Digital cooperation Archives | Page 39 of 210

Eli Lilly and NVIDIA invest in AI-driven pharmaceutical innovation

NVIDIA and Eli Lilly have announced a joint AI co-innovation lab aimed at advancing drug discovery by combining AI with pharmaceutical research.

The partnership combines Lilly’s experience in medical development with NVIDIA’s expertise in accelerated computing and AI infrastructure.

The two companies plan to invest up to $1 billion over five years in research capacity, computing resources and specialist talent.

Based in the San Francisco Bay Area, the lab will support large-scale data generation and model development using NVIDIA platforms, instead of relying solely on traditional laboratory workflows.

Beyond early research, the collaboration is expected to explore applications of AI across manufacturing, clinical development and supply chain operations.

Both NVIDIA and Eli Lilly claim the initiative is designed to enhance efficiency and scalability in medical production while fostering long-term innovation in the life sciences sector.

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Morocco outlines national AI roadmap to 2030

Morocco is preparing to unveil ‘Maroc IA 2030’, a national AI roadmap designed to structure the country’s AI ecosystem and strengthen digital transformation.

The strategy seeks to modernise public services, improve interoperability across digital systems and enhance economic competitiveness, according to officials ahead of the ‘AI Made in Morocco’ event in Rabat.

A central element of the plan involves the creation of Al Jazari Institutes, a national network of AI centres of excellence connecting academic research with innovation and regional economic needs.

A roadmap that prioritises technological autonomy, trusted AI use, skills development, support for local innovation and balanced territorial coverage instead of fragmented deployment.

The initiative builds on the Digital Morocco 2030 strategy launched in 2024, which places AI at the core of national digital policy.

Authorities expect the combined efforts to generate around 240,000 digital jobs and contribute approximately $10 billion to gross domestic product by 2030, while improving the international AI readiness ranking of Morocco.

Additional measures include the establishment of a General Directorate for AI and Emerging Technologies to oversee public policy and the development of an Arab African regional digital hub in partnership with the United Nations Development Programme.

Their main goal is to support sustainable and responsible digital innovation.

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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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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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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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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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Cyber Fortress strengthens European cyber resilience

Luxembourg has hosted its largest national cyber defence exercise, Cyber Fortress, bringing together military and civilian specialists to practise responding to real-time cyberattacks on digital systems.

Since its launch in 2021, Cyber Fortress has evolved beyond a purely technical drill. The exercise now includes a realistic fictional scenario supported by media injections, creating a more immersive and practical training environment for participants.

This year’s edition expanded its international reach, with teams joining from Belgium, Latvia, Malta and the EU Cyber Rapid Response Teams. Around 100 participants also took part from a parallel site in Latvia, working alongside Luxembourg-based teams.

The exercise focuses on interoperability during cyber crises. Participants respond to multiple simulated attacks while protecting critical services, including systems linked to drone operations and other sensitive infrastructure.

Cyber Fortress now covers technical, procedural and management aspects of cyber defence. A new emphasis on disinformation, deepfakes and fake news reflects the growing importance of information warfare.

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Google brings AI to personalised shopping

Google is working with major retailers to use AI in guiding customers from product discovery to checkout. The company has launched the Universal Commerce Protocol, an open standard for seamless agentic commerce that keeps retailers in control of customer relationships.

The Universal Commerce Protocol works with existing systems and partners, including Shopify, Etsy, Wayfair, Target, and Walmart.

Customers can receive personalised offers, loyalty rewards, and recommendations in Google Search or Gemini, completing purchases via Google Pay without leaving the platform.

To support retailers, Google has launched Gemini Enterprise for Customer Experience, which unifies search, commerce, and service touchpoints across all channels.

Early partners, such as The Home Depot and McDonald’s, are already utilising AI-powered agents to enhance service, provide proactive recommendations, and improve customer engagement.

Logistics also feature prominently, with Wing expanding delivery capabilities alongside Walmart, doubling operations in existing markets, and rolling out to Houston, Orlando, Tampa, Charlotte, and other cities.

Google aims to create an end-to-end shopping ecosystem where AI, agentic protocols, and seamless delivery elevate both customer and retailer experiences.

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AI race shows diverging paths for China and the US

The US administration’s new AI action plan frames global development as an AI race with a single winner. Officials argue AI dominance brings economic, military, and geopolitical advantages. Experts say competition is unfolding across multiple domains.

The United States continues to lead in the development of advanced large language and multimodal models by firms such as OpenAI, Google, and Anthropic. American companies also dominate global computing infrastructure. Control over high-end AI chips and data-centre capacity remains concentrated in US firms.

Chinese companies are narrowing the gap in the practical applications of AI. Models from Alibaba, DeepSeek, and Moonshot AI perform well in tasks such as translation, coding, and customer service. Performance at the cutting edge still lags behind US systems.

Washington’s decision to allow limited exports of Nvidia’s H200 AI chips to China reflects a belief that controlled sales can preserve US leadership. Critics argue the move risks weakening America’s computing advantage. Concerns persist over long-term strategic consequences.

Rather than a decisive victory for either side in the AI race, analysts foresee an era of asymmetric competition in AI. The United States may dominate advanced AI services, but China is expected to lead in large-scale industrial deployment within the evolving AI race.

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