Low-Power Computing Courses and Certifications

Craft Computing

An 8-Core Fanless Mini PC for your Homelab - MINIX Z300

Explore the MINIX Z300 fanless mini PC featuring an Intel Core i3-N300 8-core CPU, evaluating its potential as a quiet, low-power homelab solution.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Strange Loop Conference

An Approach to Computing and Sustainability Inspired From Permaculture by Devine Lu Linvega

Explore low-power computation systems and esoteric programming languages designed for offline use on salvaged devices, inspired by 7 years of Pacific Ocean sailing experiences.

• YouTube
• 55 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Approximate Adder Design for Low-Power Computing - Lecture 12.10

Explore novel approximate adder designs for edge detection applications, including OLOCA and HOAANED, and their use in creating efficient approximate multipliers.

• YouTube
• 14 minutes
• On-Demand
• Free Video

USENIX

Immortal Threads - Multithreaded Event-driven Intermittent Computing on Ultra-Low-Power Microcontrollers

Explore a novel programming model for intermittent computing on ultra-low-power microcontrollers, enabling efficient multithreaded processing and event handling with minimal progress loss during power failures.

• YouTube
• 15 minutes
• On-Demand
• Conference Talk

Strange Loop Conference

Programming a 144-Computer Chip to Minimize Power

Explore ultra-low power computing with a 144-core chip. Learn programming techniques to minimize energy consumption, optimize instruction execution, and leverage asynchronous architecture for efficient computing.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

Digi-Key

Getting Started with Google Coral Dev Board Micro - Low-Power Object Detection

Learn to train and deploy a custom object detection model on the Google Coral Dev Board Micro, achieving fast inference speeds with low power consumption. Hands-on guide covers data collection, model training, and deployment.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Develop Android Context Hub Runtime Environment (CHRE) Nanoapps in WebAssembly

Learn to develop Android CHRE nanoapps using WebAssembly, enhancing security, cross-architecture compatibility, and battery efficiency for always-on, contextually aware features.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Design and Implementation of RISC-V Based LoRa Module for IoT Edge Computing

Explore a prototype RISC-V-based LoRaWAN end node PCB design, combining FPGA and RISC-V architecture with LoRa interface for low-power, high-capacity IoT solutions with edge analytics capabilities.

• YouTube
• 40 minutes
• On-Demand
• Free Video

tinyML

State of the TinyAutoML Market - Keynote

Explore the emerging tinyAutoML market, its challenges, opportunities, and potential impact on IoT and edge computing. Gain insights from industry experts on automating tiny machine learning applications.

• YouTube
• 33 minutes
• On-Demand
• Free Video

tinyML

Sensing Applications as a Driver for TinyML Solutions

Explore intelligent MEMS applications in motion learning, sports analytics, and environmental sensing. Learn how domain knowledge optimizes TinyML for ultra-low power contexts and shapes emerging ecosystems.

• YouTube
• 27 minutes
• On-Demand
• Free Video

tinyML

Accelerate Edge Compute with Syntiant's TinyML Platform

Explore Syntiant's TinyML platform for efficient edge AI in battery-powered devices, featuring Neural Decision Processors for enhanced processing and power efficiency compared to MCUs.

• YouTube
• 35 minutes
• On-Demand
• Free Video

tinyML

hls4ml: An Open-Source Co-Design Workflow for Scientific Low-Power Machine Learning Devices

Explore hls4ml, an open-source workflow for implementing machine learning algorithms on FPGAs and ASICs, enabling real-time processing for scientific applications and accelerating discoveries.

• YouTube
• 21 minutes
• On-Demand
• Free Video

tinyML

TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment

Exploring the journey from tinyML face detection demos to large-scale commercial deployment, addressing real-world challenges and bridging the gap between prototypes and practical applications.

• YouTube
• 25 minutes
• On-Demand
• Free Video

tinyML

Many Shades of Acceleration - An Open TinyML Platform Perspective

Explore extreme edge AI, energy efficiency, and acceleration techniques for TinyML applications with insights from the PULP platform and RISC-V processors.

• YouTube
• 55 minutes
• On-Demand
• Free Video

tinyML

System Software for Machine Learning at the Edge - tinyML Asia 2020

Explore system software approaches for optimizing ML on edge devices, focusing on compiler and runtime techniques to maximize hardware potential for mobile and IoT applications.

• YouTube
• 32 minutes
• On-Demand
• Free Video