When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with facts, the AI may still uphold the reply as true. That’s what my research group found when we asked five leading models to describe scenes in movies or novels that don’t actually exist.When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with facts, the AI may still uphold the reply as true. That’s what my research group found when we asked five leading models to describe scenes in movies or novels that don’t actually exist.Machine learning & AI[#item_full_content]
Near misses like the one at New York’s John F. Kennedy International Airport inspired a group from the AirLab in Carnegie Mellon University’s Robotics Institute (RI) to create World2Rules, an AI system that learns interpretable safety rules from data to analyze, verify, and explain potential collision scenarios.Near misses like the one at New York’s John F. Kennedy International Airport inspired a group from the AirLab in Carnegie Mellon University’s Robotics Institute (RI) to create World2Rules, an AI system that learns interpretable safety rules from data to analyze, verify, and explain potential collision scenarios.Automotive[#item_full_content]
Deliberations begin Monday in the blockbuster trial pitting Elon Musk against AI giant OpenAI and its CEO Sam Altman, whom Musk accuses of abandoning the company’s founding mission.Deliberations begin Monday in the blockbuster trial pitting Elon Musk against AI giant OpenAI and its CEO Sam Altman, whom Musk accuses of abandoning the company’s founding mission.Business[#item_full_content]
Wall Street is licking its chops over an unprecedented slate of massive IPOs set to arrive in the coming months, beginning with Elon Musk’s SpaceX in June.Wall Street is licking its chops over an unprecedented slate of massive IPOs set to arrive in the coming months, beginning with Elon Musk’s SpaceX in June.Business[#item_full_content]
Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.Computer Sciences[#item_full_content]
Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.[#item_full_content]
Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce lightweight and geometrically complex components, has long faced a critical barrier to widespread adoption: microscopic internal defects that are invisible to the naked eye yet significantly compromise structural integrity.Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce lightweight and geometrically complex components, has long faced a critical barrier to widespread adoption: microscopic internal defects that are invisible to the naked eye yet significantly compromise structural integrity.Engineering[#item_full_content]
You’re trying to book concert tickets before they sell out. You click the link and before you can make the payment, you’re asked to identify traffic lights, bicycles or blurry crosswalks in a grid of tiny images.You’re trying to book concert tickets before they sell out. You click the link and before you can make the payment, you’re asked to identify traffic lights, bicycles or blurry crosswalks in a grid of tiny images.Internet[#item_full_content]
In an industry that runs on hype and grand gestures, Canadian AI firm Cohere is charting a different course from Silicon Valley. No talk of superintelligent machines, no public feuding, just one question: can it make money?In an industry that runs on hype and grand gestures, Canadian AI firm Cohere is charting a different course from Silicon Valley. No talk of superintelligent machines, no public feuding, just one question: can it make money?Machine learning & AI[#item_full_content]
Lawyers for Elon Musk and OpenAI presented closing arguments Thursday in a blockbuster trial where the verdict could hobble ChatGPT’s parent company in the breakneck race for AI supremacy.Lawyers for Elon Musk and OpenAI presented closing arguments Thursday in a blockbuster trial where the verdict could hobble ChatGPT’s parent company in the breakneck race for AI supremacy.Business[#item_full_content]
