operational efficiency, while in education, cloud-based technologies are empowering research and innovation.

Dell’s AI Centre of Excellence Lab further supports these initiatives by testing solutions for AI PCs and edge computing in collaboration with academic and hardware partners.

A strong emphasis is also placed on skills development. By the end of 2025, the hub aims to train around 10,000 students and mid-career professionals in AI engineering, platform engineering and related fields.

Working with 10 local institutes, Dell is addressing the talent shortage reported by nearly half of Singaporean organisations. Events such as the Dell InnovateFest and the Dell Innovation Challenge provide platforms for students and partners to showcase ideas and create solutions for social good.

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Senior OpenAI executive Julia Villagra departs amid talent war

OpenAI’s chief people officer, Julia Villagra, has left the company, marking the latest leadership change at the AI pioneer. Villagra, who joined the San Francisco firm in early 2024 and was promoted in March, previously led its human resources operations.

Her responsibilities will temporarily be overseen by chief strategy officer Jason Kwon, while chief applications officer Fidji Simo will lead the search for her successor.

OpenAI said Villagra is stepping away to pursue her personal interest in art, music and storytelling as tools to help people understand the shift towards artificial general intelligence, a stage when machines surpass human performance in most forms of work.

The departure comes as OpenAI navigates a period of intense competition for AI expertise. Microsoft-backed OpenAI is valued at about $300 billion, with a potential share sale set to raise that figure to $500 billion.

The company faces growing rivalry from Meta, where Mark Zuckerberg has reportedly offered $100 million signing bonuses to attract OpenAI talent.

While OpenAI expands, public concerns over the impact of AI on employment continue. A Reuters/Ipsos poll found 71% of Americans fear AI could permanently displace too many workers, despite the unemployment rate standing at 4.2% in July.

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Google claims Gemini uses less water and energy per text prompt

Google has published new estimates on the environmental footprint of Gemini, claiming a single text prompt uses about five drops of water and 0.24 watt-hours of electricity. The company says this equates to 0.03 grams of carbon dioxide emissions.

According to Google, efficiencies have reduced Gemini’s energy consumption and carbon footprint per text prompt by factors of 33 and 44 over the past year. Chief technologist Ben Gomes said the model now delivers higher-quality responses with a significantly lower footprint.

The company argued that these figures are significantly lower than those suggested in earlier research. However, Shaolei Ren, the author of one of the cited papers, said Google’s comparisons were misleading and incomplete.

Ren noted that Google compared its latest onsite-only water figures against his study’s highest total figures, creating the impression that Gemini was far more efficient. He also said Google omitted indirect water use, such as electricity-related consumption, from its estimates.

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Contested quantum study updated but questions remain

A controversial study that once claimed evidence of elusive Majorana quasiparticles has received a 20-page correction in Science five years after its publication.

The paper, led by researchers in Copenhagen and affiliated with Microsoft, originally described signals from nanowires that were said to match those expected from Majoranas, exotic entities believed to be useful for quantum computing due to their resistance to noise.

Independent investigators concluded that, although the data selection was narrow, no misconduct occurred. The omitted data did not invalidate the main claims, but raised concerns about transparency and selection bias in reporting.

The authors argue the correction merely clarifies their methods. Yet the wider research community remains divided, and no group has successfully replicated the findings. Some experts now see the approach as too fragile for practical use in quantum computing.

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Google launches Gemini AI for government

Google has introduced a new version of its Gemini AI platform tailored specifically for US government use, called Gemini for Government. The platform combines features such as image generation, enterprise search, and AI agent development, with compliance to standards like Sec4 and FedRAMP.

Gemini includes pre-built AI agents for research and idea generation, while also offering tools to create custom agents. US government customers will pay $0.50 per year for basic access, undercutting rivals OpenAI and Anthropic, who each launched $1 government-focused AI packages earlier this year.

Google emphasised security, privacy, and automation in its pitch, positioning the product as an all-in-one solution for public sector institutions. The launch follows the Trump administration’s AI Action Plan, which seeks to promote AI growth.

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South Korea unveils five-year AI blueprint for ‘super-innovation economy’

South Korea’s new administration has unveiled a five-year economic plan to build what it calls a ‘super-innovation economy’ by integrating AI across all sectors of society.

The strategy, led by President Lee Jae-myung, commits 100 trillion won (approximately US$71.5 billion) to position the country among the world’s top three AI powerhouses. Private firms will drive development, with government support for nationwide adoption.

Plans include a sovereign Korean-language AI model, humanoid robots for logistics and industry, and commercialising autonomous vehicles by 2027. Unmanned ships are targeted for completion by 2030, alongside widespread use of drones in firefighting and aviation.

AI will also be introduced into drug approvals, smart factories, welfare services, and tax administration, with AI-based tax consultations expected by 2026. Education initiatives and a national AI training data cluster will nurture talent and accelerate innovation.

Five domestic firms, including Naver Cloud, SK Telecom, and LG AI Research, will receive state support to build homegrown AI foundation models. Industry reports currently rank South Korea between sixth and 10th in global AI competitiveness.

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Google enhances AI Mode with personalised dining suggestions

Google has expanded its AI Mode in Search to 180 additional countries and territories, introducing new agentic features to help users make restaurant reservations. The service remains limited to English and is not yet available in the European Union.

The update enables users to specify their dining preferences and constraints, allowing the system to scan multiple platforms and present real-time availability. Once a choice is made, users are directed to the restaurant’s booking page.

Partners supporting the service include OpenTable, Resy, SeatGeek, StubHub, Booksy, Tock, and Ticketmaster. The feature is part of Google’s Search Labs experiment, available to subscribers of Google AI Ultra in the United States.

AI Mode also tailors suggestions based on previous searches and introduces a Share function, letting users share restaurant options or planning results with others, with the option to delete links.

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EU speeds up digital euro plans after US stablecoin law

The European Union is accelerating work on a digital euro after the United States introduced new legislation to regulate the $288 billion stablecoin market. Brussels officials warn the euro may lose ground to dollar-backed tokens without swift action.

Sources told the Financial Times that regulators are revisiting issuing the digital euro on public blockchains such as Ethereum or Solana. Privacy concerns had blocked the option, but US developments have led Europe to reconsider.

The European Central Bank warned that reliance on foreign payment systems could weaken Europe’s financial sovereignty. A digital € would provide strategic autonomy, countering the risk of deposits flowing abroad and reinforcing the euro’s role in international settlements.

China has already rolled out its digital yuan, while the UK is evaluating a digital pound. The US market is dominated by companies such as Circle and Tether, with banks like Citi and JPMorgan preparing their own tokens.

Although smaller euro stablecoins exist, ECB officials say a digital € would cement Europe’s competitive position in the evolving global financial system.

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Court filing details Musk’s outreach to Zuckerberg over OpenAI bid

Elon Musk attempted to bring Meta chief executive Mark Zuckerberg into his consortium’s $97.4 billion bid for OpenAI earlier this year, the company disclosed in a court filing.

According to sworn interrogations, OpenAI said Musk had discussed possible financing arrangements with Zuckerberg as part of the bid. Musk’s AI startup xAI, a competitor to OpenAI, did not respond to requests for comment.

In the filing, OpenAI asked a federal judge to order Meta to provide documents related to any bid for OpenAI, including internal communications about restructuring or recapitalisation. The firm argued these records could clarify motivations behind the bid.

Meta countered that such documents were irrelevant and suggested OpenAI seek them directly from Musk or xAI. A US judge ruled that Musk must face OpenAI’s claims of attempting to harm the company through public remarks and what it described as a sham takeover attempt.

The legal dispute follows Musk’s lawsuit against OpenAI and Sam Altman over its for-profit transition, with OpenAI filing a countersuit in April. A jury trial is scheduled for spring 2026.

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Meta strikes $10 billion cloud deal with Google

Meta has signed a cloud computing deal with Google worth more than $10 billion, marking one of the most significant agreements in the industry.

The six-year partnership will see Meta use Google Cloud’s servers, storage, networking and other services to power its massive AI projects.

The deal comes as Meta accelerates its AI infrastructure spending, with CEO Mark Zuckerberg pledging hundreds of billions of dollars for new data centres.

Last month, Meta raised its capital expenditure forecast to $72 billion and disclosed plans to offload $2 billion in data centre assets to outside partners.

The partnership highlights a growing trend of rival technology giants collaborating on AI infrastructure. Just weeks earlier, OpenAI struck a similar deal to use Google Cloud services despite being a competitor in the AI field.

These agreements have boosted Google Cloud’s performance, which saw a 32% jump in second-quarter revenue in July, surpassing market expectations.

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