Telecommunications infrastructure Archives | Page 58 of 127

Microsoft brings Anthropic AI into Office 365 as OpenAI tensions rise

The US tech giant Microsoft is expanding its AI strategy by integrating Anthropic’s Claude models into Office 365, adding them to apps like Word, Excel and Outlook instead of relying solely on OpenAI.

Internal tests reportedly showed Anthropic’s systems outperforming OpenAI in specific reasoning and data-processing tasks, prompting Microsoft to adopt a hybrid approach while maintaining OpenAI as a frontier partner.

The shift reflects growing strain between Microsoft and OpenAI, with disputes over intellectual property and cloud infrastructure as well as OpenAI’s plans for greater independence.

By diversifying suppliers, Microsoft reduces risks, lowers costs and positions itself to stay competitive while OpenAI prepares for a potential public offering and develops its own data centres.

Anthropic, backed by Amazon and Google, has built its reputation on safety-focused AI, appealing to Microsoft’s enterprise customers wary of regulatory pressures.

Analysts believe the move could accelerate innovation, spark a ‘multi-model era’ of AI integration, and pressure OpenAI to enhance its technology faster.

The decision comes amid Microsoft’s push to broaden its AI ecosystem, including its in-house MAI-1 model and partnerships with firms like DeepSeek.

Regulators are closely monitoring these developments, given Microsoft’s dominant role in AI investment and the potential antitrust implications of its expanding influence.

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Arm unveils Lumex mobile chips built for AI

UK-based chip designer Arm introduced Lumex, a next-generation chip design explicitly designed to power AI on smartphones, smartwatches, and next-generation PCs.

Arm, whose processor architecture underpins devices from Apple and Nvidia, described Lumex as its most advanced platform yet for real-time AI assistance, communication and on-device personalisation.

Arm’s senior vice-president Chris Bergey said consumers now expect instant, private, seamless AI features instead of gradual improvements.

The Lumex platform combines performance, privacy, and efficiency, allowing partners to use the design as delivered or configure it to their own requirements.

A brand that is part of a broader naming structure includes Neoverse for infrastructure, Niva for PCs, Zena for automotive, and Orbis for the internet of things.

Meanwhile, Arm is reportedly preparing to manufacture its chips, having recruited Amazon’s Rami Sinno, who helped build Trainium and Inferentia, to strengthen its in-house ambitions.

These moves mark a significant moment for Arm, as the company seeks to expand its influence in the AI hardware space and reduce reliance on licensing alone.

With the rise of generative AI, the push for high-performance chips designed around on-device intelligence is becoming central to the future of mobile technology.

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New project expands AI access for African languages

Africa is working to close the AI language gap, as most global tools remain trained on English, Chinese, and European languages.

The African Next Voices project has created the continent’s largest dataset of spoken African languages, covering 18 tongues across Kenya, Nigeria, and South Africa. Supported by a $2.2m Gates Foundation grant, the dataset includes 9,000 hours of speech in farming, health, and education settings.

Languages such as Hausa, Yoruba, isiZulu, and Kikuyu are now available for developers to build translation, transcription, and conversational AI tools. Farmers like South Africa’s Kelebogile Mosime already use local-language apps to solve agricultural challenges.

Start-ups, including Lelapa AI, are building products in African languages for banks and telecoms. Researchers warn that without such initiatives, millions risk exclusion from vital services and cultural knowledge could be lost.

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Google boosts Gemini with audio uploads and NotebookLM upgrades

The US tech giant has expanded the capability of its Gemini app by allowing users to upload audio files for AI analysis across Android, iOS, and the web. The upgrade enables transcription of interviews, voice memos and lecture recordings instead of relying solely on typed or spoken prompts.

Free-tier users can upload clips of up to ten minutes with five prompts daily, while paid subscribers have access to three hours of uploads across multiple files. According to Gemini vice president Josh Woodward, the feature is designed to make the platform more versatile and practical for everyday tasks.

Google has also enhanced its Search AI mode with five new languages, including Hindi, Japanese and Korean, extending its multilingual reach.

NotebookLM, the company’s research assistant powered by Gemini, can now generate structured reports such as quizzes, study guides and blog posts from uploaded content, available in more than 80 languages.

These improvements underline Google’s ambition to integrate AI more deeply into everyday applications instead of leaving the technology confined to experimental tools. They also highlight growing competition in the AI market, with Google using Gemini 2.5 to expand its services for global users.

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AI Mode in Google Search adds multilingual support to Hindi and four more languages

Google has announced an expansion of AI Mode in Search to five new languages, including Hindi, Indonesian, Japanese, Korean and Brazilian Portuguese. The feature was first introduced in English in March and aims to compete with AI-powered search platforms such as ChatGPT Search and Perplexity AI.

The company highlighted that building a global search experience requires more than translation. Google’s custom version of Gemini 2.5 uses advanced reasoning and multimodal capabilities to provide locally relevant and useful search results instead of offering generic answers.

AI Mode now also supports agentic tasks such as booking restaurant reservations, with plans to include local service appointments and event ticketing.

Currently, these advanced functions are available to Google AI Ultra subscribers in the US, while India received the rollout of the language expansion in July.

These developments reinforce Google’s strategy to integrate AI deeply into its search ecosystem, enhancing user experience across diverse regions instead of limiting sophisticated AI tools to English-language users.

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New ChatGPT feature enables multi-threaded chats

The US AI firm OpenAI has introduced a new ChatGPT feature that allows users to branch conversations into separate threads and explore different tones, styles, or directions without altering the original chat.

The update, rolled out on 5 September, is available to anyone logged into ChatGPT through the web version.

The branching tool lets users copy a conversation from a chosen point and continue in a new thread while preserving the earlier exchange.

Marketing teams, for example, could test formal, informal, or humorous versions of advertising content within parallel chats, avoiding the need to overwrite or restart a conversation.

OpenAI described the update as a response to user requests for greater flexibility. Many users had previously noted that a linear dialogue structure limited efficiency by forcing them to compare and copy content repeatedly.

Early reactions online have compared the new tool to Git, which enables software developers to branch and merge code.

The feature has been welcomed by ChatGPT users who are experimenting with brainstorming, project analysis, or layered problem-solving. Analysts suggest it also reduces cognitive load by allowing users to test multiple scenarios more naturally.

Alongside the update, OpenAI is working on other projects, including a new AI-powered jobs platform to connect workers and companies more effectively.

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Mistral secures €1.3B ASML investment amid $14B valuation

ASML has reportedly become the top shareholder in French AI company Mistral after investing €1.3 billion. The deal forms part of a wider €2 billion funding round that values Mistral at $14 billion, marking a significant milestone for the Paris-based startup.

The Dutch chip-making equipment giant will also gain a board seat at Mistral, with Bank of America advising on the investment. The move is seen as a step towards reinforcing European technological sovereignty by reducing reliance on American and Chinese AI systems.

The partnership could help Mistral expand its generative AI tools and open-source platforms while enhancing ASML’s ability to integrate data analytics into its operations.

Industry analysts suggest the collaboration will unite two European technology leaders at a critical moment in the global race for AI dominance.

Founded by Timothée Lacroix, Guillaume Lample, and Arthur Mensch, Mistral has quickly become one of Europe’s most valuable AI startups.

The company, backed by investors including Microsoft, Databricks, and General Catalyst, develops open-source generative AI models that directly compete with those produced by OpenAI.

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Australia moves to block AI nudify apps

Australia has announced plans to curb AI tools that generate nude images and enable online stalking. The government said it would introduce new legislation requiring tech companies to block apps designed to abuse and humiliate people.

Communications Minister Anika Wells said such AI tools are fuelling sextortion scams and putting children at risk. So-called ‘nudify’ apps, which digitally strip clothing from images, have spread quickly online.

A Save the Children survey found one in five young people in Spain had been targeted by deepfake nudes, showing how widespread the abuse has become.

Canberra pledged to use every available measure to restrict access, while ensuring that legitimate AI services are not harmed. Australia has already passed strict laws banning under-16s from social media, with the new measures set to build on its reputation as a leader in online safety.

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ITU warns global Internet access by 2030 could cost nearly USD 2.8 trillion

Universal Internet connectivity by 2030 could cost up to $2.8 trillion, according to the International Telecommunication Union (ITU) and Saudi Arabia’s Communications, Space, and Technology (CST) Commission. The blueprint urges global cooperation to connect the one-third of humanity still offline.

The largest share, up to $1.7 trillion, would be allocated to expanding broadband through fibre, wireless, and satellite networks. Nearly $1 trillion is needed for affordability measures, alongside $152 billion for digital skills programmes.

ITU Secretary-General Doreen Bogdan-Martin emphasised that connectivity is essential for access to education, employment, and vital services. She noted the stark divide between high-income countries, where 93% of people are online, and low-income states, where only 27% use the Internet.

The study shows costs have risen fivefold since ITU’s 2020 Connecting Humanity report, reflecting both higher demand and widening divides. Haytham Al-Ohali from Saudi Arabia said the figures underscore the urgency of investment and knowledge sharing to achieve meaningful connectivity.

The report recommends new business models and stronger cooperation between governments, industry, and civil society. Proposed measures include using schools as Internet gateways, boosting Africa’s energy infrastructure, and improving localised data collection to accelerate digital inclusion.

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EASA survey reveals cautious optimism over aviation AI ethics

The European Union Aviation Safety Agency (EASA) has published survey results probing the ethical outlook of aviation professionals on AI deployment, released during its AI Days event in Cologne.

The AI Days conference gathered nearly 200 on-site attendees from across the globe, with even more participating online.

The survey measured acceptance, trust and comfort across eight hypothetical AI use cases, yielding an average acceptance score of 4.4 out of 7. Despite growing interest, two-thirds of respondents declined at least one scenario.

Their key concerns included limitations of AI performance, privacy and data protection, accountability, safety risks and the potential for workforce de-skilling. A clear majority called for stronger regulation and oversight by EASA and national authorities.

In a keynote address, Christine Berg from the European Commission highlighted that AI in aviation is already practical, optimising air traffic flow and predictive maintenance, while emphasising the need for explainable, reliable and certifiable systems under the EU AI Act.

Survey findings will feed into EASA’s AI Roadmap and prompt public consultations as the agency advances policy and regulatory frameworks.

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