Path Finding Visualization vs LatentLens

Want to see various pathfinding algorithms in action? With Path Finding Visualization, you can visualize, in action, six different algorithms. This app allows you to select your own starting and ending points, select the algorithm you want to use, and add walls in order to create boundaries. This app includes the following algorithms: Dijkstra's - Works by expanding outwards until it reaches the target node. Guaranteed to find the shortest path as long as there are not any negative weights. Bidirectional Dijkstra's - Dijkstra's algorithm from both sides. A* - Like Dijkstra's in that it favors nodes close to the starting point, but also favors nodes close to the ending point (heuristic). It does not guarantee the shortest path. A tie-breaker that prefers straight lines was included in order to prevent multiple nodes from having the same F values. Bidirectional A* - The A* algorithm from both sides. Breadth-First Search - Traverses through a graph one level at a time until it finds the target node. Since there are no weights, this algorithm does guarantee the shortest path. Depth-First Search - Traverses through a graph by going as deep as possible and then backtracking until it finds the target node. It does not guarantee the shortest path. Learning about or want to visualize any of the above algorithms in action? Download Path Finding Visualization today and have a better understanding of how each algorithm works.

LatentLens teaches artificial intelligence the way a great teacher would — by starting with something you already understand. Every lesson opens with a familiar analogy from everyday life. Then it shows you where that analogy breaks down. Then it gives you the real concept, visualised and interactive, so you can see exactly how the pieces fit together. No maths degree. No prerequisites. No jargon before the intuition. — WHAT YOU'LL LEARN — 6 pillars. 39 lessons. Every major concept in modern AI, built up from first principles. • Foundations — the maths behind every AI model: vectors, calculus, probability, information theory • Machine Learning — how computers learn from examples: regression, classification, decision trees, clustering, reinforcement learning • Deep Learning — neural networks that see, hear, and create: perceptrons, backpropagation, CNNs, generative models • Language & LLMs — how AI reads and writes: tokenisation, embeddings, the Transformer architecture, LLM agents, hallucination • Applied AI — techniques you can use today: prompt engineering, RAG systems, fine-tuning, model deployment, AI product design • Ethics & Safety — making AI responsible: bias, interpretability, AI safety, governance, environmental impact — HOW EACH LESSON WORKS — Every lesson follows the same seven-step arc: 1. What you know — an analogy from everyday life that mirrors the AI concept 2. The challenge — why the everyday version breaks down at scale 3. The insight — the key idea that bridges the gap 4. Picture it — a custom illustration of the concept 5. See it work — an interactive visualisation you control 6. The name — the precise technical vocabulary 7. Try it — a transfer question in a completely new context Each lesson takes about 8–12 minutes. You can pause, pick up exactly where you left off, and revisit any step. — 9 INTERACTIVE PLAYGROUNDS — Lessons don't describe — they show. Drag points on a regression canvas. Watch gradient descent find the minimum in real time. Build a K-means clustering result step by step. Explore how model complexity creates overfitting. These aren't videos. They're hands-on. Visualisations include: vector playground, gradient descent animator, distribution explorer, decision boundary explorer, tree builder, K-means stepper, regression canvas, feature encoder, and complexity slider. — PROGRESS AND GAMIFICATION — • XP points and a level system for every completed lesson • Daily streaks with a built-in freeze so one missed day doesn't wipe your record • 8 badges for milestones: first lesson, pillar completions, 7-day streak, quiz mastery, and more • Full lesson history with quiz scores and completion dates • Resume any lesson mid-step — your exact position is saved — FREE TO START — The first lesson of Foundations and the first lesson of Machine Learning are permanently free — no account required, no login, no timer, no trial. Just open the app and learn. Upgrade to LatentLens Pro to unlock all 39 lessons: • Monthly — $1.99 / month, cancel anytime • Annual — $7.99 / year (best value — $0.67/month) • Lifetime — $9.99, one-time purchase Subscriptions automatically renew unless cancelled at least 24 hours before the end of the current period. Manage or cancel at any time in your Apple ID account settings. Terms of Use: https://jtscientific.com/LatentLens/terms.html — PRIVACY FIRST — LatentLens stores all data locally on your device. No account. No login. No data sent to any server. No ads. No tracking. Deleting the app removes all data permanently. For educational purposes only. Content does not constitute professional or technical advice.