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_how-much-do-americans-plan-to-spend-to-get-their-yards-party-ready.jpg "Is your yard ready for summer entertaining? <br/><br/>A new survey polling 2,000 U.S. adults with backyards found that 81% would look forward to hosting parties in their backyard, but 14% admitted that they would need some time to prepare given the current state of their space.<br/><br/>According to respondents, 34% would have to improve their backyards before hosting, spending seven hours weekly and up to $1,400 to get their yards guest ready.<br/><br/>The survey, commissioned by Big Lots and conducted by Talker Research, revealed just how many Americans are looking forward to hosting a backyard soiree this year and what many feel they need to do to be best prepared. <br/><br/>Proper patio furniture (57%) was respondents’ most sought-after improvement, followed by sprucing up their existing patio furniture (39%), setting up bug repellants (37%) and installing lights (36%).<br/><br/>Hosting these get togethers can add up though, so budget is important to keep in mind. The average person felt they could host a party for as low as $190, with four in five (82%) saying it’s important to them that they stick to their budget if they plan on getting any new patio furniture or other improvements ahead of an event.<br/><br/>“Sprucing up the backyard is more than a simple task, it’s an investment in creating memories with loved ones that will last a lifetime,” said Shelly Trosclair, SVP Merchandising at Big Lots. \")
⏲ 1:0 👁 3.6M
_bluey-in-gunwharf-much-loved-australian-cartoon-dog-wows-children-and-parents-alike.jpg "Video by Chris Moorhouse")
⏲ 1:1 👁 3.8M
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.jpg "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
_limbo-2021.jpg "Limbo is a 2021 Hong Kong action thriller film directed by Soi Cheang (郑保瑞 Cheang Pou-soi) and starring Gordon Lam Ka-tung (林家棟), Cya Liu Ya-se (刘雅瑟), Mason Lee Chun (李淳) and Hiroyuki Ikeuchi ( (池内 博之). The film is based on the novel Wisdom Tooth by Chinese novelist Lei Mi.<br/><br/>Probationary Inspector Will Yam (Mason) is a recent graduate of the police academy. Due to a wave of serial killings, Will is partnered with veteran officer Cham Lau (Gordon) of Regional Crime Unit, who was recently reinstated on the force. However, the duo is unable to solve the cases and instead causes a series of incidents. Later, Cham re-encounters a drug-addicted street urchin, Wong To (Cya), who ran over his wife and daughter in the past, and his anger makes him spiral out of control and continuously abuse her. Will clumsily loses his pistol, which is found by the serial killer. With the killer lurking in the city, a crisis grows closer.")
⏲ 1:57:33 👁 280K
_her-boyfriend-cheated-on-her-she-drank-too-much-and-had-a-passionate-night-with-a-strange-man.jpg "Her boyfriend cheated on her, she drank too much and had a passionate night with a strange man<br/>#film#filmengsub #movieengsub #EnglishMovieOnlydailymontion#reedshort #englishsub #chinesedrama #drama #cdrama #dramaengsub #englishsubstitle #chinesedramaengsub #moviehot#romance #movieengsub #reedshortfulleps<br/>TAG: English Movie Only,English Movie Only dailymontion,short film,short films,best short film,best short films,short,alter short horror films,animated short film,animated short films,best sci fi short films youtube,cgi short film,film,free short film,3d animated short film,horror short,horror short film,new film,sci-fi short film,short form,short horror film,short movie<br/>")
⏲ 2:1:58 👁 290K
![Is it Possible to Get, Too Much Protein?.<br/>Low carb, high protein diets <br/>are currently very popular.<br/>Nutritionists and doctors are divided about whether <br/>or not the protein craze is entirely safe.<br/>Part of what's worrying to physicians is the lack of data on how a high-protein diet affects a person long term.<br/>No one can tell you the long-term effects, [...] No one can tell you what the results are going to be in people’s bodies 10 or 15 years later, Dr. John E. Swartzberg, University of California, Berkeley, via 'The New York Times'.<br/>Other experts say that high intakes of protein aren't absorbed by the body in the ways people might think. .<br/>People think that if they fill up with protein, it will be a magic bullet, whether for weight loss or to get in better shape and build muscle — but that’s not proving to be true, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>You can eat 300 grams of protein a day, but that doesn’t mean you’ll put on more muscle than someone who takes in 120 grams a day. , Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Nutritionists also caution that a <br/>varied diet is essential for overall health.<br/>[You end up] robbing yourself of other macronutrients that the body needs, like whole grains, fats, and fruits <br/>and vegetables, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Doctors point to certain hazards that may be inherent when eating too much protein as a person gets older.<br/>One of the benefits and concerns about high protein intake, especially animal protein, is that it tends to make cells multiply faster, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>That’s good in early life, when you’re a growing child. But in later life, this is one of the fundamental processes that increase the risk of cancer, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>Some doctors recommend between 30 to 40 grams of protein with each meal to mitigate muscle loss.<br/>Others emphasize that protein source is an important consideration, stating that \](https://cdn1.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KGx5bHmSwGUWdo3WYLJ1SLv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_is-it-possible-to-get-too-much-protein.jpg "Is it Possible to Get, Too Much Protein?.<br/>Low carb, high protein diets <br/>are currently very popular.<br/>Nutritionists and doctors are divided about whether <br/>or not the protein craze is entirely safe.<br/>Part of what's worrying to physicians is the lack of data on how a high-protein diet affects a person long term.<br/>No one can tell you the long-term effects, [...] No one can tell you what the results are going to be in people’s bodies 10 or 15 years later, Dr. John E. Swartzberg, University of California, Berkeley, via 'The New York Times'.<br/>Other experts say that high intakes of protein aren't absorbed by the body in the ways people might think. .<br/>People think that if they fill up with protein, it will be a magic bullet, whether for weight loss or to get in better shape and build muscle — but that’s not proving to be true, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>You can eat 300 grams of protein a day, but that doesn’t mean you’ll put on more muscle than someone who takes in 120 grams a day. , Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Nutritionists also caution that a <br/>varied diet is essential for overall health.<br/>[You end up] robbing yourself of other macronutrients that the body needs, like whole grains, fats, and fruits <br/>and vegetables, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Doctors point to certain hazards that may be inherent when eating too much protein as a person gets older.<br/>One of the benefits and concerns about high protein intake, especially animal protein, is that it tends to make cells multiply faster, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>That’s good in early life, when you’re a growing child. But in later life, this is one of the fundamental processes that increase the risk of cancer, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>Some doctors recommend between 30 to 40 grams of protein with each meal to mitigate muscle loss.<br/>Others emphasize that protein source is an important consideration, stating that \")
⏲ 1:30 👁 205K
_videoplayback.jpg "videoplayback")
⏲ 8:17 👁 50K
_dubai-uae-good-buildinguae-so-beautiful-country.jpg "Uae is a good country in which you will feel very fresh and fresh.")
⏲ 0:13 👁 50K
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg "Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \")
⏲ 4:28 👁 40K
_rivalry-turns-into-joy-playful-teasing-turns-into-laughter-and-fun-for-siblings.jpg "This elder brother, Rory, was playfully annoying his younger sister, Ada, until she couldn't take it anymore.<br/><br/>With a playful grin, Ada turned and gently slapped him.<br/><br/>Suddenly, both of them burst into laughter, their giggles filling the room like a burst of sunshine.<br/><br/>In no time, Ada began chasing Rory, their footsteps echoing as they ran around in circles. Their laughter continued, making the house feel alive with joy.<br/><br/>It was a moment of pure, innocent fun, showcasing the special bond they shared as siblings.<br/>Location: Preston, England<br/>WooGlobe Ref : WGA190875<br/>For licensing and to use this video, please email licensing@wooglobe.com")
⏲ 0:21 👁 40K
_how-much-longer-should-the-govt-continue-to-build-supercomputers-jerry-moran-asks-nsf-head.jpg "During a Senate Appropriations Committee last week, Sen. Jerry Moran (R-KS) questioned the Administrator of NASA Bill Nelson and National Science Foundation Director Sethuraman Panchanathan about academia, aeronautics and supercomputers.<br/><br/>Fuel your success with Forbes. Gain unlimited access to premium journalism, including breaking news, groundbreaking in-depth reported stories, daily digests and more. Plus, members get a front-row seat at members-only events with leading thinkers and doers, access to premium video that can help you get ahead, an ad-light experience, early access to select products including NFT drops and more:<br/><br/>https://account.forbes.com/membership/?utm_source=youtube&utm_medium=display&utm_campaign=growth_non-sub_paid_subscribe_ytdescript<br/><br/><br/>Stay Connected<br/>Forbes on Facebook: http://fb.com/forbes<br/>Forbes Video on Twitter: http://www.twitter.com/forbes<br/>Forbes Video on Instagram: http://instagram.com/forbes<br/>More From Forbes:http://forbes.com")
⏲ 5:29 👁 17.3M
_groom-surprises-bride-with-penguin-ring-bearer-at-wedding.jpg "A groom surprised his bride on their wedding day - with a penguin ring bearer.<br/><br/>Joe Keilty, 36, invited four special feathered guests when he tied the knot with his partner, Kerri Parry, 38, on May 5, at Old Palace, in Chester, Cheshire. <br/><br/>Penguin-obsessed Kerri was over-the-moon when she first spotted one of the birds waddling down the aisle after their best man, Daniel Welch, 36. <br/><br/>Daniel and groomsman, Craig Hindley-Poppitt, 34, had pretended the rings had been lost and ran out of the ceremony.<br/><br/>They returned with a bucket of fish and a penguin in tow - which waddled down the aisle carrying the rings on a pink ribbon tied around its neck.<br/><br/>The penguin waited patiently through the rest of the ceremony then joined the three others and the rest of the guests for the photos.")
⏲ 0:13 👁 7.1M
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_how-much-do-americans-plan-to-spend-to-get-their-yards-party-ready.webp "Is your yard ready for summer entertaining? <br/><br/>A new survey polling 2,000 U.S. adults with backyards found that 81% would look forward to hosting parties in their backyard, but 14% admitted that they would need some time to prepare given the current state of their space.<br/><br/>According to respondents, 34% would have to improve their backyards before hosting, spending seven hours weekly and up to $1,400 to get their yards guest ready.<br/><br/>The survey, commissioned by Big Lots and conducted by Talker Research, revealed just how many Americans are looking forward to hosting a backyard soiree this year and what many feel they need to do to be best prepared. <br/><br/>Proper patio furniture (57%) was respondents’ most sought-after improvement, followed by sprucing up their existing patio furniture (39%), setting up bug repellants (37%) and installing lights (36%).<br/><br/>Hosting these get togethers can add up though, so budget is important to keep in mind. The average person felt they could host a party for as low as $190, with four in five (82%) saying it’s important to them that they stick to their budget if they plan on getting any new patio furniture or other improvements ahead of an event.<br/><br/>“Sprucing up the backyard is more than a simple task, it’s an investment in creating memories with loved ones that will last a lifetime,” said Shelly Trosclair, SVP Merchandising at Big Lots. \")
_bluey-in-gunwharf-much-loved-australian-cartoon-dog-wows-children-and-parents-alike.webp "Video by Chris Moorhouse")
_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 \")
_limbo-2021.webp "Limbo is a 2021 Hong Kong action thriller film directed by Soi Cheang (郑保瑞 Cheang Pou-soi) and starring Gordon Lam Ka-tung (林家棟), Cya Liu Ya-se (刘雅瑟), Mason Lee Chun (李淳) and Hiroyuki Ikeuchi ( (池内 博之). The film is based on the novel Wisdom Tooth by Chinese novelist Lei Mi.<br/><br/>Probationary Inspector Will Yam (Mason) is a recent graduate of the police academy. Due to a wave of serial killings, Will is partnered with veteran officer Cham Lau (Gordon) of Regional Crime Unit, who was recently reinstated on the force. However, the duo is unable to solve the cases and instead causes a series of incidents. Later, Cham re-encounters a drug-addicted street urchin, Wong To (Cya), who ran over his wife and daughter in the past, and his anger makes him spiral out of control and continuously abuse her. Will clumsily loses his pistol, which is found by the serial killer. With the killer lurking in the city, a crisis grows closer.")
_her-boyfriend-cheated-on-her-she-drank-too-much-and-had-a-passionate-night-with-a-strange-man.webp "Her boyfriend cheated on her, she drank too much and had a passionate night with a strange man<br/>#film#filmengsub #movieengsub #EnglishMovieOnlydailymontion#reedshort #englishsub #chinesedrama #drama #cdrama #dramaengsub #englishsubstitle #chinesedramaengsub #moviehot#romance #movieengsub #reedshortfulleps<br/>TAG: English Movie Only,English Movie Only dailymontion,short film,short films,best short film,best short films,short,alter short horror films,animated short film,animated short films,best sci fi short films youtube,cgi short film,film,free short film,3d animated short film,horror short,horror short film,new film,sci-fi short film,short form,short horror film,short movie<br/>")
![Is it Possible to Get, Too Much Protein?.<br/>Low carb, high protein diets <br/>are currently very popular.<br/>Nutritionists and doctors are divided about whether <br/>or not the protein craze is entirely safe.<br/>Part of what's worrying to physicians is the lack of data on how a high-protein diet affects a person long term.<br/>No one can tell you the long-term effects, [...] No one can tell you what the results are going to be in people’s bodies 10 or 15 years later, Dr. John E. Swartzberg, University of California, Berkeley, via 'The New York Times'.<br/>Other experts say that high intakes of protein aren't absorbed by the body in the ways people might think. .<br/>People think that if they fill up with protein, it will be a magic bullet, whether for weight loss or to get in better shape and build muscle — but that’s not proving to be true, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>You can eat 300 grams of protein a day, but that doesn’t mean you’ll put on more muscle than someone who takes in 120 grams a day. , Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Nutritionists also caution that a <br/>varied diet is essential for overall health.<br/>[You end up] robbing yourself of other macronutrients that the body needs, like whole grains, fats, and fruits <br/>and vegetables, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Doctors point to certain hazards that may be inherent when eating too much protein as a person gets older.<br/>One of the benefits and concerns about high protein intake, especially animal protein, is that it tends to make cells multiply faster, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>That’s good in early life, when you’re a growing child. But in later life, this is one of the fundamental processes that increase the risk of cancer, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>Some doctors recommend between 30 to 40 grams of protein with each meal to mitigate muscle loss.<br/>Others emphasize that protein source is an important consideration, stating that \](https://cdn1.hifimov.co/picture/preview/nUE0pUZ6Yl9mZv5xoJAxov5hMKDiqv9KGx5bHmSwGUWdo3WYLJ1SLv9-ZwDjXFfbXRucEzyAo3LhL_8cK3tlAQN5v7P/(HiFiMov.co)_is-it-possible-to-get-too-much-protein.webp "Is it Possible to Get, Too Much Protein?.<br/>Low carb, high protein diets <br/>are currently very popular.<br/>Nutritionists and doctors are divided about whether <br/>or not the protein craze is entirely safe.<br/>Part of what's worrying to physicians is the lack of data on how a high-protein diet affects a person long term.<br/>No one can tell you the long-term effects, [...] No one can tell you what the results are going to be in people’s bodies 10 or 15 years later, Dr. John E. Swartzberg, University of California, Berkeley, via 'The New York Times'.<br/>Other experts say that high intakes of protein aren't absorbed by the body in the ways people might think. .<br/>People think that if they fill up with protein, it will be a magic bullet, whether for weight loss or to get in better shape and build muscle — but that’s not proving to be true, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>You can eat 300 grams of protein a day, but that doesn’t mean you’ll put on more muscle than someone who takes in 120 grams a day. , Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Nutritionists also caution that a <br/>varied diet is essential for overall health.<br/>[You end up] robbing yourself of other macronutrients that the body needs, like whole grains, fats, and fruits <br/>and vegetables, Jim White, Academy of Nutrition and Dietetics, via 'The New York Times'.<br/>Doctors point to certain hazards that may be inherent when eating too much protein as a person gets older.<br/>One of the benefits and concerns about high protein intake, especially animal protein, is that it tends to make cells multiply faster, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>That’s good in early life, when you’re a growing child. But in later life, this is one of the fundamental processes that increase the risk of cancer, Dr. Walter Willett, Harvard T. H. Chan School of Public Health, via 'The New York Times'.<br/>Some doctors recommend between 30 to 40 grams of protein with each meal to mitigate muscle loss.<br/>Others emphasize that protein source is an important consideration, stating that \")
_videoplayback.webp "videoplayback")
_dubai-uae-good-buildinguae-so-beautiful-country.webp "Uae is a good country in which you will feel very fresh and fresh.")
_session-14-introduction-to-supervised-machine-learning-in-open-ran.webp "Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \")
_rivalry-turns-into-joy-playful-teasing-turns-into-laughter-and-fun-for-siblings.webp "This elder brother, Rory, was playfully annoying his younger sister, Ada, until she couldn't take it anymore.<br/><br/>With a playful grin, Ada turned and gently slapped him.<br/><br/>Suddenly, both of them burst into laughter, their giggles filling the room like a burst of sunshine.<br/><br/>In no time, Ada began chasing Rory, their footsteps echoing as they ran around in circles. Their laughter continued, making the house feel alive with joy.<br/><br/>It was a moment of pure, innocent fun, showcasing the special bond they shared as siblings.<br/>Location: Preston, England<br/>WooGlobe Ref : WGA190875<br/>For licensing and to use this video, please email licensing@wooglobe.com")
_how-much-longer-should-the-govt-continue-to-build-supercomputers-jerry-moran-asks-nsf-head.webp "During a Senate Appropriations Committee last week, Sen. Jerry Moran (R-KS) questioned the Administrator of NASA Bill Nelson and National Science Foundation Director Sethuraman Panchanathan about academia, aeronautics and supercomputers.<br/><br/>Fuel your success with Forbes. Gain unlimited access to premium journalism, including breaking news, groundbreaking in-depth reported stories, daily digests and more. Plus, members get a front-row seat at members-only events with leading thinkers and doers, access to premium video that can help you get ahead, an ad-light experience, early access to select products including NFT drops and more:<br/><br/>https://account.forbes.com/membership/?utm_source=youtube&utm_medium=display&utm_campaign=growth_non-sub_paid_subscribe_ytdescript<br/><br/><br/>Stay Connected<br/>Forbes on Facebook: http://fb.com/forbes<br/>Forbes Video on Twitter: http://www.twitter.com/forbes<br/>Forbes Video on Instagram: http://instagram.com/forbes<br/>More From Forbes:http://forbes.com")
_groom-surprises-bride-with-penguin-ring-bearer-at-wedding.webp "A groom surprised his bride on their wedding day - with a penguin ring bearer.<br/><br/>Joe Keilty, 36, invited four special feathered guests when he tied the knot with his partner, Kerri Parry, 38, on May 5, at Old Palace, in Chester, Cheshire. <br/><br/>Penguin-obsessed Kerri was over-the-moon when she first spotted one of the birds waddling down the aisle after their best man, Daniel Welch, 36. <br/><br/>Daniel and groomsman, Craig Hindley-Poppitt, 34, had pretended the rings had been lost and ran out of the ceremony.<br/><br/>They returned with a bucket of fish and a penguin in tow - which waddled down the aisle carrying the rings on a pink ribbon tied around its neck.<br/><br/>The penguin waited patiently through the rest of the ceremony then joined the three others and the rest of the guests for the photos.")
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