Tech News
Quantum AI Synergy: Unlocking Next-Gen Machine Learning
By Dr. Muhammad Khan, Founder & CEO, Staque
The convergence of quantum computing and artificial intelligence is setting the stage for unprecedented transformations, equipping industries with the capability to address complex, large-scale problems previously beyond reach. Quantum computing, with its capacity to perform intricate computations at unprecedented speeds, is enhancing machine learning’s potential to process and interpret massive datasets and optimize complex models. This powerful synergy has implications across various sectors, from healthcare and finance to logistics, promising a new era of decision-making and innovation.
Quantum Computing as a Catalyst for Machine Learning Advancements
Quantum computing harnesses quantum mechanics to process information in ways that traditional computers cannot. Unlike classical bits, quantum bits (or qubits) can exist in multiple states simultaneously, enabling quantum systems to handle vast amounts of information in parallel. This capability is especially transformative for machine learning, where optimizing algorithms and managing large datasets are crucial. Quantum technology allows for deeper and more efficient analysis of complex data, making it possible to solve intricate challenges with precision and speed.
In particular, quantum computing offers revolutionary improvements in feature selection, a fundamental process in machine learning that identifies the most relevant variables in a dataset to build accurate and efficient models. For traditional computing methods, selecting features within high-dimensional data often becomes computationally expensive and risks model overfitting. However, quantum algorithms like quantum annealing and the Quantum Approximate Optimization Algorithm (QAOA) are adept at solving combinatorial optimization problems, enabling them to evaluate numerous feature combinations simultaneously and identify optimal subsets more effectively. With quantum-augmented feature selection, the development of robust, scalable machine learning models is accelerated, reducing computational costs and enhancing model accuracy.
Enabling Breakthroughs in Healthcare and Material Science
Sectors like drug discovery and material synthesis stand to benefit immensely from the accelerated data processing capabilities quantum computing offers. In drug development, for example, quantum systems simulate molecular structures and predict interactions with unparalleled accuracy, providing insights essential for designing effective, targeted medications. Quantum algorithms further enhance these capabilities by identifying optimal reaction pathways, streamlining the development process, and cutting down on experimental costs in both drug discovery and materials science.
These advancements extend to other applied sciences, allowing researchers to predict molecular behaviors and optimize chemical reactions in ways previously impossible. As quantum computing becomes more accessible, industries across healthcare and production are better equipped to develop safe and sustainable products faster and more efficiently than before. This level of precision could redefine research and development standards across industries, driving forward innovation at an accelerated pace.
Quantum-Enhanced Neural Networks and Their Potential
The impact of quantum computing extends to the neural networks underpinning many machine learning applications. Restricted Boltzmann Machines (RBMs), which are commonly used in generative models and for dimensionality reduction, are already integral to large-scale models that power everything from language processing to autonomous decision-making. When quantum computing is incorporated, as seen in Quantum Restricted Boltzmann Machines (QRBMs), the training process becomes more efficient and the neural networks’ ability to recognize complex patterns is amplified.
Through a process known as quantum parallelism, QRBMs are able to explore multiple states simultaneously, achieving faster convergence and higher efficiency in training. This improvement significantly enhances machine learning’s performance in areas like image recognition, language interpretation, and sophisticated decision-making. As a result, QRBMs not only streamline traditional neural networks but also create new opportunities for applications requiring high-level pattern recognition and data processing. With QRBMs, quantum technology continues to push the limits of what advanced machine learning systems can achieve.
The Emergence of Que: A Benchmark in Quantum-Driven Applications
Staque’s development of Que exemplifies how integrating quantum power with machine learning techniques can set new standards in innovation. By employing quantum-enhanced feature selection, the platform optimizes data models for better accuracy and efficiency, demonstrating how quantum algorithms can refine the processes central to intelligent systems. Additionally, Que’s incorporation of QRBMs boosts decision-making capabilities, a feature especially valuable in fields like healthcare and finance, where precision is paramount.
Que is designed with adaptability in mind, tailored to support applications across diverse sectors. In healthcare, it can aid clinicians by analyzing vast datasets to provide diagnostic insights and treatment recommendations with exceptional accuracy. In finance, it enables enhanced predictive modeling for market analysis, risk assessment, and portfolio optimization, processing complex financial data at quantum-level speed and precision. And in logistics, the platform improves supply chain management, streamlining routing, inventory control, and demand forecasting. These applications showcase the versatility of Que and its potential to influence efficiency and productivity across a range of industries.
Positioning the Middle East as a Quantum-Driven Innovation Hub
As quantum-powered solutions advance, regions investing in these technologies are positioning themselves as leaders in global innovation. Staque’s initiatives, including Que, aim to establish the Middle East as a burgeoning center for quantum technology and data-driven applications. Building local expertise and infrastructure helps foster an environment conducive to the adoption of these advanced technologies, putting the Middle East at the forefront of the global shift toward quantum-augmented machine learning.
The integration of quantum systems with intelligent processing frameworks signifies a paradigm shift, offering solutions that promise unprecedented precision and efficiency. The fusion of quantum mechanics with machine learning presents possibilities that redefine current limitations, potentially transforming the way industries address and solve intricate challenges. By leading in the quantum-machine learning domain, regions like the Middle East are not only shaping their future but also contributing to a global landscape that increasingly values technological advancement and complex problem-solving.
Tech News
POLYNOME AI ACADEMY AND ABU DHABI SCHOOL OF MANAGEMENT EXPAND CAIO PROGRAM, TAP GLOBAL TECH LEADERS

Polynome AI Academy and ADSM have unveiled the expanded global list of instructors for the second cohort of their Executive Program for Chief AI Officer (CAIO), featuring leaders from NVIDIA, Mubadala, BCG, G42, AI71, and leading research institutions.
The intensive program, running April 10–21, in Abu Dhabi, was created in response to a growing need among governments and large enterprises for structured AI leadership. It aims to equip Chief AI Officers and senior executives with the governance frameworks, operating models, and decision-making structures required to lead AI at both organizational and national scale.
“The first cohort confirmed what we’ve long believed: the CAIO role requires a dedicated program built for the realities of leading AI at scale,” said Alexander Khanin, Founder of Polynome Group. “Executives came to Abu Dhabi and left with actionable strategies they are already putting into practice. The tools are ready, and by 2027, AI is expected to guide half of all business decisions. The focus now is on equipping organizations with the framework to confidently execute AI-driven decisions. Cohort 2 builds on this momentum with a refined curriculum and fresh global perspectives.”
“The first cohort demonstrated the demand we anticipated; top executives across the region recognize that AI strategy cannot simply be delegated,” commented Dr. Tayeb Kamali, Chairman of Abu Dhabi School of Management. “The program continues to evolve, providing an immersive experience that equips leaders with the skills and insights to navigate AI adoption successfully and translate technological potential into real business impact.”
Inaugural Cohort: Impact & Insights
The first Executive Program for Chief AI Officer, held in November 2025 at Abu Dhabi School of Management, enrolled 35 C-suite executives and senior technology leaders. Participants completed 10 modules covering AI strategy, sovereign AI infrastructure, governance frameworks, agentic systems, Arabic NLP, AI investment strategy, and enterprise deployment methodology — combined with site visits to the UAE Cybersecurity Council, Core42’s Khazna Data Centers, and ADNOC, as well as executive roundtables with policymakers.
“The Executive Chief AI Program is unlike any course I’ve attended,” said Dr. Noura AlDhaheri, Chairman, DNA Investments. “It brings us directly to the AI creators, experts, and leaders, giving insight into the real challenges and the evolving landscape of AI. One of the most important lessons is that this field is constantly changing, so we must continually reinforce our knowledge and update our teams. AI is set to transform the way we do business; it’s a truly historic moment, and staying ahead is essential.”
The Global AI Experts Driving Cohort 02
The confirmed instructors list for Cohort 02 brings together leading voices from across the global AI ecosystem, spanning sovereign investment, national-scale AI architecture, enterprise strategy, and frontier research. Among confirmed instructors are Dr. George Tilesch, Founder & President of PHI Institute for Augmented Intelligence; Dr. Andrew Jackson, Group Chief AI Officer at G42; Prof. Merouane Debbah, Professor & 6G Lab Director at Khalifa University; Prof. Nizar Habash, Professor at New York University Abu Dhabi; Dr. John Ashley, Chief Architect at AI Nations and Director of NVIDIA AI Technology Centers; Charbel Aoun, Smart City & Spaces Director – EMEA at NVIDIA; Jean-Christophe Bernardini, Partner & Managing Director at Boston Consulting Group (BCG); Faris Al Mazrui, Head of Technology at Mubadala Investment Company; Chiara Marcati, Chief AI Advisory and Business Officer at AI71; Jorge Colotto, Founder and CEO of AIdeology.ai. Additional instructors will be announced in the coming weeks; and Marco Tempest, Director of Innovation Hub at ETH Zürich.
Program Structure
The Executive Program for Chief AI Officer is a 10-day intensive comprising 10 modules, executive seminars, case labs, operating model workshops, site visits to UAE AI institutions, including Core42’s Khazna data center, policymaker roundtables, and lifetime access to the CAIO alumni network. The program is designed for CAIOs, CTOs, CIOs, CISOs, public sector advisors, and senior digital transformation executives.
Tech News
NEMETSCHEK AND PRINCE SULTAN UNIVERSITY PARTNER TO EMPOWER THE NEXT GENERATION OF DIGITAL AEC TALENT IN SAUDI ARABIA
Strategic partnership aligns with the goals of Saudi Vision 2030 to advance skills development, innovation and entrepreneurship across the AEC and Media & Entertainment sectors Nemetschek Arabia, part of the Nemetschek Group, one of the world’s leading software providers for the Architecture, Engineering, Construction and Operations (AEC/O) industry, has entered into a strategic partnership with Prince Sultan University (PSU), one of Saudi Arabia’s leading private higher education institutions, to support the development of future-ready talent and accelerate innovation across the Kingdom.
The partnership reflects a shared commitment to advancing education, technology innovation, entrepreneurship and workforce development across the Architecture, Engineering, Construction, as well as Media and Entertainment sectors. Through this collaboration, Nemetschek Group and PSU will explore joint initiatives designed to strengthen skills development, expand academic-industry engagement and prepare students for the evolving demands of a digitally enabled economy.
Both parties will work together to implement programming that supports skills development, entrepreneurship and technology adoption, including the potential establishment of a joint accelerator program. The collaboration will also focus on creating opportunities for workshops, capacity-building initiatives, applied learning programs and joint outreach activities, while increasing awareness of each institution’s academic offerings and international programs.
A key pillar of the partnership is the integration of Nemetschek Group’s Global Academic Program, which empowers the next generation of AEC/O leaders by providing students with access to the same cutting-edge digital tools used by industry professionals. The program is designed to bridge the gap between the classroom and the field, fostering entrepreneurial thinking, scientific rigor and a strong sense of societal responsibility. It ensures that graduates entering the workforce are equipped to make an immediate and meaningful impact.
Yves Padrines, Chief Executive Officer of the Nemetschek Group, noted that empowering the next generation of talent is central to Nemetschek’s long-term vision and to the future of the built environment. “Saudi Arabia’s Vision 2030 places people, knowledge and innovation at the heart of national transformation, and this partnership with Prince Sultan University reflects our commitment to contributing to that ambition. By working closely with leading academic institutions, we are helping to develop the digital skills, entrepreneurial mindset and technical excellence required to shape a more sustainable and resilient future.”
Muayad Simbawa, Managing Director of Nemetschek Arabia, added: “This partnership represents an important step in strengthening the connection between academia and industry in the Kingdom. By bringing Nemetschek’s global expertise and academic programs to Prince Sultan University, we are supporting students with practical, industry-relevant skills while nurturing innovation and leadership. It is through partnerships like this that we can help build a highly skilled, future-ready workforce aligned with Saudi Arabia’s Vision 2030.”
Speaking on the impact of the partnership on student and their future careers, Dr. Abdulhakim Almajid, Dean of the College of Engineering at Prince Sultan University, explained: “Prince Sultan University is dedicated to providing our students with a world-class education that meets the highest international standards. Partnering with the Nemetschek Group allows us to further enhance our curriculum with industry-leading technology, as well as expose our students to real-world industry practices. This collaboration will provide our students with a competitive edge, fostering innovation and preparing them to contribute significantly to the Kingdom’s flourishing engineering and media sectors.”
The partnership underscores Nemetschek Group’s continued investment in talent development across the Middle East and its commitment to supporting national priorities through education, innovation and long-term ecosystem building.
Tech News
PNY STRENGTHENS ITS TEAMS IN THE MIDDLE EAST AND SAUDI ARABIATO SUPPORT STRATEGIC GROWTH


PNY today announces the reinforcement of its commercial and marketing teams across the Middle East, with a particular focus on Saudi Arabia, a key strategic market for the expansion of its professional and consumer solutions businesses.
These recruitments are designed to support the acceleration of PNY’s expanding business around AI Factory initiatives and large-scale datacenter deployments. By strengthening its capabilities across computing, networking, storage, the full software stack, and the integration of NVIDIA and Vertiv solutions, PNY is positioning itself to deliver scalable, reliable end-to-end infrastructures that meet the evolving needs of enterprises as well as public and governmental organizations investing in AI and high-performance computing.
To support this growth strategy, PNY announces several key appointments:
Hashem Abughazaleh joins PNY to lead Professional Solutions Sales.
A seasoned Business Development and Enterprise Sales leader, Hashem brings over 15 years of experience across the Middle East and GCC. He has led high-level partnerships, defined enterprise sales strategies, and managed full solution lifecycles—from partner onboarding and technical customization to delivery.
Abdullah Algahyadh is appointed to drive the expansion of PNY’s presence in Saudi Arabia.
Born and raised in Riyadh, Abdullah holds a Bachelor’s degree in Business Information Systems and a Master’s degree in Entrepreneurship and Innovation Management from Middlesex University. His professional background includes business development, account management, and IT consulting. Abdullah brings strong local market knowledge and will play a key role in strengthening PNY’s footprint in the Kingdom.
Mohammed Hamdouche will lead the development of local marketing activities.
His background sits at the intersection of business, marketing, and technology, shaped by experience in large, tech-driven organizations across MENA markets. He brings expertise in digital marketing, with a strong interest in AI-driven technologies. Mohammed will actively support the growth of consumer solutions (a complete ecosystem of NVIDIA® GeForce® graphics cards, SSD components, and memory modules), storage ranges (USB flash drives and memory cards), as well as professional solutions.
“With these strategic hires, PNY is reinforcing its commitment to the Middle East and Saudi Arabia. We are strengthening our proximity to partners and customers, while helping them embrace innovative technologies to meet the region’s growing needs in digital transformation, AI, and high-performance computing.” – Jérôme Bélan, CEO at PNY Technologies EMEA
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