An external study of Twitter in 2022 estimated that between a third and two thirds of accounts on the social media site were bots. And many of these automatons flooding social media are dispatched to sow political polarization, hate, misinformation, propaganda and scams. The ability to sift them out of the online crowds is vital for a safer, more humane (or at least more human) internet.An external study of Twitter in 2022 estimated that between a third and two thirds of accounts on the social media site were bots. And many of these automatons flooding social media are dispatched to sow political polarization, hate, misinformation, propaganda and scams. The ability to sift them out of the online crowds is vital for a safer, more humane (or at least more human) internet.Security[#item_full_content]

As artificial intelligence (AI) becomes more powerful—even being used in warfare—there’s an urgent need for governments, tech companies and international bodies to ensure it’s safe. And a common thread in most agreements on AI safety is a need for human oversight of the technology.As artificial intelligence (AI) becomes more powerful—even being used in warfare—there’s an urgent need for governments, tech companies and international bodies to ensure it’s safe. And a common thread in most agreements on AI safety is a need for human oversight of the technology.Security[#item_full_content]

Imagine a group of young men gathered at a picturesque college campus in New England, in the United States, during the northern summer of 1956.Imagine a group of young men gathered at a picturesque college campus in New England, in the United States, during the northern summer of 1956.Computer Sciences[#item_full_content]

A good machine-learning algorithm is a powerful research accelerator. Pair it with a computer simulation and it can sniff out mathematical shortcuts through the program, propelling scientists to faster insights about the effects of drugs on cells or the potential of rocket engines to send humankind to Mars and beyond.A good machine-learning algorithm is a powerful research accelerator. Pair it with a computer simulation and it can sniff out mathematical shortcuts through the program, propelling scientists to faster insights about the effects of drugs on cells or the potential of rocket engines to send humankind to Mars and beyond.Computer Sciences[#item_full_content]

Roadway-related incidents are a leading cause of flood fatalities nationwide, but limited flood-reporting tools make it difficult to evaluate road conditions in real time.Roadway-related incidents are a leading cause of flood fatalities nationwide, but limited flood-reporting tools make it difficult to evaluate road conditions in real time.Engineering[#item_full_content]

Large language models (LLMs) such as ChatGPT and Google Gemini excel at being trained on large data-sets to generate informative responses to prompts. Yi Cao, an assistant professor of accounting at the Donald G. Costello College of Business at George Mason University, and Long Chen, associate professor and area chair of accounting at Costello, are actively exploring how individual investors can use LLMs to glean market insights from the dizzying array of available data about companies.Large language models (LLMs) such as ChatGPT and Google Gemini excel at being trained on large data-sets to generate informative responses to prompts. Yi Cao, an assistant professor of accounting at the Donald G. Costello College of Business at George Mason University, and Long Chen, associate professor and area chair of accounting at Costello, are actively exploring how individual investors can use LLMs to glean market insights from the dizzying array of available data about companies.Business[#item_full_content]

Discourse relation classification is a fundamental task for discourse analysis, which is essential for understanding the structure and connection of texts. Implicit discourse relation classification aims to determine the relationship between adjacent sentences and is the most challenging in discourse relation classification because it lacks explicit discourse connectives as linguistic cues and sufficient annotated training data.Discourse relation classification is a fundamental task for discourse analysis, which is essential for understanding the structure and connection of texts. Implicit discourse relation classification aims to determine the relationship between adjacent sentences and is the most challenging in discourse relation classification because it lacks explicit discourse connectives as linguistic cues and sufficient annotated training data.Computer Sciences[#item_full_content]

A deluge of bizarre computer-generated images swept Elon Musk’s social platform X last week—including violent, offensive and sexually suggestive content. In one, Trump piloted a helicopter as the World Trade Center buildings burned in the background. In others, Kamala Harris wore a bikini, and Donald Duck used heroin. Amidst the online furor, Musk posted, “Grok is the most fun AI in the world!”A deluge of bizarre computer-generated images swept Elon Musk’s social platform X last week—including violent, offensive and sexually suggestive content. In one, Trump piloted a helicopter as the World Trade Center buildings burned in the background. In others, Kamala Harris wore a bikini, and Donald Duck used heroin. Amidst the online furor, Musk posted, “Grok is the most fun AI in the world!”Internet[#item_full_content]

The internet, and particularly social media, have grown exponentially over the last decades. The nature of social media allows anyone to go online and create content they find interesting, whether appropriate or not. One form of inappropriate content is hate speech—offensive or threatening speech targeting certain people based on their ethnicity, religion, sexual orientation, and the like.The internet, and particularly social media, have grown exponentially over the last decades. The nature of social media allows anyone to go online and create content they find interesting, whether appropriate or not. One form of inappropriate content is hate speech—offensive or threatening speech targeting certain people based on their ethnicity, religion, sexual orientation, and the like.Internet[#item_full_content]

Automatic bug assignment has been well studied in the past decade. As textual bug reports usually describe the buggy phenomena and potential causes, engineers highly depend on these reports to fix bugs. Researchers heavily depend on the textual content in the bug reports to locate the buggy files. However, noises in texts bring adverse impacts to automatic bug assignments unexpectedly, mainly due to insufficiency of classical Natural Language Processing (NLP) techniques.Automatic bug assignment has been well studied in the past decade. As textual bug reports usually describe the buggy phenomena and potential causes, engineers highly depend on these reports to fix bugs. Researchers heavily depend on the textual content in the bug reports to locate the buggy files. However, noises in texts bring adverse impacts to automatic bug assignments unexpectedly, mainly due to insufficiency of classical Natural Language Processing (NLP) techniques.Computer Sciences[#item_full_content]