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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.
Explore the Akida Neural Processor's low-power, high-performance SoC for edge applications in this less than 1-hour webcast by tinyML. Learn about its unique architecture, on-chip learning, and more.
Explore software-defined imaging and adaptive video subsampling for energy-efficient object tracking with tinyML. Learn from Arizona State University's Suren Jayasuriya in under an hour.
Explore the use of Kronecker Products for compressing sequence-based neural networks in this less than 1-hour webcast by tinyML. Learn about achieving 15-38x compression factors and recovering accuracy in NLP tasks.
Learn to apply tinyML in battery-powered anomaly sensors for predictive maintenance of industrial assets with tinyML. Less than 1-hour workload.
Learn to train neural networks for sensor data in under an hour with tinyML. Understand data collection, project investigation, and achieving neural network performance for gestures.
Explore ultra-low power embedded object detection with tinyML. Learn about CNNs, deep learning, and hierarchical frameworks for high-resolution video frames. Less than 1 hour.
Explore the challenges and practical considerations of integrating vision capability into IoT devices with tinyML's webcast. Learn about hardware accelerators, algorithms, and tinyCV system design.
Explore compression methods for Convolutional Neural Networks (CNNs) with tinyML's under 1-hour webcast. Learn about pruning, distillation, clustering, quantization, and more.
Learn to train and deploy tinyML models for different sensor types with Edge Impulse in less than an hour, offered by tinyML.
Explore the optimization of neural networks on digital signal processors for hearing aids with tinyML. Learn about benchmarking, power optimization techniques, and performance comparison.
Learn to save 95% of edge power with Sparsity for tiny machine learning tasks in this less than 1-hour webcast by tinyML. Explore edge processes, sparsity types, and the GrAI Core architecture.
Explore low-power computer vision techniques with tinyML in under an hour. Learn about parameter quantization, compressed filters, network architecture search, and more.
Explore the importance of quality data in tinyML with Dr. Dominic Binks in this less than 1-hour webcast by tinyML. Learn about gathering and processing audio data for sound recognition tasks.
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