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DTSTART;VALUE=DATE:20240507
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SUMMARY:ACM CF 2024
DESCRIPTION:21th ACM International Conference on Computing Frontiers (CF’ 24)\nThe 21st ACM International Conference on Computing Frontiers (CF’24) will take place May 7th – 9th\, 2024 in Ischia\, Naples\, Italy. Participation is in-person only. \nComputing Frontiers (CF) is an eclectic\, interdisciplinary\, collaborative community of researchers investigating emerging technologies in the broad field of computing: our common goal is to drive the scientific breakthroughs that support society. \nCF’s broad scope is driven by recent technological advances in wide-ranging fields impacting computing\, such as novel computing models and paradigms\, advancements in hardware\, network and systems architecture\, cloud computing\, novel device physics and materials\, new application domains of artificial intelligence\, big data analytics\, wearables\, and IoT. The boundaries between the state-of-the-art and revolutionary innovation constitute the advancing frontiers of science\, engineering\, and information technology — and are the CF community’s focus. CF provides a venue to share\, discuss\, and advance broad\, forward-thinking\, early research on the future of computing and welcomes work on a wide spectrum of computer systems\, from embedded and hand-held/wearable devices to supercomputers and data centers.
URL:https://www.neuropac.info/event/acm-cf-2024/
LOCATION:Ischia\, Naples\, Italy\, Naples\, Italy
CATEGORIES:Conference
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SUMMARY:ICLR 2024
DESCRIPTION:12th International Conference on Learning Representations (ICLR) 2024\n\n\n\n\nThe International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning\, but generally referred to as deep learning. \nICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence\, statistics and data science\, as well as important application areas such as machine vision\, computational biology\, speech recognition\, text understanding\, gaming\, and robotics. \nParticipants at ICLR span a wide range of backgrounds\, from academic and industrial researchers\, to entrepreneurs and engineers\, to graduate students and postdocs. \nA non-exhaustive list of relevant topics explored at the conference include: \n\nunsupervised\, semi-supervised\, and supervised representation learning\nrepresentation learning for planning and reinforcement learning\nrepresentation learning for computer vision and natural language processing\nmetric learning and kernel learning\nsparse coding and dimensionality expansion\nhierarchical models\noptimization for representation learning\nlearning representations of outputs or states\noptimal transport\ntheoretical issues in deep learning\nsocietal considerations of representation learning including fairness\, safety\, privacy\, and interpretability\, and explainability\nvisualization or interpretation of learned representations\nimplementation issues\, parallelization\, software platforms\, hardware\nclimate\, sustainability\napplications in audio\, speech\, robotics\, neuroscience\,  biology\, or any other field
URL:https://www.neuropac.info/event/iclr-2024/
LOCATION:Vienna\, Vienna\, Austria
CATEGORIES:Conference
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