Team UAE was felicitated in a glittering ceremony on Saturday following their historic victory at the 2025 FIRST Global Challenge held in Panama City from 28th October to 1st November 2025. The students brought home the Gold Medal, competing against teams from 193 countries marking a proud moment for the nation and reaffirming the UAE’s commitment to nurturing scientific talent and innovation among youth.

The competition, widely regarded as the Olympics of Robotics, gathered some of the world’s brightest young minds to solve global challenges through STEM (Science, Technology, Engineering, and Mathematics). Representing the UAE with distinction, the eight-member team demonstrated creativity, perseverance, and technical excellence throughout the challenge.

The team comprised Riya Mehra (Dubai College), Aarya Parekh (Delhi Private School, Sharjah), Aarush Pancholi (GEMS Modern Academy), Aditya Anand (New Millennium School, Al Khail), Krithin Satya (Dubai College), Simran Mehra (Dubai College), Sreya Binoy Nair (GEMS Modern Academy), and Aryan Goyal (DIA Emirates Hill), a diverse group of students who together spent over 300 hours in rigorous preparation for the international challenge. Their intensive training was supported by Unique World Robotics, the official training partner for Team UAE, which played a key role in guiding the students through technical, strategic, and design aspects of the competition

Coach Muhammed Mukhtar said, “This victory is a testament to the extraordinary dedication and ingenuity of our young innovators. They have made the nation proud and shown that UAE students can compete at the highest level on the global stage.”

The team’s winning project, STASH, is an innovative biopreservation system designed to protect endangered species such as the Ghaf tree without relying on freezing or electricity. Using sodium alginate hydrogels, STASH encapsulates living cells in portable, low-cost beads that maintain viability for 3–5 days, enabling safe transport even to remote areas. Integrated with AI-based cell viability analysis and supported by a 3D-printed field kit, STASH provides an eco-friendly, globally inclusive method for preserving life, one cell at a time.

The project was evaluated by a distinguished panel of experts, including professors from MIT (Massachusetts Institute of Technology), USA, and scientists from Lam Research, who recognized the innovation and global applicability of STASH.

Reflecting on the journey, Team Captain Aarush Pancholi said, “Winning Gold was the result of countless hours of collaboration, experimentation, and teamwork. We are proud not just of the medal, but of creating a solution that can truly make a difference for biodiversity and communities worldwide.”

Bansan Thomas George, National Organiser of FIRST Global Challenge UAE, praised the students’ achievement and said, “Team UAE’s victory reflects the nation’s long-standing commitment to STEM education and youth innovation. Their work on STASH demonstrates not only technical brilliance but also a vision for sustainable solutions that can benefit the world.”

Team UAE’s accomplishment stands as a symbol of the UAE’s investment in its future innovators, inspiring the next generation of scientists, engineers, and environmental pioneers.

Professor Fiona Robson,

Head of the School of Social Sciences & Edinburgh Business School

HR is no longer just about recruitment and retention – there is a growing trend towards taking a more creative and innovative approach. This can involve looking at talent through different lenses rather than seeing it as a hierarchical talent management process focusing on vertical promotions within the organization.

In an age where HR rightly have a seat at the strategic table for decision making, they have the opportunity to ensure that appropriate levels of funding and expertise are used to develop a forward-looking talent strategy that goes beyond the norm. Artificial intelligence (AI) brings a plethora of opportunities for organisations to be braver in how they identify potential talent. Using AI to identify talent can be a useful starting point but when it comes to areas such as innovation and identifying an entrepreneurial mindset, it may be more difficult to pinpoint the traits which could indicate potential to innovate.

Where HR teams start to consider and plot non-traditional pathways they may be able to recruit and retain employees with diverse skillsets. Taking an entrepreneurial path opens up the talent pool as it isn’t as focused on people looking at the next hierarchical step up within the organisation. This is important as there are usually resource constraints about how many vacancies are available to fill at the highest pay grades in the organisation. These new pathways should provide opportunities for women to shine in different types of projects and recognise the strategic importance of creative thinking and innovation.

Providing testing opportunities

Depending on the level of finance available there are some additional resources that could be provided. Innovation sprints or challenges can be a great way to test out ideas and receive feedback from different groups of stakeholders. They may facilitate prototyping and identify issues that were not previously considered. Internal technology venture labs can also provide a safe environment to test out ideas and proof of concept. Collaborating with Universities who are experienced in running labs and sprints can be very beneficial, they may also have access to funding to support the development of new products and services. However, in order to be truly successful, they need to ensure that there is a sustainable follow up process before the momentum deflates.

Inclusive Procurement and Equitable IP Policies

Organisations can seek to lead the way and exhibit good practice by reviewing their procurement policies where practicable to ensure that they are inclusive. Examples may include having provision for flexible payment terms which would make it easier for those at the beginning of their entrepreneurship journey. Access to specialist support which could help women to set up their businesses in a more timely way could also break down some of the perceived barriers. Often the processes around procurement can be rather cumbersome so the provision of training which shows exactly how to navigate it could be helpful. Forward looking organisations might seek to approve a process whereby women entrepreneurs are given priority with their applications.

For many women, even thinking about intellectual property (IP) and patents can seem overwhelming if they have never had exposure to this world before. The introduction of simplified processes could act as a springboard to attract more women, particularly if the timeline can be expedited so that there is a shorter gap between the initial idea and when it is approved. Having access to real case studies showing how this happens would also be reassuring. In large organisations, the HR team may be able to encourage the legal team to provide some initial advice so that prospective entrepreneurs get a realistic insight into whether their proposal has merit or not.

Commercial Advantage Through Policy

HR can make a name for itself by encouraging innovation through widening participation and breaking down barriers to encourage, support and recognise innovation. For some HR professionals this may be quite a shift for them so they may also require some reskilling and retraining.

It would be good practice for organisations to regularly review their HR policies to ensure that they reflect the changing eco-system and that there are appropriate diversity clauses within the library of policies, procedures and practices. As part of this, ensuring that there is awareness of bias and how this can sneak into processes unconsciously and inadvertently disadvantage women. The establishment of women’s networks would be a proactive approach and could help them at all of the different stages of developing and executing their entrepreneurial ideas.

Providing funding opportunities may be one of the most impactful decisions that an organisation can make. Obviously this would need to have transparent parameters around it but it could be the difference between an idea being turned into practice or not. If the funding allocation is governed by stakeholders with appropriate expertise in different areas i.e. finance, law, governance and people, this would reduce the organisational risk of investing in small new businesses. Where there isn’t a potential conflict of interest, organisations could also make a significant impact by facilitating market entry and opening doors within networks and supply chains.

VAST Data, the AI Operating System company, today announced an expanded partnership with Google Cloud, the first fully managed service for the VAST AI Operating System (AI OS), enabling customers to deploy the AI OS and extend a unified global namespace across hybrid environments. Powered by the VAST DataSpace, enterprises can seamlessly connect clusters running in Google Cloud and on-premises locations, eliminating complex migrations and making data instantly available wherever AI runs.

Enterprises want to run AI where it performs best, but data rarely lives in one place and migrating can take months and costs millions. Fragmented storage and siloed data pipelines make it hard to feed the AI accelerators with consistent, high-throughput access and every environment change multiplies governance and compliance burdens.

VAST and Google Cloud address this challenge by making data placement a choice rather than a constraint. In this recorded demonstration, VAST showcased the power of the VAST DataSpace to connect clusters across more than 10,000 kilometers, linking one in the United States with another in Japan. This configuration delivered seamless, near real-time access to the same data in both locations while running inference workloads with vLLM, enabling intelligent workload placement so organizations can run AI models on TPUs in the US and GPUs in Japan without duplicating data or managing separate environments.

“Together with Google Cloud, VAST is building a unified data and computing environment that extends to wherever a customer wants to compute and unleashes the potential of AI by unlocking access to all data everywhere,” said Jeff Denworth, Co-Founder at VAST Data. “Delivered as a managed AI Operating System on Google Cloud, customers can go from zero to production in minutes – we’re turning hybrid complexity into a single, intelligent fabric that provides fast access to data, regardless of where it resides to accelerate time to value for agentic AI.”

“Bringing VAST AI Operating System to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the data solution on Google Cloud’s trusted, global infrastructure,” said Nirav Mehta, Vice President, Compute Platform at Google Cloud. “VAST can now securely scale and support customers on their digital transformation journeys.”

Powering Google Cloud TPUs with seamless data access and near-local performance

Recent performance results also show how the VAST AI Operating System connects seamlessly to Google Cloud Tensor Processing Unit (TPU) virtual machines, integrating directly with Google Cloud’s platform for large-scale AI. In testing with Meta’s Llama-3.1-8B-Instruct model, the VAST AI Operating System delivered model load speeds comparable to some of the best options available in the cloud, while maintaining predictable performance during cold starts.

These results confirm that the VAST AI OS is not just a data platform but a performance engine designed to keep accelerators fully utilized and AI pipelines continuously in motion.

“The VAST AI OS is redefining what it means to move fast in AI, delivering model load speeds comparable to cloud-native alternatives while providing the full power of an advanced, enterprise-grade AI platform,” said Subramanian Kartik, Chief Scientist at VAST Data. “This is the kind of acceleration that turns idle accelerators into active intelligence, driving higher efficiency and faster time to insight for every AI workload.”

With VAST on Google Cloud, customers can benefit from:

• Deploy AI in Minutes, Not Months: Organizations can run production AI workloads on Google Cloud today against existing on-premises datasets without migration planning, transfer delays, or extended compliance cycles. Using VAST DataSpace and intelligent streaming, they can present a consistent global namespace of data across on-prem and Google Cloud instantly.
• Reduce Data-Movement Costs: Stream only the subsets that models require to avoid full replication and reduce egress – cutting footprint and redirecting budget from data movement to AI innovation with infrastructure that is future-ready for the demanding AI pipelines in genomics, structural biology, and financial services.
• Maximize Google Cloud Innovation with Flexible Data Placement: Choose what to migrate, replicate, or cache to Google Cloud while keeping one namespace and consistent governance by applying unified access controls, audit, and retention policies everywhere to simplify compliance and reduce operational risk. Leverage VAST DataStore and VAST DataBase to unify prep, training, inference, and analytics without rewiring pipelines.
• TPU-Ready Data Path: Feed TPU VMs over validated NFS paths with optimized model loading and metadata-aware I/O, delivering fast, consistent warm-start performance and predictable behavior during cold-starts.
• Build on a Unified Platform: The VAST AI Operating System delivers a DataStore, DataBase, InsightEngine, AgentEngine and DataSpace that scales across on-premises and Google Cloud environments and adapts to changing business needs without architectural rewrites, enabling data scientists to use a variety of access protocols with a single solution.