Google CEO Sundar Pichai on Tuesday slammed “completely unacceptable” errors by its Gemini AI app, after gaffes such as images of ethnically diverse World War II Nazi troops forced it to stop users from creating pictures of people.Google CEO Sundar Pichai on Tuesday slammed “completely unacceptable” errors by its Gemini AI app, after gaffes such as images of ethnically diverse World War II Nazi troops forced it to stop users from creating pictures of people.Machine learning & AI[#item_full_content]

Microsoft Corp.’s GitHub is releasing a pricier paid version of its artificial intelligence software development tool that can answer questions based on a company’s own programming code, a feature designed to help new engineers get up to speed and enable veteran coders to work faster.Microsoft Corp.’s GitHub is releasing a pricier paid version of its artificial intelligence software development tool that can answer questions based on a company’s own programming code, a feature designed to help new engineers get up to speed and enable veteran coders to work faster.Business[#item_full_content]

OpenAI asked a US judge to dismiss several elements of a lawsuit brought by The New York Times, which accuses the ChatGPT creator of using millions of articles for training without permission.OpenAI asked a US judge to dismiss several elements of a lawsuit brought by The New York Times, which accuses the ChatGPT creator of using millions of articles for training without permission.Business[#item_full_content]

After the earthquake of ChatGPT’s phenomenal success a year ago, Silicon Valley investors have gone into overdrive with artificial intelligence, looking for the newest blockbuster idea in an ocean of hype and overpromising.After the earthquake of ChatGPT’s phenomenal success a year ago, Silicon Valley investors have gone into overdrive with artificial intelligence, looking for the newest blockbuster idea in an ocean of hype and overpromising.Business[#item_full_content]

Spacetime is a conceptual model that fuses the three dimensions of space (length, width, and breadth) with the fourth dimension of time. By doing so, a four-dimensional geometric object is created. Researchers have recently used a similar way of thinking to study AI environments, leading to a unique reframing of AI problems in geometric terms.Spacetime is a conceptual model that fuses the three dimensions of space (length, width, and breadth) with the fourth dimension of time. By doing so, a four-dimensional geometric object is created. Researchers have recently used a similar way of thinking to study AI environments, leading to a unique reframing of AI problems in geometric terms.[#item_full_content]

Spacetime is a conceptual model that fuses the three dimensions of space (length, width, and breadth) with the fourth dimension of time. By doing so, a four-dimensional geometric object is created. Researchers have recently used a similar way of thinking to study AI environments, leading to a unique reframing of AI problems in geometric terms.Spacetime is a conceptual model that fuses the three dimensions of space (length, width, and breadth) with the fourth dimension of time. By doing so, a four-dimensional geometric object is created. Researchers have recently used a similar way of thinking to study AI environments, leading to a unique reframing of AI problems in geometric terms.Computer Sciences[#item_full_content]

Research published in the International Journal of Ad Hoc and Ubiquitous Computingintroduces a new approach to tackling the challenges posed by deepfake technology, which generates manipulated media content that closely resembles authentic footage.Research published in the International Journal of Ad Hoc and Ubiquitous Computingintroduces a new approach to tackling the challenges posed by deepfake technology, which generates manipulated media content that closely resembles authentic footage.Security[#item_full_content]

The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box and rule-based approaches, is prone to errors, which in turn affects deep learning-based NIDS.The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box and rule-based approaches, is prone to errors, which in turn affects deep learning-based NIDS.Security[#item_full_content]

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