In the iconic Star Wars series, captain Han Solo and humanoid droid C-3PO boast drastically contrasting personalities. Driven by emotions and swashbuckling confidence, Han Solo often ignores C-3PO’s logic-driven caution. That human-droid relationship is exemplified in Solo’s famous statement, “Never tell me the odds!” as he dismisses C-3PO’s advice against navigating an asteroid field with a 3,720-to-1 chance of survival, odds that had been painstakingly calculated by the shiny sidekick.In the iconic Star Wars series, captain Han Solo and humanoid droid C-3PO boast drastically contrasting personalities. Driven by emotions and swashbuckling confidence, Han Solo often ignores C-3PO’s logic-driven caution. That human-droid relationship is exemplified in Solo’s famous statement, “Never tell me the odds!” as he dismisses C-3PO’s advice against navigating an asteroid field with a 3,720-to-1 chance of survival, odds that had been painstakingly calculated by the shiny sidekick.Business[#item_full_content]
Tencent wants to bring artificial intelligence agents into its WeChat social media app, the Chinese tech firm’s president said on Wednesday, a move that could change how hundreds of millions of users interact with the platform in the Asian nation and beyond.Tencent wants to bring artificial intelligence agents into its WeChat social media app, the Chinese tech firm’s president said on Wednesday, a move that could change how hundreds of millions of users interact with the platform in the Asian nation and beyond.Business[#item_full_content]
In a survey study of U.S. teens, more than half (55.3%) reported that they had created at least one image using nudification tools, which use generative artificial intelligence (GenAI) to show what an individual may look like without clothing. Chad Steel of George Mason University, Virginia, U.S., presents these findings in the open-access journal PLOS One.In a survey study of U.S. teens, more than half (55.3%) reported that they had created at least one image using nudification tools, which use generative artificial intelligence (GenAI) to show what an individual may look like without clothing. Chad Steel of George Mason University, Virginia, U.S., presents these findings in the open-access journal PLOS One.Internet[#item_full_content]
A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, according to a new report in academic journal Scientific Reports. It’s the most comprehensive artificial intelligence system yet for detecting fake news in Urdu, the world’s 10th most spoken language with more than 170 million speakers worldwide.A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, according to a new report in academic journal Scientific Reports. It’s the most comprehensive artificial intelligence system yet for detecting fake news in Urdu, the world’s 10th most spoken language with more than 170 million speakers worldwide.Security[#item_full_content]
While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user’s minor habits or previous conversational contexts. This is why AI, despite being deeply integrated into our daily lives, can still feel like a “stranger.” Overcoming these limitations, researchers at KAIST, led by Professor Hoi-Jun Yoo from the Graduate School of AI Semiconductors, have developed the world’s first AI semiconductor, dubbed “SoulMate,” which learns and adapts to a user’s speech style, preferences, and emotions in real-time—becoming a true “digital soulmate.”While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user’s minor habits or previous conversational contexts. This is why AI, despite being deeply integrated into our daily lives, can still feel like a “stranger.” Overcoming these limitations, researchers at KAIST, led by Professor Hoi-Jun Yoo from the Graduate School of AI Semiconductors, have developed the world’s first AI semiconductor, dubbed “SoulMate,” which learns and adapts to a user’s speech style, preferences, and emotions in real-time—becoming a true “digital soulmate.”Consumer & Gadgets[#item_full_content]
Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.[#item_full_content]
Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.[#item_full_content]
The rapid proliferation of robots and electronic devices is placing the world under a new and growing environmental burden. According to the United Nations Institute for Training and Research (UNITAR), global electronic waste (e-waste) reached approximately 62 million metric tons in 2022, a significant portion of which was neither properly collected nor recycled but instead landfilled or incinerated.The rapid proliferation of robots and electronic devices is placing the world under a new and growing environmental burden. According to the United Nations Institute for Training and Research (UNITAR), global electronic waste (e-waste) reached approximately 62 million metric tons in 2022, a significant portion of which was neither properly collected nor recycled but instead landfilled or incinerated.[#item_full_content]
Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in the International Journal of Reasoning-based Intelligent Systems shows how artificial intelligence (AI) might be able to carry out real-time traffic forecasting and provide a way for the authorities to manage our road networks better.Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in the International Journal of Reasoning-based Intelligent Systems shows how artificial intelligence (AI) might be able to carry out real-time traffic forecasting and provide a way for the authorities to manage our road networks better.Automotive[#item_full_content]
For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their surroundings directly through their own body shape and autonomously adapt to rapidly changing fluid flows. The study, now published in Science Advances, establishes a new paradigm for autonomous microsystems whose control functions reliably in challenging environments where conventional sensors fail. This opens up new prospects for autonomous medical microrobots, for example for the targeted delivery of medication in the bloodstream.For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their surroundings directly through their own body shape and autonomously adapt to rapidly changing fluid flows. The study, now published in Science Advances, establishes a new paradigm for autonomous microsystems whose control functions reliably in challenging environments where conventional sensors fail. This opens up new prospects for autonomous medical microrobots, for example for the targeted delivery of medication in the bloodstream.[#item_full_content]
