Tristan Nguyen@tristan_nguyen359

Key elements of an AMOCA Insurance Agent collection on Solana would likely include: Autonomous Insurance Agents: Smart AI agents operating with autonomy powered by AI and model context protocols to handle underwriting, claims, fraud detection, and customer service workflows without human intervention. Smart Contract Automation: Utilizing Solana smart contracts to manage insurance policies lifecycle — from premium payments to automated claims payouts triggered by predefined conditions. Decentralized Risk Pooling: Empowering peer-to-peer risk sharing where users pool resources and share risks transparently on-chain.

AMOCA build with IBM Granite Large Language Model is a transformative tool for clinical decision support, offering real-time, data-driven insights that enhance healthcare delivery. By leveraging its capabilities in natural language processing, large-scale data analysis, and system integration, Granite addresses critical challenges in modern healthcare. Key takeaways: CDS is essential for improving care quality, reducing errors, and optimizing outcomes. The Granite model’s features—such as real-time insights and seamless integration—make it ideal for healthcare applications. Benefits include improved patient outcomes, reduced costs, and increased efficiency. As healthcare continues to evolve, the IBM Granite LLM has the potential to revolutionize clinical decision-making, making care more personalized, efficient, and effective. Its impact on healthcare delivery is poised to be profound, paving the way for a future where technology and medicine work hand in hand to improve lives.

Clinical Applications and Implementation In the context of pediatric applications, DeepSeek-R1 has shown promising results: The model employs advanced reasoning capabilities for clinical decision support. It works alongside other systems like Deepseek, which uses "chain-of-thought reasoning" (CoT) for structured problem-solving. The integration aims to enhance clinical decision-making processes through sophisticated analysis of medical data. Challenges and Considerations Several important considerations must be addressed in implementing AI-driven clinical decision support: The reasoning behind AI recommendations often remains opaque, raising concerns about appropriate clinical use.

Project Overview: The Telecom Infrastructure Demand Analytics Platform is an innovative, AI-powered solution designed to transform how telecom providers optimize their network infrastructure investments. By combining geospatial data, machine learning, and predictive modeling, the platform enables precise targeting of high-demand urban zones with a special focus on education and healthcare sectors. This data-driven approach ensures that resources are directed toward areas with the highest growth potential, maximizing return on investment (ROI) and bridging the digital divide in underserved regions. Key Features: Demand Prediction Engine: Real-time geospatial usage heat maps. Quarterly demand forecasting using AI-powered models. ROI estimators for infrastructure investments. Scenario simulation tools for evaluating the impact of various deployment strategies. Data Intelligence Modules: Analysis of urban growth trends and population mobility. Demographic and industry-specific usage pattern insights. Bandwidth utilization segmentation to identify peak and off-peak consumption. Competitive Positioning Insights: Network coverage gap identification to highlight underserved regions. Competitor infrastructure benchmarking for strategic positioning. Underserved market opportunity mapping for high-value customers.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.