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Biden Celebrates Latest , Jobs Report , and Economic Gains .<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>The great American <br/>comeback continues, <br/>but we still have to <br/>make more progress, Joe Biden, President of the United States, via 'The Independent'.<br/>On my watch, 15.6 million <br/>more Americans have <br/>the dignity and respect <br/>that comes with a job. , Joe Biden, President of the United States, via 'The Independent'.<br/>Unemployment has been <br/>at or below 4% for 30 months—<br/>the longest stretch in 50 years. , Joe Biden, President of the United States, via 'The Independent'.<br/>And a record high <br/>share of working-age <br/>women have jobs, Joe Biden, President of the United States, via 'The Independent'.<br/>Despite Bureau of Labor Statistics data showing <br/>a change of only 4%, the unemployment <br/>rate exceeded economists' expectations. .<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The month of May also saw wages go <br/>up by 0.4%, contributing to a 4.1% <br/>increase since the same time in 2023.<br/>'The Independent' reports that the increase <br/>in wages means that workers' earnings <br/>have now outpaced inflation.<br/>According to BLS data, <br/>the consumer price index <br/>increased by 3.4% in the past year
⏲ 1:31 👁 235K
CEO Pay Continued to Rise in 2023, , Widening the Income Gap , Between Executives and Workers.<br/>'The Independent' reports that the typical CEO <br/>compensation for S&P companies continues to<br/>increase, outpacing wages for average workers.<br/>The Associated Press released its annual analysis of <br/>CEO pay, which takes into account salaries, bonuses, <br/>perks and other pay components, like stock awards.<br/>According to the data, median CEO pay jumped almost <br/>13% in 2023, over three times more than the 4.1% increase <br/>to wages and benefits for private-sector workers.<br/>The median pay package for CEO's in 2023 <br/>was up 12.6% from 2022, reaching $16.3 million.<br/>With $16.3 million representing the midpoint, approximately half of the S&P 500 CEOs <br/>included in the survey earned even more.<br/>According to the survey, the income gap <br/>was even wider at companies where<br/>workers earn lower wages, like retail.<br/>'The Independent' uses Ross Stores as an example, where <br/>the average worker earning $8,618 would take 2,100 years <br/>to earn as much as CEO Barbara Rentler made in 2023.<br/>'The Independent' uses Ross Stores as an example, where <br/>the average worker earning $8,618 would take 2,100 years <br/>to earn as much as CEO Barbara Rentler made in 2023.<br/>At the top of the AP data was Broadcom Inc. <br/>CEO Hock Tan, who took home a 2023 <br/>pay package worth an estimated $162 million.<br/>At the top of the AP data was Broadcom Inc. <br/>CEO Hock Tan, who took home a 2023 <br/>pay package worth an estimated $162 million.<br/>In addition to the widening gap between <br/>employees and CEOs, the survey also <br/>highlighted the persistence of gender inequality. .<br/>The highest paid female on the list was Lisa Su, <br/>the CEO and chair of the board for Advanced Micro <br/>Devices, with a total compensation of $30.3 million. .<br/>The highest paid female on the list was Lisa Su, <br/>the CEO and chair of the board for Advanced Micro <br/>Devices, with a total compensation of $30.3 million.
⏲ 1:30 👁 15.7M
Your Quaries:-<br/><br/>At great heights, people engage in various activities, often driven by work, adventure, or scientific research. Construction workers on skyscrapers and bridges perform high-altitude tasks, securing steel beams, welding, and installing glass panes while adhering to stringent safety protocols. Climbers and mountaineers, driven by a sense of adventure and the challenge of conquering peaks, scale mountains like Everest, enduring harsh weather and thin air. Pilots and flight attendants operate commercial aircraft, ensuring safe travel for passengers thousands of feet above the ground. Researchers and meteorologists use high-altitude balloons, drones, and planes to gather data on atmospheric conditions, contributing to weather forecasting and climate studies. In tall observatories, astronomers peer into the cosmos, free from the interference of ground-level light pollution. Extreme sports enthusiasts participate in activities like skydiving, base jumping, and paragliding, seeking thrills and adrenaline rushes. At such heights, whether for work, research, or recreation, people rely on specialized training, equipment, and safety measures to navigate and thrive in these elevated environments.
⏲ 4:40 👁 85K
How to make Battery #science #project #model #experiment <br/><br/>science project, science project ideas, science project for kids, science project working model, science project for class 6, science project for class 10, science project solar system, science project easy, science project for class 8, science project for class 7, science project electricity, science project for class 9, science project for class 5, science project car, science project for class 4, science projectand, science project and explanation, science project and experiment, science project and explain, science project andaman and nicobar, science project and speech, science project and, science project and models, science project and working model, science project and their information, science project and reason, science project andaman and nicobar class 9, science project and technology, science project and water, science project and fun class 10
⏲ 2:58 👁 80K
Finance Minister II Datuk Seri Amir Hamzah Azizan told a press conference on Sunday that the monthly RM200 Budi Madani cash assistance should be sufficient to off-set the increase in the price of diesel for most Malaysians as it is to cover 80% of diesel vehicle owners based on consumption patterns from Statistics Department data.<br/><br/>Read more at https://shorturl.at/nOGIf<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline
⏲ 4:35 👁 80K
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
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
Students and faculty at the University of Toronto held a ceremony on Monday (June 03) for Palestinian victims of the war in Gaza who they said will never be able to graduate themselves.<br/><br/>Chandni Desai, assistant professor at the University of Toronto, told Reuters the students are asking the university to disclose and to divest from weapons companies whose bombs have killed many of Gaza’s students.<br/><br/>All 12 of Gaza's higher education institutions have been destroyed or damaged by Israel, leaving nearly 90,000 students stranded, and more than 350 teachers and academics had been killed as of May 13, according to Palestinian official data.<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline
⏲ 2:59 👁 3M
Brock Harvey's 10 goals v Maryborough - round 6, 2024. Video by Premier Data
⏲ 3:27 👁 295K
The Conservatives have a significant lead in the polls in Sevenoaks, but is the historically tory safe seat more at risk than the data is letting on?
⏲ 3:7 👁 825K
As top-level professional sports continue to battle on-field homophobic incidents, local sporting clubs have been warned they risk losing a generation of players unless they commit to reducing discrimination.
⏲ 2:41 👁 35K
Clinical-stage biopharmaceutical company Candel Therapeutics, Inc., reported updated survival data from its randomized phase 2 clinical trial of CAN-2409 in borderline resectable pancreatic cancer. Pancreatic cancer is the fourth leading cause of cancer-related death in the U.S. The disease accounts for approximately 3% of all cancers, with an estimated 64,050 patients diagnosed in 2023.
⏲ 11:6 👁 420K
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