FUJIFILM Middle East and Africa recently announced the inauguration of its new offices at Expo City Dubai, – an innovation-driven, people-centric community designed as a blueprint for sustainable urban living and the new centre of Dubai’s future. The site will also host the FUJIFILM Technology Center (FTC) to support the training of employees, business partners, and end-users in the Middle East, Africa, Europe, and Asia.

FUJIFILM brings world-renowned expertise and innovations to some of the region’s vital sectors. As a global leader in healthcare, imaging and printing technologies, the firm supplies cutting-edge solutions in the UAE such as innovative diagnostic imaging systems helping raise the standard of care in the country and contributing to its development goals. The company is also preparing to launch AI-driven screening centers (NURA) in the region, reflecting its commitment to early detection and better health outcomes.

Over the past five years, FUJIFILM has more than doubled its number of staff across its offices in the UAE, Saudi Arabia, Qatar, Egypt, Morocco, and South Africa. The establishment of its new offices in the UAE is part of the company’s future-facing mindset, as well as efforts to increase proximity to end-consumers and key partners. The company also recorded impressive annual performance in 2024 and is looking to repeat the feat this year with an expected double-digit growth.

H.E. Ken Okaniwa, Ambassador of Japan to the UAE, said: “We welcome the inauguration of FUJIFILM’s new offices and Technology Center in Expo City Dubai. This new investment by Japan’s top company in healthcare, imaging and printing reflects the excellent relations between Japan and the UAE as well as the strategic position of the UAE as a global hub for business. I look forward to FUJIFILM’s technologies contributing to better healthcare, promotion of industries and human capacity development.”

Manal AlBayat, Chief Engagement Officer, Expo City Dubai, said: “With its technologies used in vital sectors and its commitment to knowledge-sharing, FUJIFILM’s choice of Expo City Dubai for its new offices and Technology Center reinforces the city’s position as a hub for global businesses driving innovative solutions in the UAE and beyond. We are proud to welcome FUJIFILM to our innovation- and sustainability-focused community – an ecosystem where like-minded entities collaborate to drive meaningful progress.”

The FUJIFILM Technology Center (FTC) is equipped with a comprehensive range of FUJIFILM solutions for live demonstrations, allowing visitors to try and test multiple products and services.

Underscoring the global importance of the center for the company, Masataka Akiyama, President and CEO of FUJIFILM Europe, also stated: “Our investment in the new offices  and FUJIFILM Technology Center is a powerful enabler for product showcases, including a full-fledged center with hands-on training and lectures delivered by professionals in the UAE, Egypt, and Morocco. We are now also inviting imaging and printing experts to our new Dubai office space to facilitate the exchange of ideas and support the delivery of unrivaled solutions to our customers. The FUJIFILM Technology Center will be invaluable asset in the efforts to leverage our rich heritage of innovation and continue to serve as a benchmark for progress in the region.”

Michio Kondo, Managing Director of FUJIFILM Middle East and Africa, commented: “With the opening of our new offices at Dubai Expo City, FUJIFILM is starting the next exciting chapter of our success story in the Middle East. As we look to deepen our contribution to the region’s prosperity and the wellbeing of its people by providing value through innovation and purpose-driven growth, our new space will be a focal point for co-creation, training, new partnerships, and the development of high-tech solutions to help enhance lives and economies.”

At the end of last year, FUJIFILM signed six Memorandums of Understanding (MoUs) with prominent healthcare and medical institutions in Saudi Arabia. These partnerships aim to enhance healthcare solutions by promoting digitalization, improving efficiency, and delivering better patient outcomes, underscoring FUJIFILM’s enduring collaboration with regional and Saudi organizations. FUJIFILM Middle East and Africa will also extend its commitment to the development of the region’s talent, with plans to introduce new hires to support FTC operations and cement the company’s leading role in knowledge sharing.

By Isil Berkan, Marketing Director, Middle East, Africa & Turkey at Pearson

Artificial intelligence is no longer a distant promise: it’s already reshaping how we live, work, and learn. In the classroom, AI-powered tools are adapting lessons in real-time to each student’s strengths, gaps, and pace. That means less time marking, and more time for teachers to connect, coach, and inspire.

In the Middle East, governments are actively reforming education to build a digital-ready workforce. AI offers a unique opportunity to close skill gaps, increase engagement, and prepare youth not only for today’s jobs but for those yet to come. With thoughtful implementation and the right safeguards, AI-powered learning is reshaping education at an unprecedented scale and speed.

The current state of AI in Middle Eastern education

Across the region, governments are investing significantly in digital transformation in education. In the UAE, AI learning begins from kindergarten, part of its ambition to become a global leader in AI. The country now ranks third globally for attracting AI talent, according to Stanford’s 2024 AI Index report.

Saudi Arabia’s Vision 2030 includes a bold national strategy for data and AI, aiming to position the Kingdom among the world’s top AI-powered economies. Initiatives like “One Million Saudis in AI” and “Artificial Intelligence Hour” are already equipping hundreds of thousands of students with essential skills. Public-private partnerships are accelerating progress, especially in STEM and bilingual education.

Why AI-powered personalized learning is needed

Many traditional classrooms are constrained by fixed curricula and standardized teaching methods. This can make it difficult to meet the needs of individual students. AI can help close the gap—giving every student tailored support based on how they learn best. It doesn’t replace teachers; it gives them better tools to adapt, support, and engage.

The AI in education market is expected to grow to over $20 billion by 2027. Pearson’s own research found that 76% of teachers spend at least an hour a week planning lessons in their own time. This provided inspiration for innovations like our Smart Lesson Generator, which reduces admin and delivers curriculum-aligned content at the right level, in seconds.

Generative AI can identify at-risk learners early, recommend specific interventions, and dynamically adapt materials for better comprehension and retention. These tools tailor content to each learner’s unique needs by offering personalized explanations, summaries, and practice questions.

How it can be implemented and the benefits

AI needs more than access to devices; it works best when integrated into pedagogy. Tools like Mondly by Pearson let learners practise speaking and listening in realistic, role-based scenarios, powered by speech recognition and adaptive feedback.

This kind of real-time assessment is especially valuable for workforce preparation, where language skills, particularly English, directly influence employability. In Saudi Arabia, Pearson’s research shows a 40% gap in English skills across industries, something AI can help address at scale.

Challenges and considerations

In a world where 60% of educators are already implementing AI in the classroom, concerns around data privacy, digital literacy, and equitable access cannot be ignored.

Many schools still lack the infrastructure or teacher training needed to roll out AI programs effectively, with 61% of teachers indicating they would feel more confident using AI if they were properly trained. However, these challenges present opportunities for regional collaboration and innovation. Ethical frameworks, clear data policies, and inclusive curriculum design can mitigate risks.

AI-powered tools that are built on proprietary standards like the Global Scale of English can ensure precision and alignment with real-world learning outcomes. Rather than replacing educators, AI should be positioned as a tool that empowers them, providing real-time assistance during lessons, answering questions, and offering extra resources.

Government initiatives and national strategies

The UAE’s AI Strategy 2031 and Saudi Arabia’s Vision 2030 show a clear commitment to integrating AI across all levels of education. Programs like the King Abdullah Scholarship Program (KASP) are sending students abroad to study advanced technologies, while EdTech partnerships are multiplying across the region.

By 2030, AI is expected to contribute over $96 billion to the UAE’s economy and $135 billion to Saudi Arabia’s. To realise this, education must lead the way.

The road ahead

To make the most of AI in education, we need more than devices and dashboards. We need collaboration.

Educators need hands-on training. Policymakers need to create regulations that promote safe, equitable use of AI. And technology providers must build tools with—not just for—teachers and learners. That includes embedding AI into curricula and teaching the next generation how to use it responsibly.

The Middle East has momentum on its side. If governments, educators, and tech companies act together, the region can set a global example, building an education system that’s more personalised, more agile, and fit for the future.

IBM unveiled its path to build the world’s first large-scale, fault-tolerant quantum computer, setting the stage for practical and scalable quantum computing.  

Delivered by 2029, IBM Quantum Starling will be built in a new IBM Quantum Data Center in Poughkeepsie, New York and is expected to perform 20,000 times more operations than today’s quantum computers. To represent the computational state of an IBM Starling would require the memory of more than a quindecillion (10^{^48}) of the world’s most powerful supercomputers. With Starling, users will be able to fully explore the complexity of its quantum states, which are beyond the limited properties able to be accessed by current quantum computers.  

IBM, which already operates a large, global fleet of quantum computers, is releasing a new Quantum Roadmap that outlines its  plans to build out a practical, fault-tolerant quantum computer.

“IBM is charting the next frontier in quantum computing,” said Arvind Krishna, Chairman and CEO, IBM. “Our expertise across mathematics, physics, and engineering is paving the way for a large-scale, fault-tolerant quantum computer — one that will solve real-world challenges and unlock immense possibilities for business.”

A large-scale, fault-tolerant quantum computer with hundreds or thousands of logical qubits could run hundreds of millions to billions of operations, which could accelerate time and cost efficiencies in fields such as drug development, materials discovery, chemistry, and optimization.

Starling will be able to access the computational power required for these problems by running 100 million quantum operations using 200 logical qubits. It will be the foundation for IBM Quantum Blue Jay, which will be capable of executing 1 billion quantum operations over 2,000 logical qubits.  

A logical qubit is a unit of an error-corrected quantum computer tasked with storing one qubit’s worth of quantum information. It is made from multiple physical qubits working together to store this information and monitor each other for errors.

Like classical computers, quantum computers need to be error corrected to run large workloads without faults. To do so, clusters of physical qubits are used to create a smaller number of logical qubits with lower error rates than the underlying physical qubits. Logical qubit error rates are suppressed exponentially with the size of the cluster, enabling them to run greater numbers of operations.

Creating increasing numbers of logical qubits capable of executing quantum circuits, with as few physical qubits as possible, is critical to quantum computing at scale. Until today, a clear path to building such a fault-tolerant system without unrealistic engineering overhead has not been published.

The Path to Large-Scale Fault Tolerance

The success of executing an efficient fault-tolerant architecture is dependent on the choice of its error-correcting code, and how the system is designed and built to enable this code to scale.

Alternative and previous gold-standard, error-correcting codes present fundamental engineering challenges. To scale, they would require an unfeasible number of physical qubits to create enough logical qubits to perform complex operations – necessitating impractical amounts of infrastructure and control electronics. This renders them unlikely to be able to be implemented beyond small-scale experiments and devices.

A practical, large-scale, fault-tolerant quantum computer requires an architecture that is:

• Fault-tolerant to suppress enough errors for useful algorithms to succeed.
• Able to prepare and measure logical qubits through computation.
• Capable of applying universal instructions to these logical qubits.
• Able to decode measurements from logical qubits in real-time and can alter subsequent instructions.
• Modular to scale to hundreds or thousands of logical qubits to run more complex algorithms.
• Efficient enough to execute meaningful algorithms with realistic physical resources, such as energy and infrastructure.

Today, IBM is introducing two new technical papers that detail how it will solve the above criteria to build a large-scale, fault-tolerant architecture.

The first paper unveils how such a system will process instructions and run operations effectively with qLDPC codes. This work builds on a groundbreaking approach to error correction featured on the cover of Nature that introduced quantum low-density parity check (qLDPC) codes. This code drastically reduces the number of physical qubits needed for error correction and cuts required overhead by approximately 90 percent, compared to other leading codes. Additionally, it lays out the resources required to reliably run large-scale quantum programs to prove the efficiency of such an architecture over others.  

The second paper describes how to efficiently decode the information from the physical qubits and charts a path to identify and correct errors in real-time with conventional computing resources.

From Roadmap to Reality

The new IBM Quantum Roadmap outlines the key technology milestones that will demonstrate and execute the criteria for fault tolerance. Each new processor in the roadmap addresses specific challenges to build quantum systems that are modular, scalable, and error-corrected:

• IBM Quantum Loon, expected in 2025, is designed to test architecture components for the qLDPC code, including “C-couplers” that connect qubits over longer distances within the same chip.
• IBM Quantum Kookaburra, expected in 2026, will be IBM’s first modular processor designed to store and process encoded information. It will combine quantum memory with logic operations — the basic building block for scaling fault-tolerant systems beyond a single chip.
• IBM Quantum Cockatoo, expected in 2027, will entangle two Kookaburra modules using “L-couplers.” This architecture will link quantum chips together like nodes in a larger system, avoiding the need to build impractically large chips.

Together, these advancements are being designed to culminate in Starling in 2029.