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_taiwan-do-same-sex-couples-really-enjoy-equal-rights.webp "Five years after Taiwan legalized same-sex marriage, DW catches up with the first married couple in Taipei to learn about their experience of the new law. Did it make a difference to their lives?")
_18-7-deadly-sins-full-movie.webp "7 Deadly Sins - Full Movie")
_micro-sex-office-2011.webp "Micro Sex Office is a 2011 Hong Kong comedy romance film directed by Lee Kung-lok (李公樂). The film stars Koni Lui Wai-yee (呂慧儀), Dada Chan Ching (陳靜), Jim Chim Sui-man (詹瑞文), Burmie Wong Wing-kwan (黃穎君, Bonnie Wong Man-wai 黃文慧), Yedda Chiu Tong (趙彤), Harriet Yeung Sze-man (楊詩敏), Jacqueline Chong Si-man (莊思敏), ZO Shen Zhi Ming (沈志明), Gill Mohindepaul Singh (喬·慕軒達保羅·星), Tyson Chak Hoi-tai (翟凯泰) and Oscar Li Jia (李嘉).<br/><br/>Once upon a time in Hong Kong, there's this traditional medicine oil company that has come seriously close to bankruptcy. However, its bored-stiff staff - the mean manager Ben Chow (Jim), sleazy Tarzan (Tyson), love-deficient Heidi So (Harriet), and clueless newbie Rachel (Koni) - has nothing better to do than fantasizing about all kinds of sexual escapades in their cold drab little cubicles. Thankfully, their company is taken over by an adult toy enterprise from China, and their wet dreams come true when four delectable new coworkers come to jazz up their office life!")
_first-ever-black-hole-image-sharpened-using-machine-learning.webp "The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. <br/><br/>PRIMO is short for principal-component interferometric modeling. <br/><br/>Credit: Space.com | footage courtesy: L. Medeiros (Institute for Advanced Study), D. Psaltis (Georgia Tech), T. Lauer (NSF’s NOIRLab), and F. Ozel (Georgia Tech) | edited by Steve Spaleta")
_lovely-dark-and-deep-2023-english-movie.webp "Lovely Dark and Deep (2023) English Movie")
_a-family-affair-trailer-1-2024-movie-joey-king-zac-efron.webp "An unexpected romance triggers comic consequences for a young woman, her mother, and her boss, grappling with the complications of love, sex, and identity.")
_pappu-bikare-ki-girlfriend-gulli-bulli-cartoon-granny-short-tmkoc-mummy-shortscomedy.webp "watch here new Pappu Bikare ki GirlfriendGulli BulliCartoongrannyshorttmkoc mummyshortscomedy, Do follow for watching next")
_lucid-dreams-by-tape-machines-best-song-collections.webp "Best Song Collections<br/>Track Title: Lucid Dreams<br/>Artist:Tape Machines<br/>Thanks to Epidemic Sound for this wonderful song collections<br/>Credit to Canva, Capcut, Pixabay, Pexels and mixkit for the video clip.")
_18-locked-up-2017-hollywood-unrated-movie.webp "Locked Up (2017) UNRATED Hollywood Movie")
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
_pythagora-switch-mini-10-stick-anime-handkerchief-theater.webp "Bad 10 Stick Anime and ending with Synchronized Trigger Machine (Patranger)")
_cattle-monitoring-goes-next-level-with-artificial-intelligence-124-may-29-2024-124-queensland-country-life.webp "The Department of Agriculture and Fisheries and Goondiwindi-based company Infarm have collaborated to create a prototype automated camera system to detect cattle and monitor their condition using advances in machine vision and AI.")
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