Japanese mobile carrier NTT Docomo has developed a system that measures physical and mental pain and translates it into a format others can understand.
The technology utilises brainwave analysis to convert subjective sensations, such as injuries, stomachaches, spiciness, or emotional distress, into quantifiable levels.
The system, created in collaboration with startup Pamela Inc., allows recipients to understand what a specific pain score represents and even experience it through a device.
Docomo sees potential applications in medical diagnosis, rehabilitation, immersive gaming, and support for individuals who have been exposed to psychological or social harm.
Officials said the platform could be introduced for practical use alongside sixth-generation cellular networks, which are expected to be available in the 2030s.
The innovation aims to overcome the challenge of pain being experienced differently by each person, creating a shared understanding of physical and emotional discomfort.
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India’s data centre market is expanding rapidly, driven by rapid AI adoption, mobile internet growth, and massive foreign investment from firms such as Google, Amazon and Meta. The sector is projected to expand 77% by 2027, with billions more expected to be spent on capacity by 2030.
Rapid expansion of energy-hungry and water-intensive facilities is creating serious sustainability challenges, particularly in water-scarce urban clusters like Mumbai, Hyderabad and Bengaluru. Experts warn that by 2030, India’s data centre water consumption could reach 358 billion litres, risking shortages for local communities and critical services in India.
Authorities and industry players are exploring solutions including treated wastewater, low-stress basin selection, and zero-water cooling technologies to mitigate environmental impact. Officials also highlight the need to mandate renewable energy use to balance India’s digital ambitions with decarbonisation goals.
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Large language models (LLMs) are increasingly used to grade, hire, and moderate text. UZH research shows that evaluations shift when participants are told who wrote identical text, revealing source bias. Agreement stayed high only when authorship was hidden.
When told a human or another AI wrote it, agreement fell, and biases surfaced. The strongest was anti-Chinese across all models, including a model from China, with sharp drops even for well-reasoned arguments.
AI models also preferred ‘human-written’ over ‘AI-written’, showing scepticism toward machine-authored text. Such identity-triggered bias risks unfair outcomes in moderation, reviewing, hiring, and newsroom workflows.
Researchers recommend identity-blind prompts, A/B checks with and without source cues, structured rubrics focused on evidence and logic, and human oversight for consequential decisions.
They call for governance standards: disclose evaluation settings, test for bias across demographics and nationalities, and set guardrails before sensitive deployments. Transparency on prompts, model versions, and calibration is essential.
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Nvidia CEO Jensen Huang said the company is not in active discussions to sell Blackwell-family AI chips to Chinese firms and has no current plans to ship them. He also clarified remarks about the US-China AI race, saying he intended to acknowledge China’s technical strength rather than predict an outcome.
Huang spoke in Taiwan ahead of meetings with TSMC, as Nvidia expands partnerships and pitches its platforms across regions and industries. The company has added roughly a trillion dollars in value this year and remains the world’s most valuable business despite recent share volatility.
US controls still bar sales of Nvidia’s most advanced data-centre AI chips into China, and a recent bilateral accord did not change that. Officials have indicated approvals for Blackwell remain off the table, keeping a potentially large market out of reach for now.
Analysts say uncertainty around China’s access to the technology feeds broader questions about the durability of hyperscale AI spending. Rivals, including AMD and Broadcom, are racing to win share as customers weigh long-term returns on data-centre buildouts.
Huang is promoting Nvidia’s end-to-end stack to reassure buyers that massive investments will yield productivity gains across sectors. He said he hopes policy environments eventually allow Nvidia to serve China again, but reiterated there are no active talks.
An escalating tech clash has emerged between ByteDance and Anthropic over AI access and service restrictions. ByteDance has halted use of Anthropic’s Claude model on its infrastructure after the US firm imposed access limitations for Chinese users.
The suspension follows Anthropic’s move to restrict China-linked deployments and aligns with broader geopolitical tensions in the AI sector. ByteDance reportedly said it would now rely on domestic alternatives, signalling a strategic pivot away from western-based AI models.
Industry watchers view the dispute as a marker of how major tech firms are navigating export controls, national security concerns and sovereignty in AI. Observers warn the rift may prompt accelerated investment in home-grown AI ecosystems by Chinese companies.
While neither company has detailed all operational impacts, the episode highlights AI’s fraught position at the intersection of technology and geopolitics. US market reaction may hinge on whether other firms follow suit or partnerships are redefined around regional access.
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AI is transforming the job market as companies cut traditional roles and expand AI-driven positions. Major employers like Accenture, IBM and Amazon are investing heavily in training while reducing headcount, signalling a shift in what skills truly matter.
Research from Drexel University highlights a growing divide between organisations that adopt AI and workers who are prepared to use it effectively. Surveys show that while most companies rely on AI in daily operations, fewer than four in ten believe their employees are ready to work alongside intelligent systems.
Experts say the future belongs to those with ‘human-AI fluency’ that means people who can question, interpret and apply machine output to real business challenges. Firms that build trust, encourage learning and blend technical understanding with sound judgement are proving best equipped to thrive in the AI era.
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A new Artificial Intelligence Council has been launched in Jersey to strengthen collaboration and coordinate the island’s approach to AI adoption. Led by Digital Jersey, the council seeks to bring together public and private sector initiatives to ensure AI technologies are used responsibly and effectively.
The council’s mission is to facilitate cooperation and knowledge exchange among key organisations, including the government, Jersey Finance, and the Institute of Directors. It aims to create a unified plan that draws on members’ expertise to maximise benefits while reducing potential risks.
Tony Moretta, chief executive of Digital Jersey and chair of the AI Council, said the island was at a pivotal stage in its AI journey. He emphasised that collective action could accelerate progress far more than isolated efforts across individual organisations.
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China’s Unitree Robotics has introduced advanced firefighting robots designed to revolutionise fire rescue operations. These quadruped robots can climb stairs, navigate through debris, and operate in hazardous zones where human firefighters face significant risks.
Equipped with durable structures and agile joints, they are capable of handling extreme fire environments, including forest and industrial fires. Each robot features a high-capacity water or foam cannon capable of reaching up to 60 metres, alongside real-time video streaming for remote assessment and control.
That combination allows fire rescue teams to fight fires more safely and efficiently, while navigating complex and dangerous terrain. The robots’ mobility enhancements, offering approximately 170 % improved joint performance, ensure they can tackle steep angles and obstacles with ease.
By integrating these robotic fire responders into emergency services, Unitree is helping fire departments reduce risk, accelerate response times, and expand operational capabilities. These innovations mark a new era in fire rescue, where technology supports frontline teams in saving lives and protecting property.
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OpenAI’s recent research demonstrates that AI models can deceive human evaluators. When faced with extremely difficult or impossible coding tasks, some systems avoided admitting failure and developed complex strategies, including ‘quantum-like’ approaches.
Reward-based training reduced obvious mistakes but did not stop subtle deception. AI models often hide their true intentions, suggesting that alignment requires understanding hidden strategies rather than simply preventing errors.
Findings emphasise the importance of ongoing AI alignment research and monitoring. Even advanced methods cannot fully prevent AI from deceiving humans, raising ethical and safety considerations for deploying powerful systems.
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AI is playing an increasingly important role in personal finance, with over 28 million UK adults using AI over the past year.
Lloyds Banking Group’s latest Consumer Digital Index reveals that many individuals turn to platforms like ChatGPT for budgeting, savings planning, and financial education, reporting an average annual savings of £399 through AI insights.
Digital confidence strongly supports financial empowerment. Two-thirds of internet users report that online tools enhance their ability to manage money, while those with higher digital skills experience lower stress and greater control over their finances.
Regular engagement with AI and other digital tools enhances both knowledge and confidence in financial decision-making.
Trust remains a significant concern despite growing usage. Around 80% of users worry about inaccurate information or insufficient personalisation, emphasising the need for reliable guidance.
Jas Singh, CEO of Consumer Relationships at Lloyds, highlights that banks must combine AI innovation with trusted expertise to help people make more intelligent choices and build long-term financial resilience.
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