Cloud computing

MAI-Image-1 arrives in Bing and Copilot with EU launch on the way

Microsoft’s in-house image generator, MAI-Image-1, now powers Bing Image Creator and Copilot Audio Expressions, with EU availability coming soon, according to Mustafa Suleyman. It’s optimised for speed and photorealism in food, landscapes, and stylised lighting.

In Copilot’s Story Mode, MAI-Image-1 pairs artwork with AI audio, linking text-to-image and text-to-speech. Microsoft pitches realism and fast iteration versus larger, slower models to shorten creative workflows.

The rollout follows August’s MAI-Voice-1 and MAI-1-preview. Copilot is shifting to OpenAI’s GPT-5 while continuing to offer Anthropic’s Claude, signalling a mixed-model strategy alongside homegrown systems.

Bing’s Image Creator lists three selectable models, which are MAI-Image-1, OpenAI’s DALL-E 3, and OpenAI’s GPT-4o. Microsoft says MAI-Image-1 enables faster ideation and hand-off to downstream tools for refinement.

Analysts see MAI-Image-1 as part of a broader effort to reduce dependence on third-party image systems while preserving user choice. Microsoft highlights safety tooling and copyright-aware practices across Copilot experiences as adoption widens.

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Bahrain’s 5G network expansion will boost connectivity

Bahrain’s 5G network expansion takes a major step forward as Ericsson renews its partnership with Batelco to enhance the kingdom’s digital infrastructure.

The agreement, finalised during the Gateway Gulf Investment Forum, aims to boost Bahrain’s 5G Network connectivity, drive digital transformation, and support Bahrain’s growing demand for high-speed mobile services.

The Bahrain 5G network expansion will extend 5G coverage to residential, commercial, hospitality, and industrial zones, including major areas such as Diyar Al Muharraq, Salman City, Bahrain Bay, and Ras Zuwaied. This rollout ensures faster, more reliable 5G connectivity, catering to both consumers and businesses across the kingdom.

Ericsson will deploy its latest Radio Access Network (RAN) technologies, featuring advanced radios, efficient power systems, and eco-friendly battery solutions. These upgrades optimise network performance, energy efficiency, and reduce hardware footprint.

Additionally, Batelco’s cloud infrastructure will be modernised, improving scalability, operational efficiency, and support for IoT, 5G Advanced applications, and AI-driven operations.

According to Batelco’s CEO, these initiatives will keep Bahrain’s 5G network innovative, reliable, and high-performing, delivering an exceptional digital experience for all users.

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SoftBank and OpenAI bring enterprise AI revolution to Japan

SoftBank and OpenAI have announced the launch of SB OAI Japan, a new joint venture established to deliver an advanced enterprise AI solution known as Crystal Intelligence. Unveiled on 5 November 2025, the initiative aims to transform Japan’s corporate management through tailored AI solutions.

SB OAI Japan will exclusively market Crystal Intelligence in Japan starting in 2026. The platform integrates OpenAI’s latest models with local implementation, system integration, and ongoing support.

Designed to enhance productivity and streamline management, Crystal Intelligence will help Japanese companies adopt AI tools suited to their specific operational needs.

SoftBank Corp. will be the first to deploy Crystal intelligence, testing and refining the technology before wider release. The company plans to share insights through SB OAI Japan to drive AI-powered transformation across industries.

The partnership underscores SoftBank’s vision of becoming an AI-native organisation. The group has already developed around 2.5 million custom GPTs for internal use.

OpenAI CEO Sam Altman stated that the venture marks a significant step in bringing advanced AI to global enterprises. At the same time, SoftBank’s Masayoshi Son described it as the beginning of a new era where AI agents autonomously collaborate to achieve business goals.

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AWS launches Fastnet, a subsea cable to strengthen transatlantic cloud and AI connectivity

Amazon Web Services has announced Fastnet, a high-capacity transatlantic subsea cable connecting Maryland and County Cork.

Set to be operational in 2028, Fastnet will expand AWS’s network resilience and deliver faster, more reliable cloud and AI services between the US and Europe.

The cable’s unique route provides critical redundancy, ensuring service continuity even when other cables face disruptions. Capable of transmitting over 320 terabits per second, Fastnet supports large-scale cloud computing and AI workloads while integrating directly into AWS’s global infrastructure.

The system’s design enables real-time data redirection and long-term scalability to meet the increasing demands of AI and edge computing.

Beyond connectivity, AWS is investing in community benefit funds for Maryland and County Cork, supporting local sustainability, education, and workforce development.

A project that reflects AWS’s wider strategy to reinforce critical digital infrastructure and strengthen global innovation in the cloud economy.

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Microsoft partners with Lambda in multibillion AI infrastructure deal

Lambda has announced a multibillion-euro agreement with Microsoft to expand AI infrastructure powered by tens of thousands of NVIDIA GPUs, marking one of the largest private cloud computing collaborations to date.

The multi-year deal aims to accelerate the deployment of AI supercomputers at scale, enhancing the capacity for enterprise and research applications across industries.

Under the partnership, Lambda will provide mission-critical cloud compute infrastructure using NVIDIA GB300 NVL72 systems.

A collaboration that builds on an eight-year relationship between the two companies and reflects growing global demand for high-performance computing driven by the rise of AI assistants and enterprise AI solutions.

Stephen Balaban, CEO of Lambda, said the project represents a major step in developing gigawatt-scale AI factories capable of serving billions of users. The company positions itself as a trusted large-scale partner for organisations building advanced AI models and systems.

Founded in 2012, Lambda designs supercomputing infrastructure for AI training and inference, aiming to make computing power as accessible as electricity and to advance what it calls the era of ‘superintelligence’.

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Cloudflare chief warns AI is redefining the internet’s business model

AI is inserting itself between companies and customers, Cloudflare CEO Matthew Prince warned in Toronto. More people ask chatbots before visiting sites, dulling brands’ impact. Even research teams lose revenue as investors lean on AI summaries.

Frontier models devour data, pushing firms to chase exclusive sources. Cloudflare lets publishers block unpaid crawlers to reclaim control and compensation. The bigger question, said Prince, is which business model will rule an AI-mediated internet.

Policy scrutiny focuses on platforms that blend search with AI collection. Prince urged governments to separate Google’s search access from AI crawling to level the field. Countries that enforce a split could attract publishers and researchers seeking predictable rules and payment.

Licensing deals with news outlets, Reddit, and others coexist with scraping disputes and copyright suits. Google says it follows robots.txt, yet testimony indicated AI Overviews can use content blocked by robots.txt for training. Vague norms risk eroding incentives to create high-quality online content.

A practical near-term playbook combines technical and regulatory steps. Publishers should meter or block AI crawlers that do not pay. Policymakers should require transparency, consent, and compensation for high-value datasets, guiding the shift to an AI-mediated web that still rewards creators.

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Qwen3-Max-Thinking hits perfect scores as Alibaba raises the bar on AI reasoning

Alibaba unveiled Qwen3-Max-Thinking, which scored 100 percent on AIME 2025 and HMMT, matching OpenAI’s top model on reasoning tests. It targets high-precision problem-solving across algebra, number theory, and probability. Researchers regard elite maths contests as strong proxies for reasoning.

Built on Qwen3-Max, a trillion-parameter flagship, the thinking variant emphasises step-by-step solutions. Alibaba says it matches or beats Claude Opus 4, DeepSeek V3.1, Grok 4, and GPT-5 Pro. Positioning stresses accuracy, traceability, and controllable latency.

Signal from a live trading trial added momentum. In a two-week crypto experiment, Qwen3-Max returned 22.3 percent on 10,000 US dollars. Competing systems underperformed, with DeepSeek at 4.9 percent and several US models booking losses.

Access is available via the Qwen web chatbot and Alibaba Cloud APIs. Early adopters can test tool use and stepwise reasoning on technical tasks. Enterprises are exploring finance, research, and operations cases requiring reliability and auditability.

Alibaba researchers say further tuning will broaden task coverage without diluting peak maths performance. Plans include multilingual reasoning, safety alignment, and robustness under distribution shift. Community benchmarks and contests will track progress.

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AWS becomes key partner in OpenAI’s $38 billion AI growth plan 

Amazon Web Services (AWS) and OpenAI have entered a $38 billion, multi-year partnership that will see OpenAI run and scale its AI workloads on AWS infrastructure. The seven-year deal grants OpenAI access to vast NVIDIA GPU clusters and the capacity to scale to millions of CPUs.

The collaboration aims to meet the growing global demand for computing power driven by rapid advances in generative AI.

OpenAI will immediately begin using AWS compute resources, with all capacity expected to be fully deployed by the end of 2026. The infrastructure will optimise AI performance by clustering NVIDIA GB200 and GB300 GPUs via Amazon EC2 UltraServers for low-latency, large-scale processing.

These clusters will support tasks such as training new models and serving inference for ChatGPT.

OpenAI CEO Sam Altman said the partnership would help scale frontier AI securely and reliably, describing it as a foundation for ‘bringing advanced AI to everyone.’ AWS CEO Matt Garman noted that AWS’s computing power and reliability make it uniquely positioned to support OpenAI’s growing workloads.

The move strengthens an already active collaboration between the two firms. Earlier this year, OpenAI’s models became available on Amazon Bedrock, enabling AWS clients such as Peloton, Thomson Reuters, and Comscore to adopt advanced AI tools.

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Enterprise AI gains traction at Mercedes-Benz with Celonis platform

Mercedes-Benz reported faster decisions and better on-time delivery at Celosphere 2025. Using Celonis within MO360, it unifies production and logistics data, extending visibility across every order, part, and process.

Order-to-delivery operations use AI copilots to forecast timelines, optimise sequencing, and cut delays. After-sales teams surface bottlenecks in service parts logistics and speed customer responses. Quality management utilises anomaly detection to identify deviations early, preventing them from impacting production output.

Executives say complete data transparency enables teams to act faster and with greater precision across production and supply chains. The approach helps anticipate change and react to market shifts. Hundreds of active users are expanding adoption as data-driven practices scale across the company.

Celonis positions process intelligence as the backbone that makes enterprise AI valuable. Integrated process data and business context create a live operational twin. The goal is moving from visibility to action, unlocking value through targeted fixes and intelligent automation.

Conference sessions highlighted broader momentum for process intelligence and AI in industry. Leaders discussed governance, standards, and measurable outcomes from digital platforms. Mercedes-Benz framed its results as proof that structured data and AI can lift performance at a global scale.

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Deutsche Telekom joins Theta Network as enterprise validator

Deutsche Telekom has joined the Theta Network as a strategic enterprise validator, alongside Google, Samsung and Sony. The company becomes the first major telecom provider to take part in securing the decentralised blockchain platform.

The partnership involves staking THETA tokens and operating validator nodes that support Theta’s layer-1 infrastructure for AI, cloud and media applications. Deutsche Telekom’s unit, T-Systems MMS, will manage the validator operations.

Theta Labs said the collaboration enhances network resilience and underlines growing enterprise interest in decentralised computing. The project’s EdgeCloud system is designed to distribute AI workloads across global nodes more efficiently.

Deutsche Telekom noted that Theta’s decentralised model aligns with its vision of providing reliable, scalable cloud and edge services for future digital ecosystems.

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