Secure & Democratize the Data in Your Customer's Brownfield Devices
Secure legacy devices, add cybersecurity, and integrate operational data into modern IIoT infrastructure using edge programmable industrial controllers for digital transformation initiatives.
Supercharge Your Vision AI Business with NVIDIA Metropolis
Discover how NVIDIA Metropolis can enhance your Vision AI business through improved performance, streamlined deployments, enterprise readiness, and access to GPU infrastructure and business support.
Visual AI in Milliwatts - A Grand Challenge and Massive Opportunity
Explore visual AI's potential in low-power devices, discussing challenges, opportunities, and applications in security cameras and beyond. Learn about deep learning, processors, and algorithms driving this technology.
tinyMLPerf: Benchmarking Ultra-low Power Machine Learning Systems
Explore benchmarking for ultra-low power ML systems, focusing on tinyMLPerf's methodology, tasks, and ecosystem impact. Learn about quantization and community-driven efforts in this emerging field.
Energy-efficient On-device Processing for Next-generation Endpoint ML - tinyML Summit 2020
Explore energy-efficient on-device processing for endpoint machine learning, focusing on Arm's Cortex-M55 CPU and Ethos-U55 NPU for next-generation AI applications.
Resource Efficient Machine Learning in a Few KBs of RAM - tinyML Summit 2020
Explore resource-efficient machine learning techniques for IoT devices with limited RAM, focusing on Microsoft's EdgeML library and algorithms like ProtoNN and FastRNN for edge computing.
TinyML Talks - Review of the TinyML EMEA Forum - The Seeds Have Been Planted, Time for the EMEA
Comprehensive review of the inaugural tinyML EMEA Forum, highlighting key events, discussions, and future directions for the tinyML movement in Europe, Middle East, and Africa.
Avoiding Loss of Quality in Tiny Models - Neuton.ai Partner Session
Explore compact AI models without sacrificing quality. Learn to assess model quality, understand decision-making logic, evaluate training data, and interpret model outputs for tinyML applications.
The Model Efficiency Pipeline: Enabling Deep Learning Inference at the Edge
Explore optimizing deep learning for edge devices through model efficiency techniques, including neural architecture search, pruning, quantization, and conditional processing.
tinyML Vision Challenge - Intel-Luxonis DepthAI Platform Overview
Explore Intel and Luxonis' DepthAI platform for advanced vision solutions. Learn about AI inference, OpenVINO toolkit, and developing spatial edge applications using the LUX-ESP32 device.
tinyML: Impact and Growth of Always-On Devices
Explore the growing impact of tinyML devices in everyday life, from always-on voice in phones to environmental sensing in machines, and learn about the market's rapid expansion and technological requirements.
Hardware Aware Training for Efficient Keyword Spotting - tinyML Research Symposium 2021
Explore hardware-aware training for efficient keyword spotting, focusing on Legendre Memory Unit networks to achieve state-of-the-art accuracy and power efficiency on various hardware platforms.
Advanced Network Quantization and Compression Using AIMET - tinyML Summit 2021
Explore advanced network quantization and compression techniques using AIMET to optimize AI models for efficient deployment on end devices, addressing memory, compute, and energy constraints.
How Cloud Helps Your IoT Devices to Get Location Data
Discover efficient cloud-based methods for IoT devices to quickly acquire accurate location data using GPS and cellular technologies, enhancing performance regardless of geographical position.
Powering the Next Generation of IoT with Embedded Machine Learning
Unlock IoT potential with Edge Impulse machine learning and Nordic's low-power wireless solutions. Learn to create motion detection, sound recognition, and image classification on edge devices using nRF52840 and nRF5340 kits.
NRF9160 - Putting the "Smarts" Into Smart Meters
Explore how nRF9160 SiP enables smart meters with cellular IoT, solving connectivity, flexibility, and power challenges for efficient utility metering and cloud integration.
How to Configure Proxmox VE Firewall
Learn to configure Proxmox VE's built-in firewall for enhanced security. Covers rule creation, management levels, aliases, IP sets, security groups, and troubleshooting techniques.
How to Setup a Proxmox Cluster
Step-by-step guide to setting up a Proxmox cluster, covering requirements, creation process, and adding nodes. Learn to efficiently manage multiple hypervisors in a centralized environment.
How to Install Samba Share on Home Assistant
Learn to install and configure Samba Share on Home Assistant, enabling secure file sharing. Covers setup, testing, and troubleshooting for Linux and Windows clients.
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.
De-risking Embedded Machine Learning Projects Using Novel Technologies
Explore novel technologies for successful embedded machine learning projects, addressing challenges and ensuring customer success through innovative design and engineering philosophies.