Artificial intelligence is becoming a cornerstone of India’s economic and industrial growth. The upcoming AI summit highlights the goal of building AI as national infrastructure, reflecting India’s languages, values, and knowledge systems.
Indian IT and service industries are moving beyond software maintenance to providing AI infrastructure and intelligent systems. Such a transformation can automate workflows, boost productivity, and create new opportunities domestically and globally.
Industrial AI is set to transform manufacturing, enabling next-generation factories through virtual twin technologies. AI grounded in physics and industrial knowledge allows faster prototyping, efficient resource use, and greater competitiveness for large enterprises and MSMEs.
Collaborations between NVIDIA and Dassault Systèmes showcase AI-driven factories and industrial intelligence. India’s talent, scale, and digital ecosystem position it to lead in industrial and generative AI, setting global technological and economic benchmarks.
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Anthropic’s official announcement emphasises that Claude will not carry advertising or ad-influenced content within conversations, positioning the AI assistant as a trusted and distraction-free ‘space to think’ for tasks ranging from deep thinking and research to work and personal problem-solving.
The company argues that AI interactions differ fundamentally from search or social media, as users often share context-rich, sensitive information where commercial incentives could conflict with genuinely helpful responses.
In the post, Anthropic explains that while ads have a clear place in many digital products, introducing them into conversational AI would compromise usefulness and trust.
Instead, the company plans to generate revenue through enterprise contracts and paid subscriptions, continuing to invest in product improvements, integrations with third-party tools (e.g., Figma, Asana), and broader access initiatives, all without monetising attention or engagement directly.
The statement also notes that Claude’s conversation data is kept private and anonymous, and that ads could skew model incentives toward engagement metrics rather than solving user problems effectively.
Anthropic positions this approach as central to preserving Claude’s role as a dedicated thinking and productivity assistant.
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AI and digital technologies are set to play a central role at the Milano-Cortina 2026 Winter Olympic Games, positioning the event as a global showcase for large-scale AI deployment. Organisers aim to demonstrate how advanced technologies can transform major international events across media, operations, and public engagement.
Audience experience will be significantly reshaped through AI-powered broadcasting and digital platforms. Innovations include first-person drones following athletes in real time and AI-assisted replays that generate multi-angle freeze frames and performance data. In parallel, AI-driven tools on the official Olympic website and social media platforms will offer personalised highlights, summaries, and interactive content.
At the same time, technology will support athletes both on and off the field. AI systems will monitor and flag abusive online content, while dedicated digital applications will assist with training, injury prevention, and communication with family members during competitions.
Beyond digital innovation, the Games will also highlight sustainability through design. Transparent, reusable Olympic torches powered by biofuel and made from recycled materials will showcase how technology can support environmental responsibility alongside sporting tradition.
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The rapid expansion of AI infrastructure, especially high-bandwidth memory (HBM) used in data centres and AI accelerators, is causing memory chip makers to prioritise production capacity for high-margin AI-related products, squeezing the supply of traditional DRAM and NAND used in consumer devices like smartphones, tablets and PCs.
Industry leaders, including Samsung, SK Hynix and Micron, are shifting wafer capacity toward AI-grade memory, and major cloud and hyperscale buyers (e.g., Nvidia, AWS, Google) are securing supply through long-term contracts, which reduces available inventory for mid-tier device manufacturers.
As a result, memory pricing has climbed sharply, forcing consumer electronics makers to raise retail prices, cut specs or downgrade other components to maintain margins.
Analysts warn the mid-range smartphone segment, typically priced between roughly $400–$600, faces a particular squeeze, with fewer compelling devices expected and slower spec improvements, as memory becomes a dominant cost driver and supply constraints persist.
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Scientists are applying AI to enhance iceberg tracking and movement prediction, using machine learning models that analyse historical drift patterns, ocean currents and weather data.
These AI systems aim to identify how icebergs behave over time and improve forecasts for their positions, which can help maritime operators and climate researchers anticipate hazards and plan safe routes.
Traditional methods for tracking icebergs, relying on satellite imagery and manual analysis, are limited by coverage gaps and delays. The new AI techniques can fill these gaps by generating continuous trajectory predictions, enabling more proactive monitoring over remote polar waters.
Researchers suggest that this approach could support shipping safety, offshore operations, and environmental management as climate change alters iceberg calving and drift behaviours.
This work reflects broader trends in using AI for environmental modelling, where machine learning augments physical models to better understand complex natural systems influenced by changing climate conditions.
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Pusan National University is piloting AI-powered translation glasses that display real-time subtitles of Korean-language lectures, aiming to reduce language barriers for international students. As a result, students can follow classes more easily, grasp specialised terminology, and engage more fully without the constant risk of missing key points.
In addition to academic settings, the technology is improving communication across campus life. For example, university staff, including counsellors, report that the glasses enable more natural, face-to-face conversations with foreign students, rather than relying on phones or other intermediary devices for translation.
Moreover, the pilot supports a broader push to internationalise the campus through AI-based multilingual services, including translated course syllabi and websites, with wider rollout to follow pending evaluation.
At the same time, the company behind the glasses is looking to expand adoption beyond Busan. If deployed more widely, the technology could influence higher education policies by easing language requirements and helping universities attract more international students, particularly as domestic enrolment declines.
However, several practical challenges remain. While translation accuracy is already high, issues such as device weight and battery life have prompted the development of lighter models. As the system continues to be refined and trained on academic vocabulary, its reliability and usability are expected to improve further.
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Enterprises in France are accelerating the use of AI to manage increasingly complex multicloud environments, according to new ISG research. Companies in France are balancing innovation, compliance and rising cost pressures.
The report says multicloud adoption in France now extends beyond large corporations to midsize firms and regulated sectors. Organisations in France are spreading workloads across hyperscalers and sovereign clouds to reduce risk.
AI driven automation is becoming central to cloud governance in France as manual oversight proves unsustainable. French enterprises are using AI tools for performance optimisation, anomaly detection and real time policy enforcement.
Data sovereignty and cost control are also shaping cloud strategies in France. Companies in France are adopting FinOps practices and sovereign cloud services to meet regulatory demands and strengthen cybersecurity.
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The US tech giant, Amazon, is preparing a new phase for its proprietary production tools as the company opens a closed beta that will give selected studios early access to its AI systems.
Developers created the technology inside Amazon MGM Studios to improve character consistency across scenes and speed up work in pre and post-production instead of relying on fragmented processes.
The programme begins in March and is expected to deliver initial outcomes by May. Amazon is working with recognised industry figures such as Robert Stromberg, Kunal Nayyar and former Pixar animator Colin Brady to refine the methods.
The company is also drawing on Amazon Web Services and several external language model providers to strengthen performance.
Executives insist the aim is to assist creative teams rather than remove them from the process. The second season of the series ‘House of David’ already used more than 300 AI-generated shots, showing how the technology can support large-scale productions instead of replacing artistic decision-making.
Industry debate continues to intensify as studios explore new automation methods. Netflix also used generative tools for major scenes in ‘The Eternaut’.
Amazon has repeatedly cited AI progress when announcing staff reductions, which added further concern over the long-term effects on employment and creative roles.
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The dating platform is expanding its reliance on AI, with Tinder experimenting with a feature designed to ease swipe fatigue among users.
A tool, known as Chemistry, that builds a picture of each person through optional questions and by reviewing their Camera Roll with permission, offering a more personalised route toward potential matches instead of repetitive browsing.
Match is currently testing the feature only in Australia. Executives say the system allows people to receive a small set of tailored profiles rather than navigating large volumes of candidates.
Tinder hopes the approach will strengthen engagement during a period when registrations and monthly activity remain lower than last year, despite minor improvements driven by AI-based recommendations.
Developers are also refocusing the broader discovery experience to reflect concerns raised by Gen Z around authenticity, trust and relevance.
The platform now relies on verification tools such as Face Check, which Match says cut harmful interactions by more than half instead of leaving users exposed to impersonators.
These moves indicate a shift away from the swipe mechanic that once defined the app, offering more direct suggestions that may improve outcomes.
Marketing investment is set to rise as part of the strategy. Match plans to allocate $50 million to new campaigns that will position Tinder as appealing again, using creators on TikTok and Instagram to reframe the brand.
Strong quarterly revenue failed to offset weaker guidance, yet the company argues that AI features will help shape a more reliable and engaging service for users seeking consistent matches.
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UK policymakers are advancing a national strategy to expand the use of AI across public services and the wider economy. The goal is to improve productivity, education, and service delivery while building public confidence in the practical benefits of AI.
As part of this approach, Barnsley has been designated as the UK’s first ‘Tech Town’. The South Yorkshire town will act as a pilot site and blueprint for how AI can be deployed locally and scaled nationwide.
AI integration in Barnsley will focus on public services such as schools and NHS facilities. These applications are intended to show how the technology can support learning, enhance efficiency, and improve service outcomes.
Alongside deployment, skills development and job creation are central to the initiative. Training schemes and AI-focused roles are expected to build local talent and support the government’s AI Opportunities Action Plan.
Delivery of the programme will rely on collaboration between central government, local authorities, public sector workers, and industry partners. Major technology firms, including Microsoft and Cisco, have indicated support, highlighting the role of public–private cooperation in scaling AI adoption.
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