Digital standards

Multiply Labs targets automation in cell therapy manufacturing

Robotics firm Multiply Labs is introducing automation into cell therapy manufacturing to cut costs by more than 70% and increase output. The startup applies industrial robotics to clean-room environments, replacing slow and contamination-prone manual processes.

Founded in 2016, the San Francisco-based company collaborates with leading cell therapy developers, including Kyverna Therapeutics and Legend Biotech. Its robotic systems perform sterile, precision tasks involved in producing gene-modified cell therapies at scale.

Multiply Labs uses NVIDIA Omniverse to create digital twins of laboratory environments and Isaac Sim to train robots for specialised workflows. Humanoid robots built on NVIDIA’s Isaac GR00T model are also being developed to assist with material handling while maintaining hygiene standards.

Cell therapies involve modifying patient or donor cells to treat various conditions, including cancers, autoimmune diseases, and genetic disorders. The highly customised nature of these treatments makes production costly and sensitive to human error, increasing the risk of failed batches.

By automating thousands of delicate steps, robotics improves consistency, reduces contamination, and preserves expert knowledge. Multiply Labs states that automation could enable the mass production of life-saving therapies at a lower cost and greater availability.

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Australia raises concerns over AI misuse on X

The eSafety regulator in Australia has expressed concern over the misuse of the generative AI system Grok on social media platform X, following reports involving sexualised or exploitative content, particularly affecting children.

Although overall report numbers remain low, authorities in Australia have observed a recent increase over the past weeks.

The regulator confirmed that enforcement powers under the Online Safety Act remain available where content meets defined legal thresholds.

X and other services are subject to systemic obligations requiring the detection and removal of child sexual exploitation material, alongside broader industry codes and safety standards.

eSafety has formally requested further information from X regarding safeguards designed to prevent misuse of generative AI features and to ensure compliance with existing obligations.

Previous enforcement actions taken in 2025 against similar AI services resulted in their withdrawal from the Australian market.

Additional mandatory safety codes will take effect in March 2026, introducing new obligations for AI services to limit children’s exposure to sexually explicit, violent and self-harm-related material.

Authorities emphasised the importance of Safety by Design measures and continued international cooperation among online safety regulators.

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Claude expands into healthcare and life sciences

Healthcare and life sciences organisations face increasing administrative pressure, fragmented systems, and rapidly evolving research demands. At the same time, regulatory compliance, safety, and trust remain critical requirements across all clinical and scientific operations.

Anthropic has launched new tools and connectors for Claude in Microsoft Foundry to support enterprise-scale AI workflows. Built on Azure’s secure infrastructure, the platform promotes responsible integration across data, compliance, and workflow automation environments.

The new capabilities are designed specifically for healthcare and life sciences use cases, including prior authorisation review, claims appeals processing, care coordination, and patient triage.

In research and development, the tools support protocol drafting, regulatory submissions, bioinformatics analysis, and experimental design.

According to Anthropic, the updates build on significant improvements in Claude’s underlying models, delivering stronger performance in areas such as scientific interpretation, computational biology, and protein understanding.

The aim is to enable faster, more reliable decision-making across regulated, real-world workflows.

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Young people worry about jobs and inflation

Rising living costs and economic instability are the biggest worries for young people worldwide. A World Economic Forum survey shows inflation dominates personal and global concerns.

Many young people fear that AI-driven automation will shrink entry-level job opportunities. Two-thirds expect fewer early career roles despite growing engagement with AI tools.

Nearly 60 per cent already use AI to build skills and improve employability. Side hustles and freelance work are increasingly common responses to economic pressure.

Youth respondents call for quality jobs, better education access and affordable housing. Climate change also ranks among the most serious long-term global risks.

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China pushes frontier tech from research to real-world applications

Innovations across China are moving rapidly from laboratories into everyday use, spanning robotics, autonomous vehicles and quantum computing. Airports, hotels and city streets are increasingly becoming testing grounds for advanced technologies.

In Hefei, humanoid cleaning robots developed by local start-up Zerith are already operating in public venues across major cities. The company scaled from prototype to mass production within a year, securing significant commercial orders.

Beyond robotics, frontier research is finding industrial applications in energy, healthcare and manufacturing. Advances from fusion research and quantum mechanics are being adapted for cancer screening, battery safety and precision measurement.

Policy support and investment are accelerating this transition from research to market. National planning and local funding initiatives aim to turn scientific breakthroughs into scalable technologies with global reach.

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AI gap reflects China’s growing technological ambitions

China’s AI sector could narrow the technological AI gap with the United States through growing risk-taking and innovation, according to leading researchers. Despite export controls on advanced chipmaking tools, Chinese firms are accelerating development across multiple AI fields.

Yao Shunyu, a former senior researcher at ChatGPT maker OpenAI and now Tencent’s AI scientist, said a Chinese company could become the world’s leading AI firm within three to five years. He pointed to China’s strengths in electricity supply and infrastructure as key advantages.

Yao said the main bottlenecks remain production capacity, including access to advanced lithography machines and a mature software ecosystem. Such limits still restrict China’s ability to manufacture the most advanced semiconductors and narrow the AI gap with the US.

China has developed a working prototype of an extreme-ultraviolet lithography machine that could eventually rival Western technology. However, Reuters reported the system has not yet produced functioning chips.

Sources familiar with the project said commercial chip production using the machine may not begin until around 2030. Until then, Chinese AI ambitions are likely to remain constrained by hardware limitations.

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Concerns grow over planned EU-US biometrics deal

The EU has agreed to open talks with the US on sharing sensitive traveller data. The discussions aim to preserve visa-free travel for European citizens.

The proposal is called ‘Enhanced Border Security Partnership‘, and it could allow transfers of biometric data and other sensitive personal information. Legal experts warn that unclear limits may widen access beyond travellers alone.

EU governments have authorised the European Commission to negotiate a shared framework. Member states would later settle details through bilateral agreements with Washington.

Academics and privacy advocates are calling for stronger safeguards and transparency. EU officials insist data protection limits will form part of any final agreement.

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Teen victim turns deepfake experience into education

A US teenager targeted by explicit deepfake images has helped create a new training course. The programme aims to support students, parents and school staff facing online abuse.

The course explains how AI tools are used to create sexualised fake images. It also outlines legal rights, reporting steps and available victim support resources.

Research shows deepfake abuse is spreading among teenagers, despite stronger laws. One in eight US teens know someone targeted by non-consensual fake images.

Developers say education remains critical as AI tools become easier to access. Schools are encouraged to adopt training to protect students and prevent harm.

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Google expands AI shopping through Gemini

Google is expanding shopping features inside its Gemini chatbot through partnerships with Walmart and other retailers. Users will be able to browse and buy products without leaving the chat interface.

An instant checkout function allows purchases through linked accounts and selected payment providers. Walmart customers can receive personalised recommendations based on previous shopping activity.

The move was announced at the latest National Retail Federation convention in New York. Tech groups are racing to turn AI assistants into end-to-end retail tools.

Google said the service will launch first in the US before international expansion. Payments initially rely on Google-linked cards, with PayPal support planned.

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Digital twins gain momentum through AI

AI is accelerating the creation of digital twins by reducing the time and labour required to build complex models. Consulting firm McKinsey says specialised virtual replicas can take six months or more to develop, but generative AI tools can now automate much of the coding process.

McKinsey analysts say AI can structure inputs and synthesise outputs for these simulations, while the models provide safe testing environments for AI systems. Together, the technologies can reduce costs, shorten development cycles, and accelerate deployment.

Quantum Elements, a startup backed by QNDL Participations and the USC Viterbi School of Engineering, is applying this approach to quantum computing. Its Constellation platform combines AI agents, natural language tools, and simulation software.

The company says quantum systems are hard to model because qubits behave differently across hardware types such as superconducting circuits, trapped ions, and photonics. These variations affect stability, error rates, and performance.

By using digital twins, developers can test algorithms, simulate noise, and evaluate error correction without building physical hardware. Quantum Elements says this can cut testing time from months to minutes.

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