Intermediate Track

Anomaly Detection for On-Chain Treasury: Practical Approaches (Complete Guide) Anomaly Detection for On-Chain Treasury is not about chasing flashy dashboards or pretending that every outlier is an attack. It is about building a structured system that spots behavior that deviates from treasury expectations before that deviation becomes loss, governance confusion, accounting drift, or operational embarrassment. […]

GPU Cost Optimization for Analytics: Implementation Guide + Pitfalls GPU Cost Optimization for Analytics is not about buying cheaper hardware. It is about building a measurable pipeline that keeps GPUs busy on the right work, avoids silent waste, and protects accuracy while you scale. This guide gives you a practical implementation playbook: how costs really

MEV Sandwich Detection at Scale: Implementation Guide + Pitfalls MEV Sandwich Detection at Scale is not a single heuristic and it is not a dashboard that flags a block as “bad”. It is an end to end engineering problem: ingesting blocks and traces reliably, reconstructing swap intent, labeling attacker-victim-attacker patterns, measuring confidence, and doing it

Building a Market Anomaly Detector: Volume Spikes, Wash Trading, and Alerts (Complete Guide) Building a Market Anomaly Detector is the fastest way to stop getting surprised by the same three enemies: sudden volume spikes, manufactured activity that looks real but is not, and late reactions when price already moved. This guide gives you a practical,

ai inference • on-chain compute • agents • token research AI Inference Demand: On-Chain Compute Tools for Token Research Training grabs headlines, but inference is where AI becomes an always-on utility: every chat, every recommendation, every alert, every agent action. As inference workloads explode, compute becomes the new bottleneck for builders, researchers, and teams running

GPU Efficiency Playbook: Undervolt, Fan Curves, and VRAM Pad Upgrades for 24×7 Compute Around-the-clock compute pushes graphics cards far beyond “gaming for a few hours.” Machine learning training runs, render farms, scientific compute, and validators demand weeks of continuous duty. This playbook shows you how to cut 10–35% power draw, shave 5–20°C from hotspot temps,

Why Every Web3 Builder Should Understand AI Now More Than Ever Web3 is programmable value; AI is programmable knowledge. The two are colliding into a new stack where agents have wallets, data has provenance, models earn and pay, and governance is increasingly mediated by machine intelligence. This masterclass explains the convergence, what’s real, what’s hype,

AI + DeFi: Smarter Trading, Better Risk Models, or Just Hype? Decentralized finance (DeFi) promises open, programmable markets; artificial intelligence (AI) promises pattern discovery and automation at scale. Put them together and you hear bold claims: alpha on tap, robots that never sleep, risk models that avert crises. This deep-dive separates signal from noise. We’ll

The Future of AGI: How Close Are We to Superintelligent Machines? “Artificial General Intelligence” (AGI) is both a destination and a moving target. As AI systems pass more exams, write code, and reason across domains, the question deepens: how close are we to machines that can learn anything we can, and perhaps more? This masterclass