An AI-generated print by artist Elias Marrow was secretly placed on a gallery wall at the National Museum Cardiff before staff were alerted, and it was removed. The work, titled Empty Plate, shows a young boy in a school uniform holding a plate and was reportedly seen by hundreds of visitors.
Marrow said the piece represents Wales in 2025 and examines how public institutions decide what is worth displaying. He defended the stunt as participatory rather than vandalism, emphasising that AI is a natural evolution of artistic tools.
Visitors photographed the artwork, and some initially thought it was performance art, while the museum confirmed it had no prior knowledge of the piece. Marrow has carried out similar unsanctioned displays at Bristol Museum and Tate Modern, highlighting his interest in challenging traditional curation.
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In a recent statement, the UN highlighted the growing field of neuro-technology, which encompasses devices and software that can measure, access, or manipulate the nervous system, as posing new risks to human rights.
The UN highlighted how such technologies could challenge fundamental concepts like ‘mental integrity’, autonomy and personal identity by enabling unprecedented access to brain data.
It warned that without robust regulation, the benefits of neuro-technology may come with costs such as privacy violations, unequal access and intrusive commercial uses.
The concerns align with broader debates about how advanced technologies, such as AI, are reshaping society, ethics, and international governance.
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Nvidia CEO Jensen Huang said China is ‘nanoseconds’ behind the US in AI and urged Washington to lead by accelerating innovation and courting developers globally. He argued that excluding China would weaken the reach of US technology and risk splintering the ecosystem into incompatible stacks.
Huang’s remarks came amid ongoing export controls that bar Nvidia’s most advanced processors from the Chinese market. He acknowledged national security concerns but cautioned that strict limits can slow the spread of American tools that underpin AI research, deployment, and scaling.
Hardware remains central, Huang said, citing advanced accelerators and data-centre capacity as the substrate for training frontier models. Yet diffusion matters: widespread adoption of US platforms by global developers amplifies influence, reduces fragmentation, and accelerates innovation.
With sales of top-end chips restricted, Huang warned that Chinese firms will continue to innovate on domestic alternatives, increasing the likelihood of parallel systems. He called for policies that enable US leadership while preserving channels to the developer community in China.
Huang framed the objective as keeping America ahead, maintaining the world’s reliance on an American tech stack, and avoiding strategies that would push away half the world’s AI talent.
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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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In a move that signals a significant shift in global AI strategy, companies such as OpenAI, Google and Perplexity AI are partnering with Indian telecoms and service providers to offer premium AI tools, for example, advanced chatbot access and large-model features, free for millions of users in India.
The offers are not merely promotional but part of a long-term play to dominate the AI ecosystem.
Market analysts quoted by the BBC note that the objective is to ‘get Indians hooked on to generative AI before asking them to pay for it’. The size of India’s digital ecosystem, with its young, mobile-first population and relatively less restrictive regulation, makes it a key battleground for AI firms aiming for global scale.
However, there are risks: free access may raise concerns around privacy and data protection, algorithmic control and whether users are fully informed about how their data is used and when free offers will convert into paid services.
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Salesforce has signed a definitive agreement to acquire Spindle AI, a company specialising in agentic analytics and machine learning. The deal aims to strengthen Salesforce’s Agentforce platform by integrating Spindle’s advanced data modelling and forecasting technologies.
Spindle AI has developed neuro-symbolic AI agents capable of autonomously generating and optimising scenario models. Its analytics tools enable businesses to simulate and assess complex decisions, from pricing strategies to go-to-market plans, using AI-driven insights.
Salesforce said the acquisition will enhance its focus on Agent Observability and Self-Improvement within Agentforce 360. Executives described Spindle AI’s expertise as critical to building more transparent and reliable agentic systems capable of explaining and refining their own reasoning.
The acquisition, subject to customary closing conditions, is expected to be completed in Salesforce’s fourth fiscal quarter of 2026. Once finalised, Spindle AI will join Agentforce to expand AI-powered analytics, continuous optimisation, and ROI forecasting for enterprise customers worldwide.
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Hackers are experimenting with malware that taps large language models to morph in real time, according to Google’s Threat Intelligence Group. An experimental family dubbed PROMPTFLUX can rewrite and obfuscate its own code as it executes, aiming to sidestep static, signature-based detection.
PROMPTFLUX interacts with Gemini’s API to request on-demand functions and ‘just-in-time’ evasion techniques, rather than hard-coding behaviours. GTIG describes the approach as a step toward more adaptive, partially autonomous malware that dynamically generates scripts and changes its footprint.
Investigators say the current samples appear to be in development or testing, with incomplete features and limited Gemini API access. Google says it has disabled associated assets and has not observed a successful compromise, yet warns that financially motivated actors are exploring such tooling.
Researchers point to a maturing underground market for illicit AI utilities that lowers barriers for less-skilled offenders. State-linked operators in North Korea, Iran, and China are reportedly experimenting with AI to enhance reconnaissance, influence, and intrusion workflows.
Defenders are turning to AI, using security frameworks and agents like ‘Big Sleep’ to find flaws. Teams should expect AI-assisted obfuscation, emphasise behaviour-based detection, watch model-API abuse, and lock down developer and automation credentials.
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A High Court judge warned that a solicitor who pushed an expert to accept an AI-generated draft breached their duty. Mr Justice Waksman called it a gross breach and cited a case from the latest survey. He noted 14% of experts would accept such terms, which is unacceptable.
Updated guidance clarifies what limited judicial AI use is permissible. Judges may use a private ChatGPT 365 for summaries with confidential prompts. There is no duty to disclose, but the judgment must be the judge’s own.
Waksman cautioned against legal research or analysis done by AI. Hallucinated authorities and fake citations have already appeared. Experts must not let AI answer the questions they are retained to decide.
Survey findings show wider use of AI for drafting and summaries. Waksman drew a bright line between back-office aids and core duties. Convenience cannot trump independence, accuracy and accountability.
For practitioners, two rules follow. Solicitors must not foist AI-drafted expert opinions, and experts should refuse. Within courts, limited, non-determinative AI may assist, but outcomes must be human.
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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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Oracle Health and Life Sciences has announced a strategic collaboration with the Cancer Center Informatics Society (Ci4CC) to accelerate AI innovation in oncology. The partnership unites Oracle’s healthcare technology with Ci4CC’s national network of cancer research institutions.
The two organisations plan to co-develop an electronic health record system tailored to oncology, integrating clinical and genomic data for more effective personalised medicine. They also aim to explore AI-driven drug development to enhance research and patient outcomes.
Oracle executives said the collaboration represents an opportunity to use advanced AI applications to transform cancer research. The Ci4CC President highlighted the importance of collective innovation, noting that progress in oncology relies on shared data and cross-institution collaboration.
The agreement, announced at Ci4CC’s annual symposium in Miami Beach US, remains non-binding but signals growing momentum in AI-driven precision medicine. Both organisations see the initiative as a step towards turning medical data into actionable insights that could redefine oncology care.
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