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Explore the open-source AI framework AIfES with tinyML, designed for almost any hardware, including 8-bit microcontrollers. Learn from Pierre Gembaczka, the product manager at Fraunhofer IMS.
Explore deep learning model design for TinyML with SuperSlash, a unified solution for design space exploration and model compression. Offered by tinyML, this under 1-hour material is led by an ITU professor.
Learn from OpenCV.AI's CTO about building long-lasting, battery-powered AI for edge devices in this less than 1-hour tinyML session.
Explore the potential of embedded machine learning in agriculture and conservation in Africa with tinyML. Learn from Edge Impulse's CTO in under an hour.
Learn to optimize neural networks using AutoML techniques with Edge Impulse's EON Tuner in this 1-2 hour material by tinyML. Ideal for embedded systems enthusiasts.
Explore ultra-low power computer vision with Qualcomm's senior engineer. Learn about TinyML applications, custom ASIC components, and system training tools in under an hour.
Explore the disruptive revolution of TinyML in Edge Computing and AI with tinyML's 1-2 hour program. Learn its benefits, potential applications, and get hands-on experience with Edge Impulse.
Explore bio-inspired AI hardware design for energy efficiency with tinyML. Learn about spiking neural networks, non-volatile memories, and embedded AI in under an hour.
Explore the potential of tinyML in developing countries with Google's TensorFlow Lite technical lead. Learn about its applications in various fields and how to get started. Offered by tinyML.
Explore tinyML's guide on deploying speech-to-intent models to low-power devices, with practical training and demonstrations. Less than 1-hour workload.
Explore edge machine learning for mobile health technologies with tinyML. Learn to overcome challenges and leverage opportunities in IoT systems, wearable tech, and real-time health monitoring.
Explore the security of neural networks against hardware attacks in this less than 1-hour tinyML webcast. Learn about side-channel analysis, fault attacks, and potential countermeasures.
Explore AI-driven hardware and software co-design with Dr. Weiwen Jiang in this less than 1-hour tinyML talk. Learn to maximize accuracy and hardware efficiency for edge devices.
Learn about Infineon's IoT embedded machine learning solution, ModusToolbox ML, in this less than 1-hour tinyML webcast. Explore its unique features and future roadmap.
Explore tinyML's under 1-hour material on ML-based anomaly detection pipelines for microcontrollers, featuring real-time tuning and high accuracy.
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