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]

In the midst of the co-development of artificial intelligence and robotic advancements, developing technologies that enable robots to efficiently perceive and respond to their surroundings like humans has become a crucial task. In this context, Korean researchers are gaining attention for newly implementing an artificial sensory nervous system that mimics the sensory nervous system of living organisms without the need for separate complex software or circuitry. This breakthrough technology is expected to be applied in fields such as in ultra-small robots and robotic prosthetics, where intelligent and energy-efficient responses to external stimuli are essential.In the midst of the co-development of artificial intelligence and robotic advancements, developing technologies that enable robots to efficiently perceive and respond to their surroundings like humans has become a crucial task. In this context, Korean researchers are gaining attention for newly implementing an artificial sensory nervous system that mimics the sensory nervous system of living organisms without the need for separate complex software or circuitry. This breakthrough technology is expected to be applied in fields such as in ultra-small robots and robotic prosthetics, where intelligent and energy-efficient responses to external stimuli are essential.Robotics[#item_full_content]