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Qwen relaunch aims to unify Alibaba’s mobile AI ecosystem

Alibaba is preparing a major overhaul of its mobile AI apps, renaming Tongyi as Qwen and adding early agentic features. The update aims to make Qwen resemble leading chatbots while linking AI tools to Taobao and other services. Alibaba also plans a global version once the new design stabilises.

Over one hundred developers are working on the project as part of wider AI investments. Alibaba hopes Qwen can anchor its consumer AI strategy and regain momentum in a crowded market. It still trails Doubao and Yuanbao in user popularity and needs a clearer consumer path.

Monetisation remains difficult in China because consumers rarely pay for digital services. Alibaba thinks shopping features will boost adoption by linking AI directly to e-commerce use. Qwen will stay free for now, allowing the company to scale its user base before adding paid options.

Alibaba wants to streamline its overlapping apps by directing users to one unified Qwen interface. Consolidation is meant to strengthen brand visibility and remove confusion around different versions. A single app could help Alibaba stand out as Chinese firms race to deploy agentic AI.

Chinese and US companies continue to expand spending on frontier AI models, cloud infrastructure, and agent tools. Alibaba reported strong cloud growth and rising demand for AI products in its latest quarter. The Qwen relaunch is its largest attempt to turn technical progress into a viable consumer business.

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European Commission launches Culture Compass to strengthen the EU identity

The European Commission unveiled the Culture Compass for Europe, a framework designed to place culture at the heart of the EU policies.

An initiative that aims to foster the identity ot the EU, celebrate diversity, and support excellence across the continent’s cultural and creative sectors.

The Compass addresses the challenges facing cultural industries, including restrictions on artistic expression, precarious working conditions for artists, unequal access to culture, and the transformative impact of AI.

It provides guidance along four key directions: upholding European values and cultural rights, empowering artists and professionals, enhancing competitiveness and social cohesion, and strengthening international cultural partnerships.

Several initiatives will support the Compass, including the EU Artists Charter for fair working conditions, a European Prize for Performing Arts, a Youth Cultural Ambassadors Network, a cultural data hub, and an AI strategy for the cultural sector.

The Commission will track progress through a new report on the State of Culture in the EU and seeks a Joint Declaration with the European Parliament and Council to reinforce political commitment.

Commission officials emphasised that the Culture Compass connects culture to Europe’s future, placing artists and creativity at the centre of policy and ensuring the sector contributes to social, economic, and international engagement.

Culture is portrayed not as a side story, but as the story of the EU itself.

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AI tools deployed to set tailored attendance goals for English schools

England will introduce AI-generated attendance targets for each school, setting tailored improvement baselines based on the context and needs of each school. Schools with higher absence rates will be paired with strong performers for support. Thirty-six new Attendance and Behaviour Hubs will help drive the rollout.

Education Secretary Bridget Phillipson said raising attendance is essential for opportunity. She highlighted the progress made since the pandemic, but noted that variation remains too high. The AI targets aim to disseminate effective practices across all schools.

A new toolkit will guide schools through key transition points, such as the transition from Year 7 to Year 8. CHS South in Manchester is highlighted for using summer family activities to ease anxiety. Officials say early engagement can stabilise attendance.

CHS South Deputy Head Sue Burke said the goal is to ensure no pupil feels left out. She credited the attendance team for combining support with firm expectations. The model is presented as a template for broader adoption.

The policy blends AI analysis with pastoral strategies to address entrenched absence. Ministers argue that consistent attendance drives long-term outcomes. The UK government expects personalised targets and shared practice to embed lasting improvement.

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EU regulators, UK and eSafety lead the global push to protect children in the digital world

Children today spend a significant amount of their time online, from learning and playing to communicating.

To protect them in an increasingly digital world, Australia’s eSafety Commissioner, the European Commission’s DG CNECT, and the UK’s Ofcom have joined forces to strengthen global cooperation on child online safety.

The partnership aims to ensure that online platforms take greater responsibility for protecting and empowering children, recognising their rights under the UN Convention on the Rights of the Child.

The three regulators will continue to enforce their online safety laws to ensure platforms properly assess and mitigate risks to children. They will promote privacy-preserving age verification technologies and collaborate with civil society and academics to ensure that regulations reflect real-world challenges.

By supporting digital literacy and critical thinking, they aim to provide children and families with safer and more confident online experiences.

To advance the work, a new trilateral technical group will be established to deepen collaboration on age assurance. It will study the interoperability and reliability of such systems, explore the latest technologies, and strengthen the evidence base for regulatory action.

Through closer cooperation, the regulators hope to create a more secure and empowering digital environment for young people worldwide.

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AI and digital tools improve early dementia detection in primary care

Early detection of Alzheimer’s is often limited in primary care due to short consultations, focus on other health issues, and stigma. Researchers have now demonstrated that a fully digital, zero-cost approach can overcome these barriers without requiring additional clinician time.

A pragmatic clinical trial involving over 5,000 patients tested a dual method combining the Quick Dementia Rating System (QDRS), a ten-question patient-reported survey, with an AI-powered passive digital marker.

The approach, embedded in electronic health records, increased new dementia diagnoses by 31 percent compared with usual care and prompted 41 percent more follow-up assessments, such as cognitive tests and neuroimaging.

The passive digital marker from Regenstrief uses machine learning to analyse health records for memory issues and vascular concerns. Open-source and free, it flags at-risk patients and sends results to clinicians’ EHRs with no extra time or staff needed.

Researchers highlight that embedding these tools directly into routine care can improve equity, thereby reaching populations that the healthcare system has traditionally underserved.

Experts say that using patient-reported outcomes with AI is a scalable and efficient way to detect dementia early, without adding burden to primary care teams.

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Αnthropic pledges $50 billion to expand the US AI infrastructure

The US AI safety and research company, Anthropic, has announced a $50 billion investment to expand AI computing infrastructure inside the country, partnering with Fluidstack to build data centres in Texas and New York, with additional sites planned.

These facilities are designed to optimise efficiency for Anthropic’s workloads, supporting frontier research and development in AI.

The project is expected to generate approximately 800 permanent jobs and 2,400 construction positions as sites come online throughout 2026.

An investment that aligns with the Trump administration’s AI Action Plan, aiming to maintain the US leadership in AI while strengthening domestic technology infrastructure and competitiveness.

Dario Amodei, CEO and co-founder of Anthropic, highlighted the importance of such an infrastructure in developing AI systems capable of accelerating scientific discovery and solving complex problems.

The company serves over 300,000 business customers, with a sevenfold growth in large accounts over the past year, demonstrating strong market demand for its Claude AI platform.

Fluidstack was selected as Anthropic’s partner for its agility in rapidly deploying high-capacity infrastructure. The collaboration aims to provide cost-effective and capital-efficient solutions to meet the growing demand, ensuring that research and development can continue to be at the forefront of AI innovation.

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Meta expands AI infrastructure with $1 billion sustainable facility

The US tech giant, Meta, has announced the construction of its 30th data centre in Beaver Dam, Wisconsin, a $1 billion investment that will power the company’s growing AI infrastructure while benefiting the local community and environment.

A facility, designed to support Meta’s most demanding AI workloads, that will run entirely on clean energy and create more than 100 permanent jobs alongside 1,000 construction roles.

The company will invest nearly $200 million in energy infrastructure and donate $15 million to Alliant Energy’s Hometown Care Energy Fund to assist families with home energy costs.

Meta will also launch community grants to fund schools and local organisations, strengthening technology education and digital skills while helping small businesses use AI tools more effectively.

Environmental responsibility remains central to the project. The data centre will use dry cooling, eliminating water demands during operation, and restore 100% of consumed water to local watersheds.

In partnership with Ducks Unlimited, Meta will revitalise 570 acres of wetlands and prairie, transforming degraded habitats into thriving ecosystems. The facility is expected to achieve LEED Gold Certification, reflecting Meta’s ongoing commitment to sustainability and community-focused innovation.

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AI agents redefine customer service efficiency

Companies are transforming routine customer interactions into effortless experiences using AI-powered agents. Instead of endless phone transfers, users now get instant answers or bookings through Agentforce-powered systems.

The focus is not on selling more products, but on improving satisfaction with existing services.

Travel platform Engine is already seeing results. Its Agentforce assistant, Eva, can process partial booking cancellations in seconds by combining customer data with internal booking tools.

By narrowing Eva’s focus to a handful of topics, Engine improved both response speed and customer satisfaction by six points. The result is less frustration, reduced hold times, and smoother travel management.

Retailer Williams Sonoma, Inc. is also personalising customer interactions through its virtual assistant, Olive. Beyond processing returns, Olive provides menu suggestions, wine pairings, and meal preparation schedules to help customers host effortlessly.

The aim, according to Chief Technology and Digital Officer Sameer Hassan, is to deliver experiences that teach and inspire rather than promote sales.

Luxury fitness brand Equinox follows a similar path. Its AI assistant now helps members find and book classes directly, reducing clicks and improving usability. As EVP and CTO, Eswar Veluri said simplifying patterns is key to enhancing member experience through innovative tools.

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Google and Cassava expand Gemini access in Africa

Google announced a partnership with Cassava Technologies to widen access to Gemini across Africa. The deal includes data-free Gemini usage for eligible users coordinated through Cassava’s network partners. The initiative aims to address affordability and adoption barriers for mobile users.

A six-month trial of the Google AI Plus plan is part of the package. Benefits include access to more capable Gemini models and added cloud storage. Coverage by regional tech outlets reported the exact core details.

Education features were highlighted, including NotebookLM for study aids and Gemini in Docs for writing support. Google said the offer aims to help students, teachers, and creators work without worrying about data usage. Reports highlight a focus on youth and skills development.

Cassava’s role aligns with broader investments in AI infrastructure and services across the continent; recent announcements reference model exchanges and planned AI facilities that support regional development. Observers see momentum behind accessible AI tools.

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Private AI Compute by Google blends cloud power with on-device privacy

Google introduced Private AI Compute, a cloud platform that combines the power of Gemini with on-device privacy. It delivers faster AI while ensuring that personal data remains private and inaccessible, even to Google. The system builds on Google’s privacy-enhancing innovations across AI experiences.

As AI becomes more anticipatory, Private AI Compute enables advanced reasoning that exceeds the limits of local devices. It runs on Google’s custom TPUs and Titanium Intelligence Enclaves, securely powering Gemini models in the cloud. The design keeps all user data isolated and encrypted.

Encrypted attestation links a user’s device to sealed processing environments, allowing only the user to access the data. Features like Magic Cue and Recorder on Pixel now perform smarter, multilingual actions privately. Google says this extends on-device protection principles into secure cloud operations.

The platform’s multi-layered safeguards follow Google’s Secure AI Framework and Privacy Principles. Private AI Compute enables enterprises and consumers to utilise Gemini models without exposing sensitive inputs. It reinforces Google’s vision for privacy-centric infrastructure in cloud-enabled AI.

By merging local and cloud intelligence, Google says Private AI Compute opens new paths for private, personalised AI. It will guide the next wave of Gemini capabilities while maintaining transparency and safety. The company positions it as a cornerstone of responsible AI innovation.

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