Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in place to riding on a single wheel or hopping over obstacles. Reproducing these agile maneuvers in two-wheeled robots could open new opportunities both for entertainment or robot sports and for the completion of complex missions in rough terrain.Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in place to riding on a single wheel or hopping over obstacles. Reproducing these agile maneuvers in two-wheeled robots could open new opportunities both for entertainment or robot sports and for the completion of complex missions in rough terrain.Robotics[#item_full_content]

Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in place to riding on a single wheel or hopping over obstacles. Reproducing these agile maneuvers in two-wheeled robots could open new opportunities both for entertainment or robot sports and for the completion of complex missions in rough terrain.Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in place to riding on a single wheel or hopping over obstacles. Reproducing these agile maneuvers in two-wheeled robots could open new opportunities both for entertainment or robot sports and for the completion of complex missions in rough terrain.[#item_full_content]

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate the brain processes via which humans understand spoken language, however, has not yet been clearly determined.Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate the brain processes via which humans understand spoken language, however, has not yet been clearly determined.[#item_full_content]

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate the brain processes via which humans understand spoken language, however, has not yet been clearly determined.Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate the brain processes via which humans understand spoken language, however, has not yet been clearly determined.Computer Sciences[#item_full_content]

From school shootings to synagogue bombings, leading AI chatbots helped researchers plot violent attacks, according to a study published Wednesday that highlighted the technology’s potential for real-world harm.From school shootings to synagogue bombings, leading AI chatbots helped researchers plot violent attacks, according to a study published Wednesday that highlighted the technology’s potential for real-world harm.Machine learning & AI[#item_full_content]

Art has been around for centuries, but in the age of artificial intelligence, one University of Houston researcher is examining whether generative AI helps or hurts creativity. Jinghui Hou, lead author and assistant professor in the C. T. Bauer College of Business, began researching AI’s impact on creativity when the applications first became popular. Hou and her team recently analyzed the nuances of how generative AI can influence creativity, depending on the context, in a paper published in Information Systems Research.Art has been around for centuries, but in the age of artificial intelligence, one University of Houston researcher is examining whether generative AI helps or hurts creativity. Jinghui Hou, lead author and assistant professor in the C. T. Bauer College of Business, began researching AI’s impact on creativity when the applications first became popular. Hou and her team recently analyzed the nuances of how generative AI can influence creativity, depending on the context, in a paper published in Information Systems Research.Machine learning & AI[#item_full_content]

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify safety issues before they impact critical applications, Johns Hopkins researchers have developed a renewable and sustainable framework for evaluating LLMs that simplifies different types of attacks into high-quality, easily updatable safety tests—all while requiring minimal human effort to run.As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify safety issues before they impact critical applications, Johns Hopkins researchers have developed a renewable and sustainable framework for evaluating LLMs that simplifies different types of attacks into high-quality, easily updatable safety tests—all while requiring minimal human effort to run.Machine learning & AI[#item_full_content]

Artificial intelligence-powered writing tools such as autocomplete suggestions can definitely change the way people express themselves, but can they also change how they think? Cornell Tech researchers think so.Artificial intelligence-powered writing tools such as autocomplete suggestions can definitely change the way people express themselves, but can they also change how they think? Cornell Tech researchers think so.Consumer & Gadgets[#item_full_content]

Inspired by the infrared sensory organs of snakes, which allow them to detect prey in complete darkness, researchers at UNIST have harnessed artificial intelligence (AI) to develop a sensor material that significantly enhances thermal detection capabilities. This advancement promises to elevate the performance of next-generation infrared cameras, night-vision systems for vehicles, and various applications requiring sensitive thermal sensing.Inspired by the infrared sensory organs of snakes, which allow them to detect prey in complete darkness, researchers at UNIST have harnessed artificial intelligence (AI) to develop a sensor material that significantly enhances thermal detection capabilities. This advancement promises to elevate the performance of next-generation infrared cameras, night-vision systems for vehicles, and various applications requiring sensitive thermal sensing.Hi Tech & Innovation[#item_full_content]

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