roadmap to applied ai

Deploy, manage and monitor Gen AI workloads in minutes in your own tenancy and GPU infrastructure resources.

User libraries and content resources for using Quanser products, including research examples, teaching content, user manuals, guides and more.

An analytical essay on why prediction-based models fail in reflexive, unstable systems. This article argues that accuracy collapses when models influence behavior, and proposes equilibrium and force-based modeling as a more robust framework for understanding pressure, instability, and transitions in AI-shaped systems.

A high level scripting API for Conversational Insights

Applied AI and Agentic AI project repository from the IIIT Bangalore PGP program, focusing on LLMs, agentic workflows, automation, and real-world AI system design.

Fabien Conéjéro - CEO / Founder - Convergence Human & Technology | Full-Stack Developer | AI Expert | SEO / SMO / GEO | Project Manager | Artistic Director | FC84

Research and development of executive AI systems for everyday life and industrial environments.

Given a directed social graph, have to predict missing links to recommend users (Link Prediction in graph).

Applied artificial intelligence is the implementation of AI tech to solve real world problems. It is a rapidly growing field that is set to shape our future with cutting edge technologies and perhaps even change the world as we know it today!

GraphOS is an open-source governance and observability layer designed specifically for LangGraph and the Model Context Protocol (MCP).

AI-first manual checklist builder using PageIndex-style vectorless retrieval + local Gemma4 to generate grounded maintenance checklists with strict citations.

End-to-end RAG system for grounded travel Q&A and itinerary generation, built to showcase applied AI system design.

Knowledge initiative documenting Applied AI techniques for Materials Science and Engineering. Tutorials, case studies, and best practices for ML in materials informatics.

Projects related to content covered in CS-514 (applied AI) under Prof Piotr Gmytrasiewicz

Solo-built agentic AI ecosystem from Switzerland on a 100W NVIDIA GB10 Blackwell desktop supercomputer. Cognitive robotics (Unitree Go2 + Isaac Sim 5.1 + RL PPO + GR00T N1.7), local-first BI (DuckDB + LLM NL→SQL), and LLM-reasoning EDR cybersecurity. Showcase: articles, technical docs, demo videos.

Local-first personal AI assistant with chat, memory, coaching, and multimodal explain workflows.

Automatically extracts, validates, and structures invoice data from images and PDFs using OCR + a local LLM—eliminating manual data entry.

Pixel dataset generator is a research oriented electromagnetic data generation pipeline for pixelated RF layouts intended for training AI assisted RF Design models.

Local AI Sales Assistant that converts conversations into structured CRM data and automated follow-ups.