Voice assistants such as Alexa are often marketed as smart tools that streamline everyday life. But once the technology moves into people’s homes, interest quickly fades. This is shown by new research in which laughter is used as a key to understanding how people actually use—and understand—artificial intelligence in everyday life. The paper is published in the Proceedings of the 13th International Conference on Human-Agent Interaction.Voice assistants such as Alexa are often marketed as smart tools that streamline everyday life. But once the technology moves into people’s homes, interest quickly fades. This is shown by new research in which laughter is used as a key to understanding how people actually use—and understand—artificial intelligence in everyday life. The paper is published in the Proceedings of the 13th International Conference on Human-Agent Interaction.Consumer & Gadgets[#item_full_content]

Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from MIT and Penn State University found that, over long conversations, such personalization features often increase the likelihood an LLM will become overly agreeable or begin mirroring the individual’s point of view.Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from MIT and Penn State University found that, over long conversations, such personalization features often increase the likelihood an LLM will become overly agreeable or begin mirroring the individual’s point of view.Consumer & Gadgets[#item_full_content]

Users around the world have rushed to adopt artificial intelligence—especially in safety-critical fields—but a new study has revealed the hype has prioritized technology for technology’s sake instead of human-centered development. The study, “eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and Sensing,” was published in Sensors.Users around the world have rushed to adopt artificial intelligence—especially in safety-critical fields—but a new study has revealed the hype has prioritized technology for technology’s sake instead of human-centered development. The study, “eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and Sensing,” was published in Sensors.Machine learning & AI[#item_full_content]

Farmer Bir Virk tapped the iPad mounted beside his tractor’s steering wheel and switched the vehicle to automatic mode. The machine moved forward and began harvesting potatoes on its own in the fields of Karnal, a city in northern India.Farmer Bir Virk tapped the iPad mounted beside his tractor’s steering wheel and switched the vehicle to automatic mode. The machine moved forward and began harvesting potatoes on its own in the fields of Karnal, a city in northern India.Hi Tech & Innovation[#item_full_content]

US artificial intelligence chip titan Nvidia unveiled tie-ups with Indian computing firms on Wednesday as tech companies rushed to announce deals and investments at a global AI conference in New Delhi.US artificial intelligence chip titan Nvidia unveiled tie-ups with Indian computing firms on Wednesday as tech companies rushed to announce deals and investments at a global AI conference in New Delhi.Business[#item_full_content]

Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become unavailable indoors. To operate safely and efficiently, robots must interpret their surroundings using onboard sensors and robust localization algorithms.Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become unavailable indoors. To operate safely and efficiently, robots must interpret their surroundings using onboard sensors and robust localization algorithms.Robotics[#item_full_content]

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism design—the art of assembling linkages and joints to create machines with prescribed motion—is one of the quintessential activities of mechanical engineers, but has resisted automation for almost two centuries.Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism design—the art of assembling linkages and joints to create machines with prescribed motion—is one of the quintessential activities of mechanical engineers, but has resisted automation for almost two centuries.Engineering[#item_full_content]

Human hands are a wonder of nature and unmatched in the animal kingdom. They can twist caps, flick switches, handle tiny objects with ease, and perform thousands of tasks every day. Robot hands struggle to keep up. They typically miss the sense of touch, can’t move many fingers at once, and lose track of what they are holding when their fingers block their camera’s view. Scientists have now developed a smarter way to train a robot’s brain to give its hands human-like dexterity.Human hands are a wonder of nature and unmatched in the animal kingdom. They can twist caps, flick switches, handle tiny objects with ease, and perform thousands of tasks every day. Robot hands struggle to keep up. They typically miss the sense of touch, can’t move many fingers at once, and lose track of what they are holding when their fingers block their camera’s view. Scientists have now developed a smarter way to train a robot’s brain to give its hands human-like dexterity.Robotics[#item_full_content]