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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 low-cost, energy-efficient sensor data acquisition at scale with tinyML. Learn from Everynet's CTO about hardware and software optimizations, use cases, and best practices.
Explore tinyML's compact guide on using neural networks for Diabetic Retinopathy screening. Learn about CNNs, data processing, model training, and energy-efficient implementations.
Join tinyML's South African meetup for an introduction to tinyML, its applications, and tools. Engage in Q&A and provide feedback for future events. Less than 1-hour commitment.
Explore the Neuromorphic Analog Signal Processor (NASP) concept with tinyML. Learn about neuromorphic computing, neural networks, and the transformative NASP technology in just 1-2 hours.
Explore the RISC-V ISA specifications, software support, and opportunities for open-source contributions in low-power ML applications with tinyML. 1-2 hours workload.
Explore TinyML with Arm's tech lead, Gian Marco Iodice. Learn about machine learning on microcontrollers, upcoming TinyML book, and future in-person activities in the UK.
Explore novel device technologies and materials for neuromorphic computing with tinyML. Learn about emerging electronics, memory storage, and computational applications in under an hour.
Explore battery-optimized people counting using FIR and AI with Kontakt.io's CTO and R&D Lead Engineer in this less than 1-hour tinyML program.
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.
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