Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some form or the other, very few fully understand their functioning and underlying processes.Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some form or the other, very few fully understand their functioning and underlying processes.[#item_full_content]

Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some form or the other, very few fully understand their functioning and underlying processes.Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some form or the other, very few fully understand their functioning and underlying processes.Computer Sciences[#item_full_content]

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer.Hardware[#item_full_content]

Researcher Benedikte Wallace set out to teach a computer how to dance. She ended up gaining new insight into how artificial intelligence (AI) can be used in creative practice.Researcher Benedikte Wallace set out to teach a computer how to dance. She ended up gaining new insight into how artificial intelligence (AI) can be used in creative practice.Hi Tech & Innovation[#item_full_content]

Using artificial intelligence applications to help craft a message to a friend is not a good idea—at least if your friend finds out about the use of AI, a new study suggests.Using artificial intelligence applications to help craft a message to a friend is not a good idea—at least if your friend finds out about the use of AI, a new study suggests.Machine learning & AI[#item_full_content]

If you have watched a telecast involving basketball superstar LeBron James during the past 20 years, you probably have heard an announcer declare: “You can’t stop him, you can only hope to contain him.” That sentiment sums up how Inflection.ai CEO Mustafa Suleyman feels about artificial intelligence—a technology that he helped advance as a co-founder of DeepMind, which Google acquired in 2014.If you have watched a telecast involving basketball superstar LeBron James during the past 20 years, you probably have heard an announcer declare: “You can’t stop him, you can only hope to contain him.” That sentiment sums up how Inflection.ai CEO Mustafa Suleyman feels about artificial intelligence—a technology that he helped advance as a co-founder of DeepMind, which Google acquired in 2014.Other[#item_full_content]

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