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Explore Binarized Neural Networks (BNNs) for efficient deep learning on microcontrollers with tinyML. Learn to build, train, and benchmark BNNs using open-source libraries. Less than 1-hour workload.
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.
Explore the challenges and solutions of deploying Neural Networks in low power edge devices with tinyML. Learn about design optimization, hardware-software co-optimization, and automatic inference code generation.
Learn to build advanced hand-gestures using radar and tinyML in less than an hour with tinyML. This study case by Imagimob demonstrates the development of gesture-controlled headphones.
Explore novel methods for compressing convolutional neural networks with tinyML's under 1-hour material. Learn to create highly accurate, compact CNN topologies for resource-limited devices.
Learn to optimize and compress neural networks for use on resource-constrained systems with tinyML's under 1-hour material. Explore pruning, quantization, and more.
Learn extreme compression techniques for LSTM models using sparse structured additive matrices in this less than 1-hour webcast by tinyML. Gain insights into structured matrices, doping, and co-matrix dropout regularization.
Explore AI and deep neural networks with tinyML's under 1-hour material. Learn about Maxim's technology for power-efficient AI at the IoT edge.
Explore AI/ML solutions for low-power Edge platforms with tinyML. Learn about challenges, opportunities, and practical applications in less than an hour.
Learn to build products using Edge AI/TinyML on MCUs with tinyML. Understand sensor optimization, component specification, and data collection cost minimization in under 1 hour.
Learn to run speech recognition models on low-power devices with Fluent.ai's Vikrant Tomar & Sam Myer in this less than 1-hour tinyML webcast.
Explore efficient multi-resolution visual computing on mobile systems with tinyML. Learn to optimize image resolution for energy saving and meet computational needs with minimal developer burden.
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