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ADQ and the Gates Foundation have announced a partnership aimed at scaling the responsible use of artificial intelligence and education technology to improve learning outcomes for children across sub-Saharan Africa, marking one of the most ambitious cross-sector efforts to apply advanced technology to foundational education systems in the region.

The agreement was unveiled on the sidelines of Abu Dhabi Finance Week during a visit to the UAE by Bill Gates, chair of the Gates Foundation, underscoring the growing role of Abu Dhabi-based sovereign investors in global development initiatives that extend beyond traditional infrastructure and capital deployment.

At its core, the partnership seeks to blend ADQ’s experience as a sovereign investor focused on critical infrastructure and global supply chains with the Gates Foundation’s long-standing work in education, health, and technology-driven development. The collaboration is designed to accelerate the deployment of AI-enabled tools that support teachers, personalise learning, and strengthen education systems while addressing concerns around data privacy, equity, and long-term sustainability.

ADQ–Gates alliance targets AI-powered learning systems as governments and development agencies look for scalable solutions to persistent gaps in literacy, numeracy, and teacher capacity across sub-Saharan Africa. Despite progress in school enrolment over the past two decades, learning outcomes across much of the region continue to lag global averages, with large disparities between urban and rural areas.

Officials familiar with the partnership say the focus will extend beyond hardware or software procurement. Programmes are expected to prioritise teacher support platforms, curriculum-aligned digital content, and AI-driven assessment tools that can function in low-bandwidth environments. Emphasis is also being placed on building local capacity so that education ministries and institutions can manage and adapt systems without long-term dependence on external providers.

The Gates Foundation has invested heavily in education technology across Africa, backing initiatives that use data analytics and adaptive learning models to improve classroom instruction. Its approach has increasingly shifted towards ensuring that digital tools complement teachers rather than replace them, a principle that is expected to guide the collaboration with ADQ.

For ADQ, the partnership aligns with a broader strategy of deploying capital and expertise into sectors that underpin economic resilience and human development. While the Abu Dhabi-based group is widely known for investments in ports, logistics, food security, and energy, it has expanded its scope to include technology-driven solutions with global impact, particularly in emerging markets.

Bill Gates, speaking during his visit to Abu Dhabi, highlighted the transformative potential of AI when applied responsibly to education systems under strain. He noted that advances in machine learning and language models can help teachers tailor lessons to individual students and identify learning gaps early, provided the technology is designed with clear safeguards and local realities in mind.

Education specialists caution that AI adoption in low-income settings carries risks if implemented without adequate oversight. Challenges include uneven access to electricity and connectivity, limited digital literacy among educators, and the potential for algorithmic bias when systems are trained on data that does not reflect local contexts. The partners say governance frameworks and pilot-based rollouts will be central to mitigating these risks.

The collaboration comes at a time when African governments are under pressure to modernise education systems while managing tight budgets and rapidly growing school-age populations. Multilateral lenders and philanthropic organisations have increasingly encouraged public–private partnerships to bridge funding and expertise gaps, particularly in technology deployment.

Abu Dhabi Finance Week has become a platform for such announcements, reflecting the emirate’s ambition to position itself as a hub for global capital addressing development challenges. ADQ’s involvement signals a model in which sovereign investors participate not only as financiers but as strategic partners shaping long-term outcomes.

People briefed on the initiative say initial programmes will focus on a select group of countries, working closely with education ministries to align AI tools with national curricula and policy objectives. Over time, successful models could be adapted across the region, with lessons shared among participating governments.

The Gates Foundation has previously stressed that technology alone cannot fix systemic issues in education, such as overcrowded classrooms or shortages of trained teachers. As a result, the partnership is expected to integrate AI solutions with broader reforms, including teacher training and data-informed policymaking.

Dubai Airports has kicked off what executives describe as one of the most extensive winter flight programmes in its history, as Dubai International and Dubai World Central – Al Maktoum International roll out new airline services, increased frequencies and expanded connectivity to capitalise on sharply rising travel demand. Airlines from Europe, Central Asia and the wider region are boosting capacity, while direct traffic now makes up more than half of passenger movements at DXB, a marker of strong point-to-point travel confidence that underpins the broader network growth.

The winter schedule enhancements come as carriers add new routes and upgrade equipment, signalling robust airline confidence in Dubai’s appeal as an international hub. FlyArystan has joined DXB’s network with twice-weekly flights from Aktau, Kazakhstan, and Austrian Airlines has reinstated five weekly services from Vienna, reflecting growing European engagement. Virgin Atlantic has deployed its larger A350-1000 aircraft on flights into Dubai, increasing seat capacity significantly, and British Airways has restored Airbus A380 operations from London Heathrow, reinforcing transcontinental connectivity. These moves underscore the increasing demand for direct travel to and from Dubai across key long-haul markets.

Connectivity from South Asia and the Middle East is also strengthening, with Varesh Airline initiating twice-weekly flights from Sari, Iran, and Fly Jinnah adding twice-weekly services from Lahore, enhancing point-to-point traffic flows that traditionally surge during the winter travel period. Saudi Arabia continues to be a pivotal market for both airport hubs, remaining DXB’s second-largest country market by passenger share, with combined traffic across DXB and DWC reaching millions of passengers and marking a year-on-year increase. At DWC, passenger numbers have grown sharply, reflecting its rising importance as a complementary gateway within Dubai’s aviation landscape.

DWC’s strategic role has expanded markedly as airlines take advantage of its available capacity to broaden their offerings alongside DXB operations. The airport recorded a substantial rise in passenger volumes over the year and has seen notable increases in cargo and aircraft movements, pointing to broader growth in both passenger and freight activities. Eurowings has played a significant role in this growth, launching a daily service from Stuttgart to DXB, operating a thrice-weekly service from Düsseldorf into DWC, and increasing frequencies to Berlin, Cologne and Hannover, including its Premium Bizclass product on select services.

Dubai Airports’ research leadership highlights this period as pivotal for the sector, emphasising that the breadth of the winter network reflects evolving travel patterns and confidence from airline partners. Direct traffic growth across both airports is attributed to a mix of inbound tourism, outbound resident travel and medium-term relocations, illustrating a diversified demand base that supports sustained connectivity expansion.

Industry observers point out that Europe and Central Asia have been particularly dynamic contributors to the uplift in capacity. FlyArystan’s entry into the market and Austrian Airlines’ service reinstatement exemplify the shifting landscape of global travel demand, with carriers recalibrating their networks to capture increased passenger flows. At the same time, regional carriers are leveraging expanding demand from neighbouring markets, reinforcing Dubai’s position as a central aviation node connecting different parts of the world.

Capacity enhancements on existing routes are another hallmark of this winter schedule. Carriers such as Virgin Atlantic and British Airways have not only increased frequency but also introduced larger, more efficient aircraft to meet peak season travel. This reflects a broader industry trend toward optimising fleet deployment on high-demand city pairs, balancing cost efficiency with passenger comfort.

While the expanded passenger schedule captures much of the spotlight, cargo operations have also seen parallel growth, particularly at DWC where infrastructure and available slots have encouraged carriers and freight operators to scale up activities. Cargo volumes have continued to rise alongside passenger growth, underscoring the dual role of Dubai’s airports as critical hubs for both people and goods movements.

Airport officials note that the broader travel ecosystem — including international business events, sports fixtures, cultural festivals and holiday travel — continues to stimulate demand, complementing the seasonal drivers that historically shape winter travel patterns. This diversified demand mix has provided airlines with a degree of resilience as they invest in expanded services and plan capacity well into the year ahead.

By Nantoo Banerjee It is difficult to explain why the government took nearly 17 years to decide on launching a bill in Parliament to allow private participation in India’s nuclear power generation programme. The proposed Sustainable Harnessing and Advancement of Nuclear Energy for Transforming India (SHANTI) Bill to amend the civil liability law to shield […]

The article ‘SHANTI’ Act Alone May Not Fully Protect Nuclear Plants Against Liabilities appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).

Cognizant has opened a new AI Lab and a Moment Studio in Bengaluru, signalling a deeper push into enterprise-focused artificial intelligence, multi-agent systems and immersive digital experiences as global clients accelerate adoption of advanced automation and data-driven platforms.

The facilities, located in the city’s technology corridor, are designed to function as integrated hubs where research, product engineering and client co-creation converge. Cognizant said the AI Lab will concentrate on applied research across generative AI, multi-agent architectures, responsible AI frameworks and industry-specific models, while the Moment Studio will focus on experience-led design, blending AI with data, cloud and interactive technologies to help enterprises modernise customer and employee journeys.

Bengaluru’s selection reflects its role as Cognizant’s largest delivery base worldwide and a centre for digital engineering talent. The company employs tens of thousands of professionals across the city, spanning cloud, analytics, cybersecurity and software engineering. Senior executives have described the new facilities as a strategic investment aimed at shortening the distance between innovation and deployment at a time when clients are moving from pilots to scaled AI implementation.

The AI Lab is expected to work on multi-agent systems that allow autonomous software agents to collaborate, negotiate tasks and adapt to changing business conditions. Such systems are increasingly viewed as a step beyond single-model generative AI, particularly for complex enterprise workflows such as supply chain optimisation, financial operations, software testing and IT service management. Cognizant engineers will also focus on building governance layers to address transparency, bias mitigation, data lineage and regulatory compliance, areas that have become central to enterprise adoption.

Alongside this, the Moment Studio will act as a client-facing environment where design teams, data scientists and engineers jointly prototype digital products. The studio model, which Cognizant has rolled out in several global locations, emphasises rapid experimentation, user-centric design and measurable business outcomes. In Bengaluru, the studio will place particular emphasis on AI-driven personalisation, intelligent interfaces, extended reality and data visualisation for sectors such as banking, healthcare, manufacturing and retail.

Company leadership has framed the expansion as part of a broader shift in client demand. Enterprises are no longer seeking isolated AI tools but integrated platforms that can be embedded into core operations with clear accountability. That shift has placed pressure on technology services firms to combine research capability with delivery scale and domain knowledge, areas where Bengaluru’s ecosystem offers advantages.

The move also aligns with Cognizant’s wider strategy to reposition itself as an AI-first services company. Over the past two years, the firm has increased investment in generative AI platforms, partnered with major cloud providers and integrated AI capabilities into its consulting and engineering offerings. The Bengaluru AI Lab is expected to collaborate closely with Cognizant’s global research teams and with academic institutions and startups in the region, although the company has not disclosed specific partnerships tied to the launch.

Industry analysts note that the emphasis on responsible AI is particularly significant. As enterprises deploy AI across regulated environments, scrutiny from boards, regulators and customers has intensified. Embedding governance, auditability and ethical safeguards at the design stage is increasingly seen as a differentiator rather than an optional feature. Cognizant’s decision to anchor this work in a dedicated lab suggests an attempt to institutionalise these practices across its delivery network.

The expansion also underscores the competitive dynamics among global technology services firms operating in Bengaluru. Peers have been scaling AI centres of excellence, experience studios and innovation labs in the city, seeking proximity to talent and clients while managing costs. For Cognizant, the dual-facility model aims to bridge the gap between conceptual innovation and real-world deployment, a gap that has slowed returns on AI investment for many organisations.

A wave of ambition is reshaping the technology landscape as leading entrepreneurs turn their attention to building artificial intelligence data centres in space. What began as scattered experiments in off-planet computing has matured into a competition among industry powerhouses seeking an edge in processing capacity, energy efficiency, and control over the infrastructure that will anchor next-generation AI systems. The pursuit is driven by the belief that Earth-based facilities are reaching fundamental limits, from land availability to cooling constraints, and that low-Earth orbit may provide the only environment capable of sustaining the exponential escalation in computational demand. Advocates frame this as an extension of a long-standing principle in engineering and exploration: to put human ingenuity to its fullest possible use, wherever the boundaries of science allow.

Several major technology leaders have stepped into this arena over the past two years. Their investments reflect a profound shift in strategy as companies realise that AI models cannot continue to scale using terrestrial infrastructure alone. The voracious energy requirements of large-scale training workloads challenge even the most advanced data-centre designs, pushing firms to explore solutions that draw on off-planet solar power and exploit the vacuum of space for passive cooling. Executives argue that orbiting facilities promise a cleaner energy profile, reduced environmental impact, and unprecedented independence from Earth’s physical constraints. As one aerospace investor remarked during a private industry event, the next digital revolution may be fuelled not by new algorithms but by new geography.

Engineering teams working on these orbital concepts often describe them as a convergence of satellite technology, chip innovation, and AI architecture. The logic is straightforward: satellites already operate reliably in extreme conditions with limited maintenance; AI systems increasingly require specialised compute hardware that benefits from consistent temperature conditions; and the economics of launch have changed dramatically due to reusable rockets. Once the cost of placing hardware into orbit falls to thresholds comparable to building premium facilities on Earth, the case for space-based computing strengthens considerably. What was once a speculative thought experiment has become a viable commercial target because access to space is no longer a privilege of governments alone.

However, the motivations driving this race are not solely technical. Strategic considerations weigh heavily. Ownership of orbital AI capacity promises unparalleled control over data sovereignty and computational independence. For executives wary of regulatory intervention or geopolitical risk, space offers a jurisdictional buffer that has become increasingly attractive. The ability to operate hardware outside traditional national borders gives corporations leverage at a moment when governments are tightening rules on data transfer, algorithmic transparency, and cloud-computing dependencies. Critics warn that this dynamic could set the stage for tension between public oversight and private ambition, particularly as orbital networks start to support commercial, defence, and financial applications simultaneously.

Security analysts have begun to examine the implications of off-planet AI infrastructure for global stability. On one hand, distributing critical systems across multiple orbital layers may reduce the vulnerability of communication and computing networks to terrestrial attacks or natural disasters. On the other, it introduces fresh risks, as high-value satellites could become targets in future disputes. Industry leaders tend to emphasise resilience and cooperation, arguing that shared standards and open coordination mechanisms can prevent escalation. Yet even in the early stages of development, commercial confidentiality and competitive pressure limit transparency, raising questions about how cooperative such a system can truly be.

Environmental considerations further complicate the picture. Proponents argue that orbital facilities will dramatically reduce the carbon footprint of data centres by tapping continuous solar energy and eliminating the need for extensive water-based cooling. They claim that redirecting computation to space will relieve pressure on overloaded terrestrial grids and free up land used for sprawling data-centre campuses. Environmental organisations counter that launching hundreds of tonnes of hardware into orbit will generate emissions during the construction phase and intensify concerns about space debris. Engineers involved in the projects acknowledge these issues but maintain that the long-term carbon savings outweigh the initial costs. Some firms have begun exploring closed-loop manufacturing cycles using recycled orbital material, a concept still in its infancy but increasingly part of corporate presentations.

The economic dimension of the space computing race has also attracted significant attention. Venture capital firms see orbital AI networks as a foundational platform similar in scale to the early internet, creating opportunities for startups focused on maintenance robotics, radiation-hardened chips, inter-satellite laser communication, and autonomous control systems. Government space agencies have shown interest too, recognising that private data-centre initiatives could stimulate broader commercial activity in orbit. Financial analysts caution that the capital intensity of these projects is immense and that many entrants may struggle to secure the funds required to move from prototype to full-scale deployment. But they also acknowledge that the firms leading the charge have histories of turning audacious concepts into viable industries.

One of the most compelling arguments for orbital AI centres revolves around scientific potential. Researchers emphasise that such facilities could support breakthroughs in materials engineering, climate modelling, pharmaceutical development, and astrophysics. Training models in microgravity environments may enable experiments that are impractical on Earth, and the isolation of orbital systems creates opportunities for secure high-performance computing dedicated to sensitive research. A prominent AI scientist recently noted at a conference that new frontiers in intelligence will be unlocked only when researchers have access to computational substrates as novel as the algorithms themselves, and that space may provide exactly that.

Despite enthusiasm, several fundamental questions remain unresolved. Energy transmission is one of them. While orbiting platforms can harness abundant solar power, efficiently transferring that energy to onboard compute clusters and ensuring stable operation during orbital night remains a challenge. Another issue concerns maintenance. Although robotic servicing is improving, most concepts still require periodic human intervention, raising questions about safety, reliability, and cost. Legal scholars are also wrestling with the future regulatory landscape, debating whether orbital AI nodes should be governed by space law, telecommunications frameworks, or entirely new agreements. These uncertainties highlight the complexity of forging infrastructure that defies conventional definitions.

Public perception is another area shaping the debate. The idea of billionaire-led initiatives expanding beyond Earth has drawn criticism from those who view it as a diversion of resources from urgent terrestrial needs. Advocates counter that technology has always advanced through bold exploration and that the benefits of space-based AI will eventually extend across society, from medical research to disaster forecasting. Several industry leaders have used narratives emphasising human progress and responsibility, suggesting that building orbital computing platforms represents a contribution to global knowledge rather than a retreat from Earth’s challenges.