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]

Characterized by their intricate patterns and hierarchical designs, lattice structures hold immense potential for revolutionizing industries ranging from aerospace to biomedical engineering, due to their versatility and customizability. However, the complexity of these structures and the vast design space they encompass have posed significant hurdles for engineers and scientists, and traditional methods of design exploration and optimization often fall short when faced with the sheer magnitude of possibilities within the lattice-design landscape.Characterized by their intricate patterns and hierarchical designs, lattice structures hold immense potential for revolutionizing industries ranging from aerospace to biomedical engineering, due to their versatility and customizability. However, the complexity of these structures and the vast design space they encompass have posed significant hurdles for engineers and scientists, and traditional methods of design exploration and optimization often fall short when faced with the sheer magnitude of possibilities within the lattice-design landscape.Engineering[#item_full_content]

The narrative around the infiltration of artificial intelligence (AI) into our professional lives is often tinged with fear. Can a computer do what I do faster and more cheaply? Will my skills become obsolete? What if a robot takes my job?The narrative around the infiltration of artificial intelligence (AI) into our professional lives is often tinged with fear. Can a computer do what I do faster and more cheaply? Will my skills become obsolete? What if a robot takes my job?Machine learning & AI[#item_full_content]

A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same framework. Their novel bilateral reference framework (BiRefNet) is able to capture tiny-pixel features and holds potential for a wide range of practical computer vision applications.A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same framework. Their novel bilateral reference framework (BiRefNet) is able to capture tiny-pixel features and holds potential for a wide range of practical computer vision applications.Computer Sciences[#item_full_content]