MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items. Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches.MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by “seeing” through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items. Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches.Robotics[#item_full_content]

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting the same prompt multiple times to see if the model generates the same answer. But this method measures self-confidence, and even the most impressive LLM might be confidently wrong. Overconfidence can mislead users about the accuracy of a prediction, which might result in devastating consequences in high-stakes settings like health care or finance.Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting the same prompt multiple times to see if the model generates the same answer. But this method measures self-confidence, and even the most impressive LLM might be confidently wrong. Overconfidence can mislead users about the accuracy of a prediction, which might result in devastating consequences in high-stakes settings like health care or finance.Computer Sciences[#item_full_content]

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]

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]

It’s a familiar feeling: You start a text message, and your phone’s autocomplete function suggests several choices for the next word, ranging from banal to hilarious. “I love…” you, or coffee? Or you’re finishing an email, and merely typing the word “Let” prompts your app to suggest “Let me know if you have any questions” in light gray text.It’s a familiar feeling: You start a text message, and your phone’s autocomplete function suggests several choices for the next word, ranging from banal to hilarious. “I love…” you, or coffee? Or you’re finishing an email, and merely typing the word “Let” prompts your app to suggest “Let me know if you have any questions” in light gray text.Consumer & Gadgets[#item_full_content]

New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems can assist developers. As Large Language Models (LLMs) are increasingly incorporated into software development, developers have struggled to ensure that AI-generated responses are accurate, consistent, and easy to integrate into larger development workflows.New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems can assist developers. As Large Language Models (LLMs) are increasingly incorporated into software development, developers have struggled to ensure that AI-generated responses are accurate, consistent, and easy to integrate into larger development workflows.Software[#item_full_content]