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SUMMARY:Tiny ML Contest at IEEE COINS 2023: IEEE International Conference on Omni-Layer Intelligent Systems
DESCRIPTION:IEEE COINS 2023: IEEE International Conference on Omni-Layer Intelligent Systems  \nJuly 23-25\, 2023 | Berlin\, Germany | Hybrid Event: In-Person and Virtual Presentations \nhttp://coinsconf.com \nRUN NOW to participate in our Tiny ML Contest. Awards (donated by STMicroelectronics) to the top three entries: \n\n1st place wins $1\,500\n2nd place wins $1\,000\n3rd place wins $500\n\nThe Tiny ML Contest at IEEE COINS is a challenging\, multi-month\, research and development competition\, focusing on advanced\, real-world problems in the fields of AI\, Embedded Systems\, and IoT. It is open to multi-person teams worldwide. The focus of this year’s contest is on Human activity recognition.  Human activity recognition is a common machine learning task that is widely used in multiple domains. This technology uses data from various sensors to help monitor health conditions\, recognize abnormal human activities for surveillance\, track fitness workouts\, and much more. \nThere are\, of course\, various challenges associated with implementing complex human activity recognition. To achieve the required accuracy on low-power devices like wearables\, embedded engineers have to find ways to run machine learning models on platforms with limited memory and processing capacity. Experts\, therefore\, need to design neural networks with a size-accuracy ratio that is appropriate for a proposed machine learning task on a memory-constrained device. \nThe call for participation is here: \nhttps://coinsconf.com/wp-content/uploads/2023/02/TinyML-Contest.pdf \nhttps://coinsconf.com/ \n  \nTentative Schedule: \n Submission date: 31st May 2023 \nConference date: 23-25th July \nNotification date: during the conference (will be announced later) \n   \nRegistration:  \nInterested parties must email the ST\, Neuton\, and COINS contacts listed below. \n  \nContact persons: \nST: marco.bianco@st.com \nNeuton.AI: roman.rusak@neuton.ai \nIEEE COINS: farshad.firouzi@duke.edu \n   \nAwards donated by ST Microelectronics to the top three entries: \n1st place wins $1\,500 \n2nd place wins $1\,000 \n3rd place wins $500 \n 
URL:https://www.ieee.de/event/tiny-ml-contest-at-ieee-coins-2023-ieee-international-conference-on-omni-layer-intelligent-systems/
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