An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection.Automotive[#item_full_content]

Normally, when we think of a rolling object, we tend to imagine a torus (like a bicycle wheel) or a sphere (like a tennis ball) that will always follow a straight path when rolling. However, the world of mathematics and science is always open to exploring new ideas and concepts. This is why researchers have been studying shapes, like oloids, sphericons and more, which do not roll in straight lines.Normally, when we think of a rolling object, we tend to imagine a torus (like a bicycle wheel) or a sphere (like a tennis ball) that will always follow a straight path when rolling. However, the world of mathematics and science is always open to exploring new ideas and concepts. This is why researchers have been studying shapes, like oloids, sphericons and more, which do not roll in straight lines.[#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.[#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]

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