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organized in four poles: “Computer Mathematics”, “Data Analytics and Machine Learning”, “Efficient and Secure Communications”, “Modeling, Simulation and Learning” and “Proofs and Algorithms”. The Ph.D
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of Melbourne Physics department are pursuing a very fruitful collaboration around the exploitation of liquid xenon detectors to search for rare events in deep underground laboratories. In the context
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Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, and Tushar Sharma. 2024. Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement. ACM Trans. Softw. Eng
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networking protocols and AI. Understanding of networking protocols and architectures Strong background in ML and NLP, with hands-on experience in LLMs (e.g., GPT, BERT, LLaMA). Proficiency in deep learning
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computer vision models using deep learning architectures to accurately identify and classify marine species in video footage. These models will be trained on labelled datasets to ensure their ability
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of Melbourne Physics department are pursuing a very fruitful collaboration around the exploitation of liquid xenon detectors to search for rare events in deep underground laboratories. In the context
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
processing tasks, including machine learning and deep learning [4]–[6], database processing [7], [8], and networking [9]. Near-memory computing (NMC) is a memory-centric computing paradigm that has emerged as