The wide availability of wearable sensors allows for rich data collection on a person’s walking patterns, providing valuable health insights. But factors like location, terrain or the built environment alter walking behavior, making data difficult to interpret without context.The wide availability of wearable sensors allows for rich data collection on a person’s walking patterns, providing valuable health insights. But factors like location, terrain or the built environment alter walking behavior, making data difficult to interpret without context.Engineering[#item_full_content]

Soft robots use pliant materials such as elastomers to interact safely with the human body and other challenging, delicate objects and environments. A team of Rice University researchers has developed an analytical model that can predict the curing time of platinum-catalyzed silicone elastomers as a function of temperature. The model could help reduce energy waste and improve throughput for elastomer-based component manufacturing.Soft robots use pliant materials such as elastomers to interact safely with the human body and other challenging, delicate objects and environments. A team of Rice University researchers has developed an analytical model that can predict the curing time of platinum-catalyzed silicone elastomers as a function of temperature. The model could help reduce energy waste and improve throughput for elastomer-based component manufacturing.[#item_full_content]

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI).Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI).Machine learning & AI[#item_full_content]

In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.Robotics[#item_full_content]

In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.In recent years, roboticists and computer scientists have been trying to develop increasingly efficient methods to teach robots new skills. Many of the methods developed so far, however, require a large amount of training data, such as annotated human demonstrations of how to perform a task.[#item_full_content]

For people at the trend-setting tech festival here, the scandal that erupted after Google’s Gemini chatbot cranked out images of Black and Asian Nazi soldiers was seen as a warning about the power artificial intelligence can give tech titans.For people at the trend-setting tech festival here, the scandal that erupted after Google’s Gemini chatbot cranked out images of Black and Asian Nazi soldiers was seen as a warning about the power artificial intelligence can give tech titans.Internet[#item_full_content]

Researchers at University of Michigan recently developed SKOOTR, a tri-pedal skating robot that can efficiently move around in its surroundings without repeatedly flipping over. This robot, introduced in a paper posted to the preprint server arXiv, was found to be more stable than other three-legged robots, which often exhibit poor stability due to the lack of a fourth leg to better balance their body.Researchers at University of Michigan recently developed SKOOTR, a tri-pedal skating robot that can efficiently move around in its surroundings without repeatedly flipping over. This robot, introduced in a paper posted to the preprint server arXiv, was found to be more stable than other three-legged robots, which often exhibit poor stability due to the lack of a fourth leg to better balance their body.[#item_full_content]

In a new study published in the Journal of Remote Sensing in February 2024, researchers utilized data augmentation alongside the LightGBM machine learning model for the estimation of both diffuse and direct solar radiation. By leveraging sunshine duration data collected from over 2,453 weather stations throughout China, this research overcomes the limitations posed by sparse and unevenly distributed ground-based observations.In a new study published in the Journal of Remote Sensing in February 2024, researchers utilized data augmentation alongside the LightGBM machine learning model for the estimation of both diffuse and direct solar radiation. By leveraging sunshine duration data collected from over 2,453 weather stations throughout China, this research overcomes the limitations posed by sparse and unevenly distributed ground-based observations.Energy & Green Tech[#item_full_content]

G7 technology ministers meeting in Italy pledged Friday to “achieve a common vision and goal of safe, secure, and trustworthy” artificial intelligence, but said the framework could vary between countries.G7 technology ministers meeting in Italy pledged Friday to “achieve a common vision and goal of safe, secure, and trustworthy” artificial intelligence, but said the framework could vary between countries.Machine learning & AI[#item_full_content]

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