Cloud computing

Naver expands physical AI ambitions with $690 million GPU investment

South Korean technology leader Naver is deepening its AI ambitions through a $690 million investment in graphics processing units from 2025.

A move that aims to strengthen its AI infrastructure and drive the development of physical AI, a field merging digital intelligence with robotics, logistics, and autonomous systems.

Beyond its internal use, Naver plans to monetise its expanded computing power by offering GPU-as-a-Service to clients across sectors, creating new revenue opportunities aligned with its AI ecosystem.

Chief Executive Choi Soo-yeon described physical AI as the firm’s next growth pillar, combining robotics, data, and generative AI to reshape both digital and industrial environments. The company already holds a significant share of the global robotics operating system market, underlining its technological maturity.

An investment that marks a strategic shift from software-based AI to infrastructure-driven intelligence, positioning Naver as a leader in integrating AI with real-world applications.

As global competition intensifies, Naver’s model of coupling high-performance computing with robotics innovation signals the emergence of South Korea as a centre for applied AI technology.

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Material-level AI emerges in MIT–DeRucci sleep science collaboration

MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.

Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.

Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.

Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.

Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.

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OpenAI becomes fastest-growing business platform in history

OpenAI has surpassed 1 million business customers, becoming the fastest-growing business platform in history. Companies in healthcare, finance, retail, and tech use ChatGPT for Work or API access to enhance operations, customer experiences, and team workflows.

Consumer familiarity is driving enterprise adoption. With over 800 million weekly ChatGPT users, rollouts face less friction. ChatGPT for Work now has more than 7 million seats, growing 40% in two months, while ChatGPT Enterprise seats have increased ninefold year-over-year.

Businesses are reporting strong ROI, with 75% seeing positive results from AI deployment.

New tools and integrations are accelerating adoption. Company knowledge lets AI work across Slack, SharePoint, and GitHub. Codex accelerates engineering workflows, while AgentKit facilitates rapid enterprise agent deployment.

Multimodal models now support text, images, video, and audio, allowing richer workflows across industries.

Many companies are building applications directly on OpenAI’s platform. Brands like Canva, Spotify, and Shopify are integrating AI into apps, and the Agentic Commerce Protocol is bringing conversational commerce to everyday experiences.

OpenAI aims to continue expanding capabilities in 2026, reimagining enterprise workflows with AI at the core.

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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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