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AWS spurs Machine Learning research with free lab, $10M scholarship

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Amazon Web Services (AWS) this week announced a public preview of the SageMaker Studio Lab. AWS also announced an Artificial Intelligence and Machine Learning Scholarship. The new $10 million program will prepare underrepresented and disadvantaged students globally for careers in machine learning. The announcements came during this week’s AWS re: Invent event.

AWS hopes that SageMaker Studio Lab will attract developers, academics, and data scientists to learn and experiment with machine learning (ML).

“With Amazon SageMaker Studio Lab, Amazon SageMaker Studio Lab customers will be able to focus on experimenting with the data science aspect of machine learning, without having to set up or configure any infrastructure,” AWS said.

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SageMaker Studio Lab is based on the open source JupyterLab web application. JupyterLab is an interactive web-based development environment for laptops, code, and data.

“… Clients have a completely open environment that enables them to take advantage of any framework, such as Pytorch, TensorFlow, MxNet or Hugging Face, and libraries such as SciKitLearn, NumPy and Pandas. Studio Lab has autosave capabilities that will automatically save clients’ user sessions, even They can pick up where they left off in the next user session. Another benefit of SageMaker Studio Lab is its integration with Github allowing customers to open, view, edit and run any laptop, as well as integration with Git, an open source distributed version control system,” he said. AWS.

Labor market settlement

AWS noted the need for better diversity and representation in the areas of artificial intelligence and machine learning. To that end, the company has created a $10 million scholarship and educational program. AWS wants to help provide disadvantaged and underrepresented students the opportunity to learn and enter this growing job market. AWS also works with Intel and Udacity to provide students from around the world with free training and tutorials.

“In addition to no-cost access to dozens of hours of free machine learning model training and learning materials, 2,000 eligible students from underrepresented and underrepresented communities will win an AI programming scholarship with the Python Udacity Nanodegree, designed to give scholarship recipients programming tools and techniques essential for learning Alumni of the first Nanodegree program will be invited for a technical assessment Five hundred students with the highest scores in that assessment will receive a second Udacity Nanodegree Scholarship on Deep Learning and Machine Learning Engineering to help prepare them further for a career in artificial intelligence and machine learning. These students will be made available The Top 500 also access mentorship opportunities from designated Amazon and Intel technology experts for professional insights and advice,” the company said.

Growing need for ML experience

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ML and Artificial Intelligence (AI) are rapidly expanding markets, according to market research from Million Insights. The company forecasts a global market value of US$96.7 billion through 2025. Together with a compound annual growth rate of 43.8% projected to 2025.

More help is needed with ML and AI, especially in the field of communications. Both ML and AI are critical to operators now and in the future. RAN classification, network function virtualization, and cloud-native network functionality strategies are based on machine learning automation and artificial intelligence.

ML solutions are in development at Vodafone, which partnered with Nokia over the summer to use ML to detect and correct anomalies before they affect customers. Vodafone said ML technology will help reduce congestion, interference and unexpected latency. This will also reduce the difficulty of handing over calls between different cells or failure of the connection setup. Vodafone expects to automatically detect and handle 80% of all abnormal mobile network and capacity requirements.

AT&T and Ericsson have created and delivered a live 3D music performance for augmented reality using 5G, edge computing, and ML. Artist Axel Mansour, of NBC’s Songland, gave a virtual show to 20 fans. The companies said it was an important step towards 3D communication technology powered by 5G.

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