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NASA’s Boeing Starliner Crew Flight Test Launch – June 5, 2024 (Official NASA Broadcast)
⏲ 0:0 👁 80K
Two Steps From Hell - Heart Of Courage Live @ WACKEN
⏲ 3 minutes 13 seconds 👁 817.4K
Two Steps From Hell - Archangel
⏲ 2 minutes 40 seconds 👁 24M
Springwatch 2024 episode 7
⏲ 59:12 👁 645K
Two Steps From Hell - Myth (Official Music Video)
⏲ 8 minutes 👁 764.6K
Two Steps From Hell - Pegasus
⏲ 4 minutes 30 seconds 👁 2.4M
How To Make Pasta | GoodToEat
⏲ 8:14 👁 2.6M
Two Steps From Hell - Ultraground
⏲ 3 minutes 20 seconds 👁 319K
TWO STEPS FR0M HELL - VICTORY (WWII Cinematic)
⏲ 5 minutes 50 seconds 👁 8.6M
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Two Steps From Hell - Archangel Extended
⏲ 11 minutes 9 seconds 👁 6.6M
Powerful Epic мusic mix, Two Steps From Hell & Thomas Bergersen
⏲ 1 hour 48 minutes 32 seconds 👁 521.1K
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_nasas-boeing-starliner-crew-flight-test-launch-june-5-2024-official-nasa-broadcast.webp "Watch live as two NASA astronauts launch from Boeing’s Starliner spacecraft as one of the final steps on the road to certification. Launch of the ULA (United Launch Alliance) Atlas V rocket and Starliner spacecraft is targeted for 10:52 a.m. EDT Wednesday, June 5 (1452 UTC) from Space Launch Complex-41 at Cape Canaveral Space Force Station in Florida.<br/> <br/>The two NASA astronauts aboard, flight commander Butch Wilmore and pilot Suni Williams, will test the end-to-end capabilities of the Starliner system, including launch, docking, and return to Earth. After a one-week stay docked to the International Space Station, the Starliner and crew will land under parachutes in the western United States.<br/> <br/>The launch attempt on May 6 was scrubbed due to a faulty oxygen relief valve observation on the United Launch Alliance Atlas V rocket Centaur second stage. The launch attempt on June 1 was scrubbed due to an observation of a ground launch sequencer. <br/><br/>Launch coverage on NASA+ (https://plus.nasa.gov) will end shortly after Starliner orbital insertion. NASA Television (https://nasa.gov/nasatv) will provide continuous coverage leading up to docking and through hatch opening and welcome remarks.")
_two-steps-from-hell-heart-of-courage-live-wacken.webp "Two Steps From Hell")
_two-steps-from-hell-archangel.webp "OpusDeusMusic")
_springwatch-2024-episode-7.webp "Springwatch 2024 episode 7: The thrill is palpable as we unveil the winner of the over-18 Wildlife Hero award. This prestigious accolade, celebrated for its recognition of outstanding contributions to wildlife conservation, is being presented by none other than the esteemed Chris Packham and Michaela Strachan. Their presence adds an extra layer of prestige to the event, held at the renowned RSPB Arne nature reserve in Dorset. As the winner steps forward to receive their award, the anticipation and excitement in the air are almost tangible.")
_two-steps-from-hell-myth-official-music-video.webp "Two Steps From Hell")
_two-steps-from-hell-pegasus.webp "Two Steps From Hell")
_how-to-make-pasta-124-goodtoeat.webp "Ever wondered how to make pasta? Celebrity chef Theo Randall shows how to make this Italian classic in a few easy steps, here.")
_two-steps-from-hell-ultraground.webp "Two Steps From Hell")
_two-steps-fr0m-hell-victory-wwii-cinematic.webp "Jim_Kirk1")
_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 \")
_two-steps-from-hell-archangel-extended.webp "Silvermoon1k")
_powerful-epic-usic-mix-two-steps-from-hell-amp-thomas-bergersen.webp "IWannaBeCat")
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