Digital cooperation

T-Mobile launches priority network for emergency services

T-Mobile is expanding its support for emergency response teams by combining 5G, AI and drone technologies to boost disaster recovery operations. Its T-Priority service, launched last year, offers dedicated network slices to ensure fast, low-latency data access during crises.

US first responders in disaster-hit regions like Southern California and North Carolina have already used the system to operate body cams, traffic monitoring tools and mapping systems. T-Mobile deployed hundreds of 5G routers and hotspot devices to aid efforts during the Palisades wildfire and Hurricanes.

AI and drone technologies are key in reconnaissance, damage assessment and real-time communication. T-Mobile’s self-organising network adapts to changing conditions using live data, ensuring stable connectivity throughout emergency operations.

Public-private collaboration is central to the initiative, with T-Mobile working alongside FEMA, the Department of Defense and local emergency centres. The company has also signed a major deal to provide New York City with a dedicated public safety network.

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Trump unveils gold smartphone and new 5G wireless service

US President Donald Trump and his sons have launched a mobile phone service called Trump Mobile 5G, alongside plans to release a gold-coloured smartphone branded with the Trump name.

The service is being offered through partnerships with all three major US mobile networks, though they are not named directly.

The monthly plan, known as the ’47 Plan’, costs $47.45- referencing Trump’s position as the 45th and 47th president. Customers can join their current Android or iPhone devices, either with a physical SIM or an eSIM.

A new Trump-branded Android device, the T1, will launch in September. Priced at $499, it comes with Android 15, a 6.8-inch screen and biometric features like fingerprint scanning and AI facial recognition.

At a press event in New York, Donald Trump Jr. and Eric Trump introduced the initiative, saying it would combine high-quality service with an ‘America First’ approach.

They emphasised that the company is US-based, including its round-the-clock customer service, which promises real human support instead of automated systems.

While some critics may see the move as political branding, the Trump Organisation framed it as a business venture.

The company has already earned hundreds of millions from Trump-branded consumer goods. As with other mobile providers, the new service will fall under the regulatory oversight of the Federal Communications Commission, led by a Trump-appointed chair.

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Scientists convert brain signals into words using AI

Australian scientists have developed an AI model that converts brainwaves into spoken words and sentences using a wearable EEG cap.

The system, created at the University of Technology Sydney, marks a significant step in communication technology and cognitive care.

The deep learning model, designed by Daniel Leong, Charles Zhou, and Chin-Teng Lin, currently works with a limited vocabulary but has achieved around 75% accuracy. Researchers aim to improve this to 90% by expanding training data and refining brainwave analysis.

Bioelectronics expert Mohit Shivdasani noted that AI now detects neural patterns previously hidden from human interpretation. Future uses include real-time thought-to-text interfaces or direct communication between people via brain signals.

However, breakthrough opens new possibilities for patients with speech or movement impairments, pointing to future human-machine interaction that bypasses traditional input methods.

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Oxford physicists set new qubit accuracy record

Physicists at the University of Oxford have achieved a ground‑breaking error rate in quantum logic operations, reducing it to just 0.000015 percent, one mistake in 6.7 million operations. The result marks nearly a ten‑fold improvement over their previous record set in 2014.

The team used a trapped calcium ion qubit controlled by microwave signals instead of lasers to achieve high stability at room temperature and eliminate the need for magnetic shielding. However, this method offers cheaper, more robust control that fits with ion‑trap chip technology.

Reducing the error rate helps shrink the infrastructure needed for error correction, meaning future quantum computers could be smaller, faster and more efficient. They still lag, with around one in 2,000 error rates, highlighting further challenges for full‑scale quantum systems.

The findings, published in Physical Review Letters, bring practical quantum computing a significant step closer. The Oxford researchers involved include Professor David Lucas, Molly Smith, Aaron Leu and Dr Mario Gely.

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Nvidia’s sovereign AI vision gains EU support

Nvidia CEO Jensen Huang’s call for ‘sovereign AI’ is gaining traction among European leaders who want more control over their data and digital future. He argues that nations must develop AI rooted in their own language, culture and infrastructure.

During a recent European tour, Huang unveiled major partnerships and investments European cities, citing the region’s over-reliance on US tech firms. European officials echoed his concerns, with French President Emmanuel Macron and German Chancellor Friedrich Merz supporting national AI initiatives.

The EU plans to build four AI gigafactories, aiming to reduce dependence on US cloud giants and strengthen regional innovation. Nvidia has committed to providing chips for these projects, while startups like Mistral are working to become local leaders in AI development.

Despite enthusiasm, high energy costs and limited resources may hinder Europe’s progress. Industry voices warn that without sustained investment, the region could struggle to match the spending power of US hyperscalers.

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Amazon launches AU$ 20 bn investment in Australian solar-powered data centres

Amazon will invest AU$ 20 billion to expand its data centre infrastructure in Australia, using solar and wind power instead of traditional energy sources.

The plan includes power purchase agreements with three utility-scale solar plants developed by European Energy, one of which—Mokoan Solar Park in Victoria—is already operational. The other two projects, Winton North and Bullyard Solar Parks, are expected to lift total solar capacity to 333MW.

The investment supports Australia’s aim to enhance its cloud and AI capabilities. Amazon’s commitment includes purchasing over 170MW of power from these projects, contributing to both data centre growth and the country’s renewable energy transition.

According to the International Energy Agency, electricity demand from data centres is expected to more than double by 2030, driven by AI.

Amazon Web Services CEO Matt Garman said the move positions Australia to benefit from AI’s economic potential. The company, already active in solar projects across New South Wales, Queensland and Victoria, continues to prioritise renewables to decarbonise operations and meet surging energy needs.

Instead of pursuing growth through conventional means, Amazon’s focus on clean energy could set a precedent for other tech giants expanding in the region.

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OpenAI turns to Google Cloud in shift from solo AI race

OpenAI has entered into an unexpected partnership with Google, using Google Cloud to support its growing AI infrastructure needs.

Despite being fierce competitors in AI, the two tech giants recognise that long-term success may require collaboration instead of isolation.

As the demand for high-performance hardware soars, traditional rivals join forces to keep pace. OpenAI, previously backed heavily by Microsoft, now draws from Google’s vast cloud resources, hinting at a changing attitude in the AI race.

Rather than going it alone, firms may benefit more by leveraging each other’s strengths to accelerate development.

Google CEO Sundar Pichai, speaking on a podcast, suggested there is room for multiple winners in the AI sector. He even noted that a major competitor had ‘invited me to a dance’, underscoring a new phase of pragmatic cooperation.

While Google still faces threats to its search dominance from tools like ChatGPT, business incentives may override rivalry.

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Santa Clara offers AI training with Silicon Valley focus

Santa Clara University has launched a new master’s programme in AI designed to equip students with technical expertise and ethical insight.

The interdisciplinary degree, offered through the School of Engineering, blends software and hardware tracks to address the growing need for professionals who can manage AI systems responsibly.

The course offers two concentrations: one focusing on algorithms and computation for computer science students and another tailored to engineering students interested in robotics, devices, and AI chip design. Students will also engage in real-world practicums with Silicon Valley companies.

Faculty say the programme integrates ethical training into its core, aiming to produce graduates who can develop intelligent technologies with social awareness. As AI tools increasingly shape society and education, the university hopes to prepare students for both innovation and accountability.

Professor Yi Fang, director of the Responsible AI initiative, said students will leave with a deeper understanding of AI’s societal impact. The initiative reflects a broader trend in higher education, where demand for AI-related skills continues to rise.

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Meta’s V-JEPA 2 teaches AI to think, plan, and act in 3D space

Meta has released V-JEPA 2, an open-source AI model designed to understand and predict real-world environments in 3D. Described as a ‘world model’, it enables machines to simulate physical spaces—offering a breakthrough for robotics, self-driving cars, and intelligent assistants.

Unlike traditional AI that relies on labelled data, V-JEPA 2 learns from unlabelled video clips, building an internal simulation of how the world works. However, now, AI can reason, plan, and act more like humans.

Based on Meta’s JEPA architecture and containing 1.2 billion parameters, the model improves significantly on action prediction and environmental modelling compared to its predecessor.

Meta says this approach mirrors how humans intuitively understand cause and effect—like predicting a ball’s motion or avoiding people in a crowd. V-JEPA 2 helps AI agents develop this same intuition, making them more adaptive in dynamic, unfamiliar situations.

Meta’s Chief AI Scientist Yann LeCun describes world models as ‘abstract digital twins of reality’—vital for machines to understand and predict what comes next. This effort aligns with Meta’s broader push into AI, including a planned $14 billion investment in Scale AI for data labelling.

V-JEPA 2 joins a growing wave of interest in world models. Google DeepMind is building its own called Genie, while AI researcher Fei-Fei Li recently raised $230 million for her startup World Labs, focused on similar goals.

Meta believes V-JEPA 2 brings us closer to machines that can learn, adapt, and operate in the physical world with far greater autonomy and intelligence.

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Coreweave expands AI infrastructure with Google tie‑up

CoreWeave has secured a pivotal role in Google Cloud’s new infrastructure partnership with OpenAI. The specialist GPU cloud provider will supply Nvidia‑based compute resources to Google, which will allocate them to OpenAI to support the rising demand for services like ChatGPT.

Already under a $11.9 billion, five‑year contract with OpenAI and backed by a $350 million equity investment, CoreWeave recently expanded the deal by another. 

Adding Google Cloud as a customer helps the company diversify beyond Microsoft, its top client in 2024.

The arrangement positions Google as a neutral provider of AI computing power amid fierce competition with Amazon and Microsoft.

CoreWeave’s stock has surged over 270 percent since its March IPO, illustrating investor confidence in its expanding role in the AI infrastructure boom.

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