Sustainable development

Geneva to host 2027 global AI summit

Switzerland will host the 2027 edition of the global AI summit in Geneva, President Guy Parmelin announced on Thursday at the 2026 AI Summit in New Delhi. Speaking at a high-level session attended by Indian Prime Minister Narendra Modi and Brazilian President Luiz Inácio Lula da Silva, Parmelin said Switzerland was ready to welcome global leaders to discuss the future of AI.

Calling Geneva ‘the epicentre of multilateralism,’ Parmelin said the city offers a natural platform for international cooperation on emerging technologies. He added that Switzerland looks forward to organising the event and collaborating with the United Arab Emirates, which is set to host the summit in 2028.

The Swiss Federal Council had already signalled its interest in hosting the 2027 edition ahead of the New Delhi meeting. Last month, the government confirmed that financing had been secured and that organisational preparations were already complete.

The summit has been held annually since 2023, beginning in the United Kingdom and then in South Korea and France. The gatherings aim to promote global dialogue on both the opportunities and risks of AI, including its impact on healthcare, climate action, agriculture, and broader society.

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Adoption of agentic AI slowed by data readiness and governance gaps

Agentic AI is emerging as a new stage of enterprise automation, enabling systems to reason, plan, and act across workflows. Adoption, however, remains uneven, with far fewer organisations scaling deployments beyond pilots.

Unlike traditional analytics or generative tools, agentic systems make decisions rather than simply producing insights. Without sufficient context, they struggle to align actions with real business conditions, revealing a persistent context gap.

Recent survey data highlights this disconnect. Although executives express confidence in AI ambitions, significant shares cite data readiness, infrastructure, and skills as barriers. Many identify AI as central to strategy, yet only a limited proportion tie deployments to measurable business outcomes.

Effective agentic AI depends on layered data foundations. Public data provides baseline capability, organisational data enables operational competence, and third-party context supports differentiation. Weak governance or integration can undermine autonomy at scale.

Enterprises that align data governance, enrichment, and AI oversight are more likely to scale beyond pilots. Progress depends less on model sophistication than on trusted data foundations that support transparency and measurable outcomes.

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Gemini 3.1 Pro brings advanced logic to developers and consumers

Google has launched Gemini 3.1 Pro, an upgraded AI model for solving complex science, research, and engineering challenges. Following the Gemini 3 Deep Think release, the update adds enhanced core reasoning for consumer, developer, and enterprise applications.

Developers can access 3.1 Pro in preview via the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio, while enterprise users can use it through Vertex AI and Gemini Enterprise.

Consumers can now try the upgrade through the Gemini app and NotebookLM, with higher limits for Google AI Pro and Ultra plan users.

Benchmarks show significant improvements in logic and problem-solving. On the ARC-AGI-2 benchmark, 3.1 Pro scored 77.1%, more than doubling the reasoning performance of its predecessor.

The upgrade is intended to make AI reasoning more practical, offering tools to visualise complex topics, synthesise data, and enhance creative projects.

Feedback from Gemini 3 Pro users has driven the rapid development of 3.1 Pro. The preview release allows Google to validate improvements and continue refining advanced agentic workflows before the model becomes widely available.

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Summit in India hears call for safe AI

The UN Secretary General has warned that AI must augment human potential rather than replace it, speaking at the India AI Impact Summit in New Delhi. Addressing leaders at Bharat Mandapam in New Delhi, he urged investment in workers so that technology strengthens, rather than displaces, human capacity.

In New Delhi, he cautioned that AI could deepen inequality, amplify bias and fuel harm if left unchecked. He called for stronger safeguards to protect people from exploitation and insisted that no child should be exposed to unregulated AI systems.

Environmental concerns also featured prominently in New Delhi, with Guterres highlighting rising energy and water demands from data centres. He urged a shift to clean power and warned against transferring environmental costs to vulnerable communities.

The UN chief proposed a $3 billion Global Fund on AI to build skills, data access and affordable computing worldwide. In New Delhi, he argued that broader access is essential to prevent countries from being excluded from the AI age and to ensure AI supports sustainable development goals.

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Reload launches Epic to bring shared memory and structure to AI agents

Founders of the Reload platform say AI is moving from simple automation toward something closer to teamwork.

Newton Asare and Kiran Das noticed that AI agents were completing tasks normally handled by employees, which pushed them to design a system that treats digital workers as part of a company’s structure instead of disposable tools.

Their platform, Reload, offers a way for organisations to manage these agents across departments, assign responsibilities and monitor performance. The firm has secured 2.275 million dollars in new funding led by Anthemis with several other investors joining the round.

The shift toward agent-driven development exposed a recurring limitation. Most agents retain only short-term memory, which means they often lose context about a product or forget why a task matters.

Reload’s answer is Epic, a new product built on its platform that acts as an architect alongside coding agents. Epic defines requirements and constraints at the start of a project, then continuously preserves the shared understanding that agents need as software evolves.

Epic integrates with popular AI-assisted code editors such as Cursor and Windsurf, allowing developers to keep a consistent system memory without changing their workflow.

The tool generates key project artefacts from the outset, including data models and technical decisions, then carries them forward even when teams switch agents. It creates a single source of truth so that engineers and digital workers develop against the same structure.

Competing systems such as LongChain and CrewAI also offer support for managing agents, but Reload argues that Epic’s ability to maintain project-level context sets it apart.

Asare and Das, who already built and sold a previous company together, plan to use the fresh capital to grow their team and expand the infrastructure needed for a future in which human workers manage AI employees instead of the other way around.

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Greece positions itself as a global AI bridge

The PM of Greece, Kyriakos Mitsotakis, took part in the India AI Impact Summit in New Delhi as part of a two-day visit that highlighted the country’s ambition to deepen its presence in global technology governance.

A gathering that focuses on creating a coherent international approach to AI under the theme ‘People-Planet-Progress’, with an emphasis on practical outcomes instead of abstract commitments.

Greece presents itself as a link between Europe and the Global South, seeking a larger role in debates over AI policy and geoeconomic strategy.

Mitsotakis is joined by Minister of Digital Governance Dimitris Papastergiou, underscoring Athens’ intention to strengthen partnerships that support technological development.

During the visit, Mitsotakis attended an official dinner hosted by Narendra Modi.

On Thursday, he will address the summit at Bharat Mandapam before holding a scheduled meeting with his Indian counterpart, reinforcing efforts to expand cooperation between Greece and India in emerging technologies.

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UNESCO expands multilingual learning through LearnBig

The LearnBig digital application is expanding access to learning, with UNESCO supporting educational materials in national and local languages instead of relying solely on dominant teaching languages.

A project that aligns with International Mother Language Day and reflects long-standing research showing that children learn more effectively when taught in languages they understand from an early age.

The programme supports communities along the Thailand–Myanmar border, where children gain literacy and numeracy skills in both Thai and their mother tongues.

Young learners can make more substantial academic progress with this approach, which allows them to remain connected to their cultural identity rather than being pushed into unfamiliar linguistic environments. More than 2,000 digital books are available in languages such as Karen, Myanmar, and Pattani Malay.

LearnBig was developed within the ‘Mobile Literacy for Out-of-School Children’ programme, backed by partners including Microsoft, True Corporation, POSCO 1% Foundation and the Ministry of Education of Thailand.

An initiative by UNESCO that has reached more than 526,000 learners, with young people in Yala using tablets to access digital books, while learners in Mae Hong Son study through content presented in their local languages.

The project illustrates the potential of digital innovation to bridge linguistic, social, and geographic divides.

By supporting children who often fall outside formal education systems, LearnBig demonstrates how technology can help build a more inclusive and equitable learning environment rather than reinforcing existing barriers.

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Microsoft and OpenAI fund UK AI alignment project

OpenAI and Microsoft have joined the UK’s AI Security Institute, pledging funding to its Alignment Project, an international effort focused on ensuring advanced AI systems are safe, secure, and act as intended.

Their contributions bring total funding to over £27 million, supporting some 60 research projects across eight countries.

AI alignment aims to steer AI systems to behave predictably and prevent unintended or harmful outcomes. The project provides grants, computing resources, and mentorship, boosting public trust in AI while supporting productivity, medical progress, and new job opportunities.

UK Deputy Prime Minister David Lammy and AI Minister Kanishka Narayan highlighted the importance of safe AI adoption. Lammy said strong safety foundations help the UK harness AI’s benefits, while Narayan stressed that public confidence is key to unlocking its full potential.

The Alignment Project operates with a global coalition including the Canadian Institute for Advanced Research, Amazon Web Services, Anthropic, and other partners.

By combining independent research teams, grant funding, and access to infrastructure, the initiative aims to keep increasingly capable AI systems reliable and controllable as they are deployed worldwide.

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AI model improves long-range space weather forecasts

Scientists from Southwest Research Institute and the National Center for Atmospheric Research, supported by the National Science Foundation, have created an experimental tool that could extend space weather forecasts from hours to several weeks.

Longer lead times would help operators protect satellites, navigation systems, and power infrastructure from solar disturbances. Research focuses on predicting where flare-producing solar active regions form.

By analysing magnetic data captured by the Solar Dynamics Observatory, scientists reconstructed hidden magnetic conditions beneath the Sun’s surface, showing that these regions follow structured magnetic bands rather than appearing randomly.

PINNBARDS, a physics-informed AI model, connects surface observations with deep tachocline dynamics that drive solar magnetic evolution. Better modelling could provide earlier warnings of solar flares and coronal mass ejections, helping protect communications and astronaut safety.

Funding from NASA and Stanford University supported the work. Researchers describe it as a foundation for next-generation forecasting systems capable of anticipating extreme solar activity with greater accuracy.

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Universities in India partner with OpenAI to scale AI education

OpenAI is expanding its footprint in India by partnering with leading higher-education institutions to integrate AI into teaching and research. The initiative aims to reach more than 100,000 students, faculty, and staff over the next year as India seeks to scale domestic AI skills.

Six public and private institutions, spanning engineering, management, medicine, anfd design, will participate in the first phase. Partners include the Indian Institute of Technology Delhi, the Indian Institute of Management Ahmedabad, and the All India Institute of Medical Sciences, New Delhi.

The programme focuses on embedding AI into core academic workflows rather than consumer experimentation. Campus-wide access to ChatGPT Edu, faculty training, and responsible-use frameworks will support applications in coding, research, analytics, and case analysis.

Two institutions will introduce OpenAI-backed certifications, while ed-tech platforms including Physics Wallah, upGrad, and HCL GUVI will extend structured AI training beyond campuses. The move coincides with broader investment by global AI firms as India hosts the AI Impact Summit in New Delhi.

With India now OpenAI’s second-largest user base after the US, the company is positioning universities as a long-term channel for adoption. The expansion reflects a wider contest over who shapes how AI is taught, governed, and embedded across one of the world’s largest education systems.

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