Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Robotics[#item_full_content]

Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Machine learning & AI[#item_full_content]

From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.Security[#item_full_content]

The effectiveness of teamwork in professional and academic environments typically depends on various factors, including communication and coordinated attention. In this context, collective attention entails the ability of team members to cooperatively focus on the task at hand, optimally dividing it into subtasks and alternating their efforts to complete it as efficiently as possible.The effectiveness of teamwork in professional and academic environments typically depends on various factors, including communication and coordinated attention. In this context, collective attention entails the ability of team members to cooperatively focus on the task at hand, optimally dividing it into subtasks and alternating their efforts to complete it as efficiently as possible.Business[#item_full_content]

A quote from Wyoming’s governor and a local prosecutor were the first things that seemed slightly off to Powell Tribune reporter CJ Baker. Then, it was some of the phrases in the stories that struck him as nearly robotic.A quote from Wyoming’s governor and a local prosecutor were the first things that seemed slightly off to Powell Tribune reporter CJ Baker. Then, it was some of the phrases in the stories that struck him as nearly robotic.Business[#item_full_content]

Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack.Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack.Engineering[#item_full_content]

Machine-generated text has been fooling humans for the last four years. Since the release of GPT-2 in 2019, large language model (LLM) tools have gotten progressively better at crafting stories, news articles, student essays and more, to the point that humans are often unable to recognize when they are reading text produced by an algorithm.Machine-generated text has been fooling humans for the last four years. Since the release of GPT-2 in 2019, large language model (LLM) tools have gotten progressively better at crafting stories, news articles, student essays and more, to the point that humans are often unable to recognize when they are reading text produced by an algorithm.Computer Sciences[#item_full_content]

New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation. The study is published in 2024 IEEE International Conference on Robotics and Automation (ICRA).New research from the University of Massachusetts Amherst shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation. The study is published in 2024 IEEE International Conference on Robotics and Automation (ICRA).Robotics[#item_full_content]

The students—most with gray hair, some with canes, all at least in their 60s—couldn’t believe what they were hearing.The students—most with gray hair, some with canes, all at least in their 60s—couldn’t believe what they were hearing.Other[#item_full_content]