From Code to Silicon: Tiny Tapeout Chip Design Workshop

Executive Workshop on Excellence in Public-Private Partnership Infrastructure Contracts for Non-Legal Professionals - Practical Understanding of Legal and Common Commercial Clauses, 27-28 Sep 26, Singapore. Small Group. Intensive. Dear industry colleagues Objectives Excellence in negotiating Public-Private Partnership (PPP) contracts. Gaining a clearer view of the legal implications of PPP agreement provisions. Avoiding the pitfalls in PPP contracts by incorporating best practices. Programme Highlights Bonus – Sample PPP contracts & a model set of boilerplate clauses will be provided - You do not need to have legal knowledge to attend this practical course - Learning from best practices and recent cases Day 1 1. Negotiating essential terms & conditions for PPP - Successful negotiation strategies for strong PPP contracts - PIOC negotiating techniques - Harvard Negotiation Project - The 5 breakthrough strategies in difficult negotiations 2. Reviewing, Negotiating & Drafting PPP contract’s provisions - The parties to the contract - The duration of contract - Recital – aim & background of the contract - Definitions & interpretation of commercial clauses - The condition precedent clause - Most favourable customer & benchmarking - Anti-competitive clause: Competition Act - Commencement, commissioning date, completion and modification - Best endeavor clause - Reasonable endeavor clause - The rights, obligations and roles of contractor & of the public body - The requirement for Performance Bonds - Insurance requirements - Government warranties - Private sector warranties - Consequences to change in law & regulations - Service quality & PKI - Procedures for monitoring, measuring & enforcing performance - Reporting requirements clause - The responsibilities of public bodies and contractor in capital expenditures - The remuneration of contractor – fixed fee or other arrangements - Allocation and management of key risks - The contractor’s rights & responsibilities regardin

Amazon Web Services and The AI Capitol invite you to Hermes AI Agent Night — an evening of live demos, architecture deep dives, and real talk on what it takes to get AI agents into production on AWS. Hermes is one of the most exciting open agent frameworks gaining traction across enterprise teams, startups and developers. This session puts live demos front and center so you can see agents in action, powered by services like Amazon Bedrock, not just on a slide deck. What to expect: 🚀 Demonstrations of Hermes AI agents running real workflows on AWS 🏗️ Walkthrough of the agent architecture on orchestration and deployment 🔧 Hands-on insights into AWS AI tooling that accelerates agent development 💬 Open discussion on production-grade deployment at scale in enterprises Who this is for: Technical founders exploring agent frameworks with cloud-native deployment Product and ops leaders evaluating AI automation to drive efficiency across their teams Developers and engineers building AI agents on AWS Why AWS for AI Agents: AWS provides the most complete stack for building, deploying, and scaling AI agents - Whether you're prototyping or running agents in production, AWS gives you the infrastructure to move fast and scale confidently. 📅 29 Sept, 6pm to 9pm SGT 📍 Amazon Web Services Singapore Capacity is limited. Food and drinks are provided. RSVP to secure your spot.

We're bringing together the founders and core leaders of AI-native companies building in or entering Singapore, and the talent that makes those companies work — from research and engineering to go-to-market and operations. The evening is capped at a size where every conversation can be a real one — lightning talks, fireside conversation, and a long, well-fed networking session. No panels, no pitches, no badge-scanning. Who this is for Attendance is by approval only. We're curating the room for: Founders, CTOs, and Heads of AI/Research at AI-native companies building in or expanding into Singapore ML researchers and senior AI engineers working on frontier models, inference, or agentic products GTM leaders and local operations talent who help AI companies land and scale in Singapore and APAC If that's you, request a spot. If you're not sure, apply anyway and tell us what you're building — we read every request. Agenda 18:00 · Doors open & check-in 18:30 · Lightning talks & fireside chats — GMI Cloud, NVIDIA, and select AI-native founders 19:00 · Curated networking & dinner & drinks 21:00 · Close About AI Companies Meet Talents is a GMI Research Institute series across San Francisco, Singapore, and Tokyo, co-presented with NVIDIA — intentionally small, always curated. GMI Cloud is a Silicon Valley-headquartered GPU infrastructure and inference platform and an NVIDIA Reference Architecture Cloud Partner. Spots are strictly limited. Registrations are reviewed individually, and approved guests receive venue details by email.

Click here to follow AI Singapore's online community on Discord for updates The hard part about AI-generated code is making it reliable. How do you create agents that hold up in production, and produce code you can trust when a machine wrote it? We'll look at it from two fronts: Harness engineering — the scaffolding that turns a model into an agent. Only one layer of an AI agent is the model; the rest is the harness — orchestration, memory, tool design, evaluation, retries, observability. The scaffolding that turns a capable model into a dependable autonomous agent + a look at DeepSeek's Open-Source AI Agent Framework AI code review & CI automation. Code review has become the bottleneck — reviewing pull requests with full-codebase context, rooting out CI failures, and committing real fixes, including catching the issues AI-generated code introduces. Speakers from Sonar and AI Singapore Terence Kong, AI Engineer and AIxTech Curriculum Lead at AI Singapore Hector Tan, AI Engineer and AIxTech Community Lead at AI Singapore Gautam Korlam, Principal Engineer at Sonar, a global leader in AI code verification and governance. Gautam joined Sonar through the 2026 acquisition of Gitar, the AI-native code review solution that he co-founded. He previously helped build Uber's centralised developer platform, working on the monorepo, building infrastructure, and CI systems that underpin software delivery at scale. At Sonar, Gautam is helping shape the next generation of AI-powered code review and verification for engineering teams operating at scale. This is an in-person event. Please note: AIxTech learners are given priority to seats, These folks paid for the programme and these meetups are part of it — and that applies to every meetup under AIxTech, not just this one. More on AIxTech: https://aisingapore.org/aixtech/ . If you're an existing AIxTech learner, RSVP using the same email as your AIxTech account. If you’re not an AIxTech learner, we'll approve your RSVP as best we can

Join us for our annual flagship event! Please note that XConf is a ticketed event and RSVPing on Meetup will not reserve your seat. Get your tickets today: https://tinyurl.com/euwytfxp As a valued member of our Meetup community, we're delighted to offer you an exclusive 20% discount to attend XConf. Enter the code MEETUP at checkout to redeem your discount. Built by technologists, for technologists, XConf APAC brings together engineers, architects, technology leaders and the wider tech community for a day of practical insights, thought-provoking discussions and real-world experiences. Event details \Date: Friday, October 2, 2026 Time: 9:00 am - 5:00 pm (Registration starts at 8:30am) \Venue: Ballroom 1, Level 3, The Westin Singapore, 12 Marina View, Asia Square Tower 2, Singapore 018961 Agenda This year's sessions explore how engineering teams are designing, building and scaling meaningful solutions with AI. Highlights include: [Keynote] Different clocks: Why execution speed is a strategic choice Learn how MYOB built an AI product capability from the ground up over the past 18 months, making strategic choices and matching the pace of decisions to the pace of change. Agents don't fail, they guess: Designing contracts for multi-agent pipelines Learn practical patterns for building reliable multi-agent systems. The AI Native Squad: How small teams deliver faster with AI Discover how AI is reshaping team workflows and software delivery. First Responder: Agentic incident triage See how agentic AI can accelerate incident response in production. AI is a scout, not an engineer Rethink the role of AI in engineering and decision-making. Making chatbots sweat: Testing AI conversations at scale Learn how you can use AI to test AI, and how it catches failures before real people do. From dead-on-arrival to alive: How AI resurrects the humble ADR Discover how AI can transform ADRs into living guidance that keeps systems and teams aligned. Keeping sight of the cust