Join our hands-on technical sessions, collaborative innovation sprints, and live build masterclasses with leading AI researchers and engineers.
You've seen plenty of demos where AI generates charts and SQL. The real challenge is connecting the entire data workflow. We bring the data stack to life live: AI-powered ingestion, transformation, governance, and analyticsβbuilt end-to-end in under an hour, with one data model flowing seamlessly from raw data to trusted insights.
Learn how to design robust reasoning loops, configure function-calling schemas, establish vector memory buffers, and benchmark multi-agent LLM systems with LangGraph and local vLLM instances.
A 48-hour collaborative building sprint addressing sustainability, computer vision, and healthcare diagnostics. Pitch your prototypes to venture partners and industry judges for RM 1000 in prizes.
Step-by-step masterclass on parameter-efficient fine-tuning (PEFT), quantization methods (4-bit/8-bit), and deploying custom instruction-tuned LLMs on consumer GPUs with minimal VRAM.
Develop low-latency bidirectional voice and video streaming agents using WebRTC, Whisper ASR, and Gemini Multimodal Live APIs for interactive campus kiosks.
Guest lecture by senior NVIDIA autonomous vehicle researchers on occupancy grids, diffusion-based world models, and hardware-in-the-loop validation.
Deep dive into sparse-dense vector retrieval, Cross-Encoder reranking, metadata filtering at scale with Qdrant, and contextual compression pipelines.
24-hour sprint focused on optimizing solar grid consumption and battery lifecycle predictions using spatio-temporal graph neural networks (GNNs).
Hands-on lab simulating prompt extraction, indirect injection, gradient jailbreaks, and deploying guardrail wrappers (NeMo Guardrails & Llama Guard).
Comprehensive workshop covering edge camera stream processing, multi-class bounding box regression, and TensorRT acceleration on NVIDIA Jetson modules.
Student teams constructed autonomous pathfinding robots using ROS 2, LiDAR navigation packages, and obstacle avoidance reinforcement learning algorithms.
Invited research talk by AI safety practitioners on model red-teaming, prompt injection mitigations, and bias evaluation metrics across Southeast Asian multilingual corpora.
Backpropagation from scratch in pure NumPy, tensor autograd graphs, optimizer mechanics (AdamW vs SGD), and learning rate annealing schedules.
Trained Proximal Policy Optimization (PPO) agents for continuous control environments, state-action policy networks, and reward clipping.
Guest seminar by senior ML Ops engineers explaining Docker packaging, Triton inference servers, and Prometheus model drift telemetry.
Hand-coded Scaled Dot-Product Attention, Multi-Head Attention projections, and causal masking layers in PyTorch from the ground up.
36-hour sprint creating student life automation agents, course schedule optimizers, and automated syllabus indexing assistants.
Foundational workshop for incoming members covering CUDA driver verification, Conda environment isolation, and Slurm cluster job submission.
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A retrospective visual archive of our past workshops, research masterclasses, and campus keynote summits.
Comprehensive workshop covering edge camera stream processing, multi-class bounding box regression, and TensorRT acceleration on NVIDIA Jetson modules.
Student teams constructed autonomous pathfinding robots using ROS 2, LiDAR navigation packages, and obstacle avoidance reinforcement learning algorithms.
Invited research talk by AI safety practitioners on model red-teaming, prompt injection mitigations, and bias evaluation metrics across Southeast Asian multilingual corpora.
Trained Proximal Policy Optimization (PPO) agents for continuous control environments, state-action policy networks, and reward clipping.
36-hour sprint creating student life automation agents, course schedule optimizers, and automated syllabus indexing assistants.
Event: Beyond Copilots: We're Building a Data Stack Live with AI Agents
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