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]