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]

Imagine a world where your smartphone can detect your mood just by the way you type a message or the tone of your voice. Picture a car that adjusts its music playlist based on your stress levels during rush hour traffic. These scenarios are not just futuristic fantasies.Imagine a world where your smartphone can detect your mood just by the way you type a message or the tone of your voice. Picture a car that adjusts its music playlist based on your stress levels during rush hour traffic. These scenarios are not just futuristic fantasies.Computer Sciences[#item_full_content]

In order to successfully 3D-print a metal part to the exacting specifications that many in industry demand, process parameters—including printing speed, laser power, and layer thickness of the deposited material—must all be optimized.In order to successfully 3D-print a metal part to the exacting specifications that many in industry demand, process parameters—including printing speed, laser power, and layer thickness of the deposited material—must all be optimized.Engineering[#item_full_content]

Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number of annotations for training. However, considering the labor cost, it is difficult to re-align large amounts of multimodal data in many applications (e.g., medical retrieval), which results in unsupervised multimodal data.Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number of annotations for training. However, considering the labor cost, it is difficult to re-align large amounts of multimodal data in many applications (e.g., medical retrieval), which results in unsupervised multimodal data.Machine learning & AI[#item_full_content]

Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.Computer Sciences[#item_full_content]

A rush by Australian companies to use generative Artificial Intelligence (AI) is escalating the privacy and security risks to the public as well as to staff, customers and stakeholders, according to a new study.A rush by Australian companies to use generative Artificial Intelligence (AI) is escalating the privacy and security risks to the public as well as to staff, customers and stakeholders, according to a new study.Business[#item_full_content]

French start-up Mistral AI announced on Monday it was launching a new chatbot, in a race to catch-up with US counterparts like OpenAI, the maker of ChatGPT.French start-up Mistral AI announced on Monday it was launching a new chatbot, in a race to catch-up with US counterparts like OpenAI, the maker of ChatGPT.Machine learning & AI[#item_full_content]