They are not finished products yet, neither their prototypes nor their journeys. As part of Samsung Solve for Tomorrow, challenges have not ceased for the Top 40 innovators. These young changemakers are still building, modifying, expanding, testing, and sometimes discarding ideas altogether. What they are discovering, however, may be as relevant and important as the innovations themselves: that design thinking is not just a toolkit but a mindset that demands empathy, patience, and an openness to failure.

Over the past week, participants were on a frenetic pursuit for perfection in ideas guided by mentors, workshops, and their first exposure to the FITT labs.

In an AI-driven world where speed and automation dominate the public discourse, these students are being reminded that the true test of technology is whether it can connect to the human heart and the human behaviour.

Sitting With the Problem

In this context, it will be pertinent to speak about the story of the Pink Brigadiers. A team comprising of Vivek Sawant from Maharashtra and Shriya Aditya Dalai from Odisha, both NIT Rourkela engineering students. What are they doing this year? They are working on what they call Bharat’s first AI-driven breast care app. At first glance, it’s a technical marvel: convolutional neural networks with edge deployment that can detect anomalies and connect women with doctors. But the breakthrough, they admit, has not been in the code.

“Our product requires immense sensitivity. The design thinking training encouraged us to sit with the problem longer, understand users more deeply, and keep adapting to their needs. UX/UI and trust are as important as the AI itself,” they explain.

For them, design thinking is a reminder that how an app makes someone feel may be as critical as what it does. Building technology for a deeply private health concern means that tone, colour palettes, language, and interface all become questions of empathy. This insight resonates with recent Stanford research showing that building fair and trustworthy AI systems requires attention not only to algorithms but also to transparency, edge-case behaviour, and user comfort.

Humanising AI

Elsewhere, inside the FITT lab there is a duo trying to grasp the lesson on AI from their product – How can AI provide intelligence, and how can design thinking make it intelligible.

Take Mindsnap, a personalised education platform created by Devayanee Gupta and Sayan Adhikary from Kolkata, both engineering students. Powered by large language models (LLMs), the platform adapts to neurodiverse learners, whether they are dyslexic, on the spectrum, or simply learn better through games.

“We realised no algorithm works if the interface doesn’t speak to the learner,” they explain. “Design thinking made us focus on UX/UI, accessibility, and the lived experience of students.”

Aditya Verma from Chennai is making a similar discovery with Mama Saheli AI, a holistic pregnancy app inspired by his mother’s experience in remote areas where medical access was limited.

“My app had to feel like a friend, not just a tool. Design thinking pushed me to see it through the user’s emotions, behaviour, and even cultural context. That’s what makes it scalable and trustworthy,” he says.

His app synthesises information, filters out misinformation, and integrates with wearables to provide hyperpersonalized insights, but its soul lies in the idea of companionship. His approach aligns with the PADTHAI-MM framework, which shows that transparent, human-centred design, combining explainability with user context, produces far more trust than opaque “black box” AI.

Design as a Strategy for Scale

The Prithvirakshak team from Ludhiana: 12th graders Abhishek Dhanda, Prabhkirat Singh, and Rachita Chandok are fighting India’s colossal waste management problem with what they call the nation’s first modular automated vermicomposting centre.

The idea began as a classroom experiment, it has now become a three-year journey of prototyping, testing, and learning how to collapse a 90-day composting process into just 30 days.

“Traditionally, vermicomposting has been labour-intensive and hard to scale,” they explain. “Design thinking helped us imagine modular models that can work in a garden, a housing society, or even at city level.”

For them, scalability is not about size but about adaptability, the ability to shape the same core idea to serve farmers, urban families, or municipalities.

The Journey, Not the Destination

None of these teams know if they will eventually win the Solve for Tomorrow challenge. Their prototypes remain imperfect; their pitch decks are still being rewritten. Yet what binds them together is a recognition that design thinking has already amended their approach.

While global conversations around AI often spiral into questions of ethics, bias, and speed, these young problem-solvers are grounding their innovations in something older and steadier: human-centred design.

AI, they are discovering, may be the brain. But design thinking, in all its humility and discipline, is the heart. And as these students continue to fight for their place in the Top 20, that may turn out to be the most important lesson of all.

09/16/2025 – 07:30 AM

Formerly at Denvr Dataworks Corp., OnX, and EMC/Dell, Krack Brings Deep Expertise in Platform Expansion, Revenue Generation, and Large-scale Infrastructure Solutions

VANCOUVER, BRITISH COLUMBIA / ACCESS Newswire / September 16, 2025 / Alset AI Ventures Inc. (TSXV:GPUS)(OTC PINK:GPUSF)(FSE:1R60)(WKN:A3ESVQ) (“Alset AI” or the “Company”) an artificial intelligence (“AI“) venture company advancing innovation through strategic investment and cloud computing solutions is pleased to announce the appointment of Kurtis Krack as President of its flagship cloud compute business, Lyken.AI (“Lyken”),as of September 15, 2025. Krack, a seasoned technology executive with over 20 years of sector experience, joins Lyken to lead the company’s platform-as-a-service (“PaaS”) expansion, infrastructure scaling, and commercial growth strategy.

Krack’s background includes leadership roles at Denvr Dataworks, OnX Enterprise Solutions, and EMC, where he built and scaled enterprise IT infrastructure platforms, drove cloud adoption across Fortune 500 clients.

At Lyken.AI, Krack will be helping develop the company’s go-to-market roadmap, scaling the infrastructure footprint across Canada and North America, and deepening partner integrations across the AI compute ecosystem.

Adam Ingrao, Chief Executive Officer of Alset AI, commented: “Kurtis brings the perfect blend of enterprise experience and growth leadership to Lyken at a time when the market demands execution, speed, and scale. His proven track record of driving platform transformation and managing complex technology rollouts makes him the right leader to take Lyken into its next phase of growth. We’re excited to have him on board.”

Krack stated: “Joining Lyken.AI is an extraordinary opportunity to help buildout the critical infrastructure that underpins the future of artificial intelligence. The demand for scalable compute continues to grow and I look forward to working with the Lyken team to expand our platform. I look forward to working with the team to expand our platform, deepen our partner ecosystem, and accelerate revenue growth as we scale into the next phase.”

Mr. Krack’s appointment to Lyken is subject to the approval of the TSX Venture Exchange.

About Alset AI Ventures Inc.

Alset AI is a pioneering AI and cloud computing investment firm, committed to nurturing high- potential technology companies. Through a combination of capital, strategic advisory, and cloud computing alliances, Alset AI is shaping the future of artificial intelligence and building an AI-focused venture capital platform poised for substantial growth.

For further information about Alset AI Ventures Inc., please contact:

Investor Relations
Adam Ingrao
Chief Executive Officer
T: 236.312.6744
E: ir@alsetai.com

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Cautionary Note regarding Forward Looking Statements

This press release may contain certain forward-looking statements and forward-looking information (collectively, “forward-looking statements“) regarding the Company and Lyken, including statements about Mr. Krack’s anticipated role in developing Lyken’s go-to-market roadmap, scaling infrastructure across North America, deepening partner integrations within the AI compute ecosystems, and advancing Lyken’s next phase of growth. Forward-looking statements may also relate to Mr. Kracks’s plans to build AI critical infrastructure, collaborate with others to expand the Lyken platform, support revenue growth and scaling initiatives, and the Company’s ability to shape the future of artificial intelligence. Forward-looking statements normally contain words like “will”, “intend”, “anticipate”, “could”, “should”, “may”, “might”, “expect”, “estimate”, “forecast”, “plan”, “potential”, “project”, “assume”, “contemplate”, “believe”, “shall”, “scheduled”, and similar terms. These statements are only predictions. Various assumptions were used in drawing the conclusions or making the projections contained in the forward-looking statements throughout this press release.Forward-looking statements are not guarantees of future performance, actions, or developments and are based on expectations, assumptions, and other factors that management currently believes are relevant, reasonable, and appropriate in the circumstances. Although management believes that the forward-looking statements herein are reasonable, actual results could be substantially different due to the risks and uncertainties associated with and inherent to Alset AI’s business. Additional material risks and uncertainties applicable to the forward-looking statements herein include, without limitation, the impact of general economic conditions, and unforeseen events and developments. This list is not exhaustive of the factors that may affect the Company’s forward-looking statements. Many of these factors are beyond the control of Alset AI. All forward-looking statements included in this press release are expressly qualified in their entirety by these cautionary statements. The forward-looking statements contained in this press release are made as at the date hereof, and Alset AI undertakes no obligation to update publicly or to revise any of the included forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required by applicable securities laws. Risks and uncertainties about the Company’s business are more fully discussed under the heading “Risks and Uncertainties” in its most recent Management’s Discussion and Analysis and other disclosure documents available on SEDAR+ at www.sedarplus.ca.

SOURCE: Alset AI Ventures Inc.

View the original press release on ACCESS Newswire

This underscores a shift in strategy from reactive to proactive defense. Rather than waiting for attacks to occur and then scrambling to respond, Agentic AI can potentially identify vulnerabilities, predict attack patterns and implement countermeasures before threats can be exploited.

The speed advantage becomes increasingly important in cases like distributed denial-of-service (DDoS) attacks, an attempt to disrupt normal traffic of a server, service or network by overwhelming the target or its surrounding infrastructure with a flood of Internet traffic. When nation-state actors launch DDoS attacks to bring down networks, an agentic AI deployed at the network perimeter can potentially identify attack patterns, analyze traffic anomalies and modify firewall rules autonomously, thereby eliminating the response delays that typically allow attacks to succeed.

Strategic implementation: Building your agent defense network

Successfully deploying Agentic AI moves beyond a traditional “one-size-fits-all” approach. Instead, organizations should build teams of specialized agents, each designed with its own function that work within coordinated defense networks. This could be like the following: