Digital cooperation

Hexagon unveils AEON humanoid robot powered by NVIDIA to build industrial digital twins

As industries struggle to fill 50 million job vacancies globally, Hexagon has unveiled AEON — a humanoid robot developed in collaboration with NVIDIA — to tackle labour shortages in manufacturing, logistics and beyond.

AEON can perform complex tasks like reality capture, asset inspection and machine operation, thanks to its integration with NVIDIA’s full-stack robotics platform.

By simulating skills using NVIDIA Isaac Sim and training in Isaac Lab, AEON drastically reduced its development time, mastering locomotion in weeks instead of months.

The robot is built using NVIDIA’s trio of AI systems, combining simulation with onboard intelligence powered by Jetson Orin and IGX Thor for real-time navigation and safe collaboration.

AEON will be deployed in factories and warehouses, scanning environments to build high-fidelity digital twins through Hexagon’s cloud-based Reality Cloud Studio and NVIDIA Omniverse.

Hexagon believes AEON can bring digital twins into mainstream use, streamlining industrial workflows through advanced sensor fusion and simulation-first AI. The company is also leveraging synthetic motion data to accelerate robot learning, pushing the boundaries of physical AI for real-world applications.

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ChatGPT now supports MCP for business data access, but safety risks remain

OpenAI has officially enabled support for Anthropic’s Model Context Protocol (MCP) in ChatGPT, allowing businesses to connect their internal tools directly to the chatbot through Deep Research.

The development enables employees to retrieve company data from previously siloed systems, offering real-time access to documents and search results via custom-built MCP servers.

Adopting MCP — an open industry protocol recently embraced by OpenAI, Google and Microsoft — opens new possibilities and presents security risks.

OpenAI advises users to avoid third-party MCP servers unless hosted by the official service provider, warning that unverified connections may carry prompt injections or hidden malicious directives. Users are urged to report suspicious activity and avoid exposing sensitive data during integration.

To connect tools, developers must set up an MCP server and create a tailored connector within ChatGPT, complete with detailed instructions. The feature is now live for ChatGPT Enterprise, Team and Edu users, who can share the connector across their workspace as a trusted data source.

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Deepfake technology fuels new harassment risks

A growing threat of AI-generated media is reshaping workplace harassment, with deepfakes used to impersonate colleagues and circulate fabricated explicit content in the US. Recent studies found that almost all deepfakes were sexually explicit by 2023, often targeting women.

Organisations risk liability under existing laws if deepfake incidents create hostile work environments. New legislation like the TAKE IT DOWN Act and Florida’s Brooke’s Law now mandates rapid removal of non-consensual intimate imagery.

Employers are also bracing for proposed rules requiring strict authentication of AI-generated evidence in legal proceedings. Industry experts advise an urgent review of harassment and acceptable use policies, clear incident response plans and targeted training for HR, legal and IT teams.

Protective measures include auditing insurance coverage for synthetic media claims and staying abreast of evolving state and federal regulations. Forward-looking employers already embed deepfake awareness into their harassment prevention and cybersecurity training to safeguard workplace dignity.

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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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