Nature is the primary source of inspiration for many existing robotic systems, designed to replicate the appearance and behavior of various living organisms. By artificially reproducing biological processes, these robots can help tackle complex real-world problems more effectively.Nature is the primary source of inspiration for many existing robotic systems, designed to replicate the appearance and behavior of various living organisms. By artificially reproducing biological processes, these robots can help tackle complex real-world problems more effectively.[#item_full_content]

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.[#item_full_content]

Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these networks to analyze chemical data and identify promising chemicals for various applications.Computer Sciences[#item_full_content]

From computer-generated “extras” to AI “zombies,” new restrictions against the use of artificial intelligence in Hollywood were set out by the actors’ union Friday.From computer-generated “extras” to AI “zombies,” new restrictions against the use of artificial intelligence in Hollywood were set out by the actors’ union Friday.Machine learning & AI[#item_full_content]

Europe’s hope to rival OpenAI, Aleph Alpha, may have just raised close to 500 million euros ($534 million) from investors this week, but its co-founder said Friday the start-up was in a battle to even survive.Europe’s hope to rival OpenAI, Aleph Alpha, may have just raised close to 500 million euros ($534 million) from investors this week, but its co-founder said Friday the start-up was in a battle to even survive.Machine learning & AI[#item_full_content]

Actuators, which convert electrical energy into motion or force, play a pivotal role in daily life, albeit often going unnoticed. Soft material-based actuators, in particular, have gained scientific attention in recent years due to their lightweight, quiet operation, and biodegradability. A straightforward approach to creating soft actuators involves employing multi-material structures, such as “pockets” made of flexible plastic films filled with oils and coated with conductive plastics.Actuators, which convert electrical energy into motion or force, play a pivotal role in daily life, albeit often going unnoticed. Soft material-based actuators, in particular, have gained scientific attention in recent years due to their lightweight, quiet operation, and biodegradability. A straightforward approach to creating soft actuators involves employing multi-material structures, such as “pockets” made of flexible plastic films filled with oils and coated with conductive plastics.[#item_full_content]

Over the past decade, AI has permeated nearly every corner of science: Machine learning models have been used to predict protein structures, estimate the fraction of the Amazon rainforest that has been lost to deforestation and even classify faraway galaxies that might be home to exoplanets.Over the past decade, AI has permeated nearly every corner of science: Machine learning models have been used to predict protein structures, estimate the fraction of the Amazon rainforest that has been lost to deforestation and even classify faraway galaxies that might be home to exoplanets.Machine learning & AI[#item_full_content]

Most anyone who’s used noise-canceling headphones knows that hearing the right noise at the right time can be vital. Someone might want to erase car horns when working indoors, but not when walking along busy streets. Yet people can’t choose what sounds their headphones cancel.Most anyone who’s used noise-canceling headphones knows that hearing the right noise at the right time can be vital. Someone might want to erase car horns when working indoors, but not when walking along busy streets. Yet people can’t choose what sounds their headphones cancel.Consumer & Gadgets[#item_full_content]

As the electric vehicle market continues to surge, the assessment of used batteries has become increasingly crucial. A team of researchers, led by Professor Donghyuk Kim and Professor Yunseok Choi in the School of Energy and Chemical Engineering at UNIST, along with Professor Hankwon Lim of the Graduate School of Carbon Neutrality at UNIST, has developed DeepSUGAR to help with this challenge.As the electric vehicle market continues to surge, the assessment of used batteries has become increasingly crucial. A team of researchers, led by Professor Donghyuk Kim and Professor Yunseok Choi in the School of Energy and Chemical Engineering at UNIST, along with Professor Hankwon Lim of the Graduate School of Carbon Neutrality at UNIST, has developed DeepSUGAR to help with this challenge.Energy & Green Tech[#item_full_content]

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