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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.
Explore low-cost neural network inferencing with xcore.ai in this less than 1-hour tinyML webcast. Learn about vector units, software tools, and TensorFlow Lite optimization.
Explore high-efficiency neural network inference on ultra-low power processors with TensorFlow Lite for Microcontrollers in this less than 1-hour tinyML webcast.
Learn efficient inference across devices with tinyML's webcast, featuring MIT's Song Han. Understand the Once-for-All network and progressive shrinking algorithm in under an hour.
Explore tinyML's approach to optimizing neural networks for hybrid multicore architecture, focusing on efficient resource allocation and minimizing processing overhead. Less than 1-hour workload.
Explore Positive Unlabeled Learning for Tiny ML with tinyML. Learn about PU learning algorithms, their applications, and how they complement sensors and tiny ML in under an hour.
Learn to optimize ML models with TVMC in this less than 1-hour program by tinyML. Gain practical skills in using Apache TVM deep learning compiler stack across various platforms.
Explore edge computing solutions for sporting events with tinyML's short program. Learn to use live video feeds and Corel devices to predict race starts.
Learn to detect oral tongue lesions using tinyML on embedded devices with Dr. Mohammed Zubair from King Khalid University. Ideal for remote healthcare clinics.
Explore Edge AI applications and performance optimization with tinyML. Learn about CMSIS-NN library, operator shapes, and TensorFlow Lite for Microcontrollers in under 1 hour.
Explore the workings of microTVM, a Tensor Compiler for Bare Meta, with this less than 1-hour material from tinyML. Learn model compilation, running a model, and future directions.
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.
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