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]

Artificial intelligence bots have already permeated social media. But can users tell who is human and who is not?Artificial intelligence bots have already permeated social media. But can users tell who is human and who is not?Consumer & Gadgets[#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]

Hundreds of robots zip back and forth across the floor of a colossal robotic warehouse, grabbing items and delivering them to human workers for packing and shipping. Such warehouses are increasingly becoming part of the supply chain in many industries, from e-commerce to automotive production.Hundreds of robots zip back and forth across the floor of a colossal robotic warehouse, grabbing items and delivering them to human workers for packing and shipping. Such warehouses are increasingly becoming part of the supply chain in many industries, from e-commerce to automotive production.Robotics[#item_full_content]

Low-income households in the United States are bearing an energy burden that is three times that of the average household, according to the U.S. Department of Energy. In total, more than 46 million U.S. households carry a significant energy burden—meaning they pay more than 6% of their gross income for basic energy expenses such as cooling and heating their homes.Low-income households in the United States are bearing an energy burden that is three times that of the average household, according to the U.S. Department of Energy. In total, more than 46 million U.S. households carry a significant energy burden—meaning they pay more than 6% of their gross income for basic energy expenses such as cooling and heating their homes.Energy & Green Tech[#item_full_content]