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]

A new study uses co-creation with reference communities to develop an app for sign language machine translation (SLMT). The research team designed a theatrical performance in sign language, seen through the eyes of artificial intelligence (AI), as one of the methodologies.A new study uses co-creation with reference communities to develop an app for sign language machine translation (SLMT). The research team designed a theatrical performance in sign language, seen through the eyes of artificial intelligence (AI), as one of the methodologies.Hi Tech & Innovation[#item_full_content]

Over the past couple of decades, computer scientists have developed a wide range of deep neural networks (DNNs) designed to tackle various real-world tasks. While some of these models have proved to be highly effective, some studies found that they can be unfair, meaning that their performance may vary based on the data they were trained on and even the hardware platforms they were deployed on.Over the past couple of decades, computer scientists have developed a wide range of deep neural networks (DNNs) designed to tackle various real-world tasks. While some of these models have proved to be highly effective, some studies found that they can be unfair, meaning that their performance may vary based on the data they were trained on and even the hardware platforms they were deployed on.Hardware[#item_full_content]

The rapid development of artificial intelligence (AI) in the past decade has greatly enhanced the ability of wearable devices to process complex data. Among them, machine learning—a major category of AI algorithms—and its important branch, deep learning, are the main thrust of this wave of AI.The rapid development of artificial intelligence (AI) in the past decade has greatly enhanced the ability of wearable devices to process complex data. Among them, machine learning—a major category of AI algorithms—and its important branch, deep learning, are the main thrust of this wave of AI.Electronics & Semiconductors[#item_full_content]

Training deep learning models on large datasets is essential for their success; however, these datasets often contain label noise, which can significantly decrease the classification performance on test datasets.Training deep learning models on large datasets is essential for their success; however, these datasets often contain label noise, which can significantly decrease the classification performance on test datasets.Computer Sciences[#item_full_content]