Renowned physicist John Martinis, a Nobel Prize winner, is pursuing a new quantum computing breakthrough. His early work proved electrical circuits could behave like quantum particles, enabling modern quantum machines.
Momentum grew when Martinis led Google’s ‘quantum supremacy’ experiment, outperforming classical computers in specialised tasks. Scaling remains difficult because fragile qubits, complex wiring and manufacturing limits reduce reliability.
Startup QoLab, founded in 2024, is redesigning quantum chip architecture to solve those hardware problems. Integrating components onto chips could reduce wiring, improve stability and enable larger systems.
Useful quantum computers could transform chemistry, materials science and complex simulations beyond classical limits. Martinis believes hardware innovation and scalable manufacturing will determine future industry leaders.
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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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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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A senior German official has voiced frustration over joint tech sovereignty efforts with France, describing the experience as disillusioning. The remarks followed a high profile digital summit hosted by Germany and France in Berlin.
The comments came from Luise Hölscher of Germany, who said approaches to buying European technology differ sharply between Germany and France. Germany tends to accept solutions from across Europe, while France often favours domestic providers.
Despite tensions, Hölscher said the disagreement has not damaged the wider partnership between Germany and France. Germany is now exploring closer cooperation with other European countries.
The debate unfolds as the EU considers new rules on cloud services and AI procurement across Germany and France. European institutions are weighing how far public bodies should prioritise European suppliers.
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Anthropic has expanded its AI assistant Claude with Cowork, an agent-based workspace for everyday office tasks. Users can grant controlled folder access so Claude can create, edit, and organise files within workflows. Cowork is available in research preview for Claude Max subscribers on macOS.
Claude Cowork breaks work into step-by-step plans and carries out tasks independently. Multiple jobs can run at once, from sorting documents to producing reports from notes or screenshots. The system is positioned as a digital colleague rather than a chatbot.
Anthropic has introduced 11 plug-ins that extend Claude Cowork across legal, sales, marketing, support, and data analysis. Organisations can define workflows, apply brand rules, and integrate business data into task execution. The tools are designed to be customisable without technical complexity.
The company has open-sourced its initial plug-ins and expects enterprises to build tailored versions. Previously part of Claude Code, the tools are now integrated into Claude Cowork through a simplified interface. Anthropic frames the update as embedding AI directly into operations.
Market reaction has highlighted fears that agent-based AI could disrupt software services. Major IT stocks in India reportedly fell following the launch. The term ‘SaaSpocalypse’ reflects unease about AI becoming core infrastructure.
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Researchers in Australia have built the largest quantum simulator yet to study complex quantum materials and advanced electronic behaviour. By placing individual atoms on silicon chips, the system recreates real-material interactions directly at the quantum level.
Unlike conventional computers, which struggle to model certain effects accurately, the simulator directly mirrors how electrons interact inside materials such as superconductors. This allows scientists to explore phenomena that would otherwise require enormous computational resources.
The system, known as Quantum Twins, consists of grids containing 15,000 qubits arranged to emulate atomic structures. By controlling how electrons move and interact across the grid, researchers can replicate key material properties linked to conductivity and magnetic behaviour.
Early experiments successfully simulated transitions between conducting and insulating states, as well as responses to magnetic fields. These results suggest the platform can handle complex two-dimensional systems that challenge classical modelling techniques.
Scientists in Australia believe the simulator could accelerate research into unconventional superconductors and other advanced materials, with potential applications in energy, electronics, medicine, and artificial photosynthesis technologies.
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