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Cinemablend is the go-to-source for today's information and updates on new movies, tv shows, games and celebrity news and gossip.
⏲ 3:18 👁 155K
Phenix Tutorials
⏲ 5 minutes 50 seconds 👁 3.2K
Angela Caglia Skincare
⏲ 1 minute 34 seconds 👁 2.4K
Elevate Your Compliance Game with Akitra's Advanced Tools! Discover how Akitra empowers organizations to streamline compliance efforts, mitigate risks, and achieve regulatory compliance goals with confidence. Like, share, and subscribe to our YouTube channel to access more valuable content on compliance management.<br/><br/>Book a demo to learn more about our solutions and how they can benefit your organization: akitra.com/demo
⏲ 0:30 👁 90K
Georgia Louise Skincare
⏲ 5 minutes 31 seconds 👁 18.4K
Belorraine
⏲ 3 minutes 47 seconds 👁 30K
If there’s one area of cycling that divides opinion more than any other, it’s the rise of the e-bike. Love them or hate ‘em, e-bikes are becoming more prevalent and I’m sure many of you are becoming just a little bit e-curious. <br/><br/>We personally think they’re a great tool for many riders but just to prove it we’re going to go for a ride and try to dispel some of the common e-bike myths along the way.
⏲ 10:8 👁 1.2M
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 \
⏲ 4:9 👁 75K
Discover the magic of ai with this unreal text to music ai generator tool. Making music has been made easy with ai. No need for studios or fancy equipments ,magic now can be made just by the click of the button. For music lovers and experts, SUNO is the perfect tool to make music or to get some inspiration for your coming album. What are you waiting fora, create your playlist today with SUNO.<br/><br/>#ai #musicgenerator #aimusicgenerator #aimusic #aimusicproduction
⏲ 6:35 👁 220K
Olympic boxing gold medallist Nicola Adams has a created self-defence lesson for women - to empower them in vulnerable situations.<br/><br/>The online session features the West Yorkshire star demonstrating different boxing techniques and basic defence moves.<br/><br/>It is five minutes long to allow for busy schedules – and includes moves the star might use ahead of a big fight in the ring as well as confidence techniques.<br/><br/>The video is available to watch for free on YouTube [https://www.youtube.com/watch?v=OsMNmVSUhdI].<br/><br/>It comes as research of 2,000 women by Bodyform found 53 per cent have felt vulnerable and insecure at times, while 46 per cent have felt unsafe.<br/><br/>These feelings have been provoked when walking down the street at night (61 per cent), on public transport (40 per cent) and even walking outside in the daytime (35 per cent).<br/><br/>Although more than half (53 per cent) have already turned to sport or exercise as a way of improving how they feel about themselves, be that physically or mentally.<br/><br/>And 27 per cent said being physically stronger helps them to feel safer, more confident and empowered as a woman.<br/><br/>Nicola Adams, OBE, who is working with the feminine protection brand to empower women, said: “Bodyform’s Superiority campaign is important, and comes at a time where we are aware as a nation that women have a right to feel strong and protected, but more work needs to be done.<br/><br/>“The class we’ve created together aims to providewomen+ with tools to help them feel more protected, empowered and to increase their sense of self-worth.<br/><br/>“I’ve always set out to challenge norms and to encourage women to believe in themselves, and this is just another way together we can help to break barriers.”<br/><br/>The study, carried out via OnePoll.com, found 73 per cent of women don’t believe they should feel threatened by anyone in any situation, due to their gender.<br/><br/>Although those who have felt strong and safe in recent months admit this was when they were at work (45 per cent), out with a group of friends (27 per cent) and at the gym (16 per cent).<br/><br/>To help themselves to feel more confident, 42 per cent of women try to eat well and 38 per cent stick to being in familiar places such as their hometown.<br/><br/>Just under three in 10 (28 per cent) will spent time outside, 27 per cent focus their efforts on being physically strong and 21 per cent do lots of exercise.<br/><br/>Of those who have turned to sport or exercise to improve their physical or mental health, 67 per cent admit it helps them to feel good about themselves and many like the sense of focus (44 per cent) or purpose (36 per cent).<br/><br/>But there are a number of barriers still preventing women from being heard, and feeling protected – such as louder, more confident characters (41 per cent), body images pressures (38 per cent) and decision makers being predominantly male (24 per cent).<br/><br/>Women would like to feel stronger and empowered when walking down the street (39 per cent), in medical settings (32 per cent) and at work (31 per cent).<br/><br/>While others want to be secure and comfortable in the pub (24 per cent), in nightclubs (20 per cent0 and when running in public (15 per cent).<br/><br/>A spokesperson for Bodyform [https://www.bodyform.co.uk/] said: “Partnering with Nicola felt completely right, as everything she stands for as a woman aligns with what we are about – strength, both physically and mentally, equality and inclusion.<br/><br/>“We’re not just about words, we’re about solutions, and Nicola allows us to do that by creating a self-defence class accessible for everyone and which champions female empowerment.<br/><br/>“Women often face situations where their comfort and protection and security is threatened, and we want challenge and change that.”<br/><br/>TOP 15 THINGS THAT MAKE WOMEN FEEL MORE EMPOWERED:<br/><br/>1. Eating well or healthily<br/>2. Being in a familiar place e.g. hometown<br/>3. Being knowledgeable on a discussion topic<br/>4. Spending more time outside<br/>5. Being physically strong<br/>6. Men understanding female issues<br/>7. Challenging myself to do things outside of my comfort zone<br/>8. Surrounding myself with family when home<br/>9. Being with others rather than alone<br/>10. Surrounding myself with friends when out and about<br/>11. Females having important roles in the workplace<br/>12. Lots of exercise<br/>13. Practicing mindfulness or meditation<br/>14. Safe spaces for women e.g. drop in centres<br/>15. Being on the phone to someone if I’m out on my own
⏲ 1:52 👁 410K
Soul Land 2-The Peerless Tang Sect,Soul Land 2,The Peerless Tang Clan ,Duolo dalu 2-The unrivaled Tang Sect ,Juensi Tangmen ,斗罗大陆Ⅱ绝世唐门<br/><br/>During the collision of the Douluo Continent and Sun Moon Continent, the Tang Sect started to slowly decline in power. Since 10.000 years ago, the Tang Sect established a tradition of nurturing Blue Silver Grass soul masters, thanks to the fame of the founder Tang San. Many of them not being as successful as Tang San. The current sect master is Tang Ya with a Blue Silver Grass.<br/>One of the main reasons of the decline was due to the development of Soul Tools in the Sun Moon Empire, which made the hidden weapons that the Tang Sect produced to be ineffective against them in the war 4000 years ago, and the power of the hidden weapons was questioned. Because of the lack of income from then on the sect quickly declined.<br/><br/><br/><br/><br/><br/><br/>#soulland<br/>#thepeerlesstangclan<br/>#Thepeerlesstangsect<br/>#Huoyihao<br/>#斗罗大陆Ⅱ绝世唐门
⏲ 0:38 👁 650K
Ertugrul Ghazi Urdu | Episode 54 | Season 4 #shorts <br/>Ertugrul Ghazi\
⏲ 1:0 👁 45K
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