While roboticists have introduced increasingly advanced systems over the past decades, most existing robots are not yet able to manipulate objects with the same dexterity and sensing ability as humans. This, in turn, adversely impacts their performance in various real-world tasks, ranging from household chores to the clearing of rubble after natural disasters and the assembly or performing maintenance tasks, particularly in high-temperature working environments such as steel mills and foundries, where elevated temperatures can significantly degrade performance and compromise the precision required for safe operations.While roboticists have introduced increasingly advanced systems over the past decades, most existing robots are not yet able to manipulate objects with the same dexterity and sensing ability as humans. This, in turn, adversely impacts their performance in various real-world tasks, ranging from household chores to the clearing of rubble after natural disasters and the assembly or performing maintenance tasks, particularly in high-temperature working environments such as steel mills and foundries, where elevated temperatures can significantly degrade performance and compromise the precision required for safe operations.[#item_full_content]

A cheetah’s powerful sprint, a snake’s lithe slither, or a human’s deft grasp: Each is made possible by the seamless interplay between soft and rigid tissues. Muscles, tendons, ligaments, and bones work together to provide the energy, precision, and range of motion needed to perform the complex movements seen throughout the animal kingdom.A cheetah’s powerful sprint, a snake’s lithe slither, or a human’s deft grasp: Each is made possible by the seamless interplay between soft and rigid tissues. Muscles, tendons, ligaments, and bones work together to provide the energy, precision, and range of motion needed to perform the complex movements seen throughout the animal kingdom.[#item_full_content]

Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Robotics[#item_full_content]

Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.Today’s robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically “grow,” “heal,” and improve themselves by integrating material from their environment or from other robots.[#item_full_content]

Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Just as people from different countries speak different languages, AI models also create various internal “languages”—a unique set of tokens understood only by each model. Until recently, there was no way for models developed by different companies to communicate directly, collaborate or combine their strengths to improve performance.Machine learning & AI[#item_full_content]

Large language models (LLMs) sometimes lose confidence when answering questions and abandon correct answers, according to a new study by researchers at Google DeepMind and University College London.Large language models (LLMs) sometimes lose confidence when answering questions and abandon correct answers, according to a new study by researchers at Google DeepMind and University College London.Machine learning & AI[#item_full_content]

As more and more sectors experiment with artificial intelligence, one of the areas that has most quickly adopted this new technology is law enforcement. It’s led to some problematic growing pains, from false arrests to concerns around facial recognition.As more and more sectors experiment with artificial intelligence, one of the areas that has most quickly adopted this new technology is law enforcement. It’s led to some problematic growing pains, from false arrests to concerns around facial recognition.Consumer & Gadgets[#item_full_content]

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