Irrespective of the ethics and the apocalyptic predictions, artificial intelligence (AI) has already become a central component of economic and institutional decision-making. Research in the International Journal of Intelligent Systems Design and Computing has gone beyond an industry-specific analysis of the state-of-the-AI-art and offers a detailed framework of how the many different AI tools are being adopted.Irrespective of the ethics and the apocalyptic predictions, artificial intelligence (AI) has already become a central component of economic and institutional decision-making. Research in the International Journal of Intelligent Systems Design and Computing has gone beyond an industry-specific analysis of the state-of-the-AI-art and offers a detailed framework of how the many different AI tools are being adopted.Business[#item_full_content]
In a new article, researchers introduce the capabilities approach–contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) systems, especially foundation models whose capabilities evolve across contexts and purposes. In a case study, they demonstrate how CA-CI can operationalize the European Union (EU)’s AI Act’s fundamental rights impact assessments, harm thresholds, and anticipatory governance. The article, by researchers at Carnegie Mellon University and the University of Michigan, is published in IEEE Security & Privacy.In a new article, researchers introduce the capabilities approach–contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) systems, especially foundation models whose capabilities evolve across contexts and purposes. In a case study, they demonstrate how CA-CI can operationalize the European Union (EU)’s AI Act’s fundamental rights impact assessments, harm thresholds, and anticipatory governance. The article, by researchers at Carnegie Mellon University and the University of Michigan, is published in IEEE Security & Privacy.Security[#item_full_content]
Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation networks, and historical development patterns.Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for forecasting future urban layouts by jointly considering building density, building height, transportation networks, and historical development patterns.Engineering[#item_full_content]
OpenAI Foundation, the nonprofit that controls the artificial intelligence company OpenAI and its flagship product ChatGPT, pledged Tuesday to grant out $1 billion over the next year and to build up its capacity as a philanthropic funder.OpenAI Foundation, the nonprofit that controls the artificial intelligence company OpenAI and its flagship product ChatGPT, pledged Tuesday to grant out $1 billion over the next year and to build up its capacity as a philanthropic funder.Machine learning & AI[#item_full_content]
A combination of infrared imaging, thermal imaging and color cameras on an uncrewed drone, along with an AI system to interpret the data, can help emergency responders and search-and-rescue teams locate, identify and track people who have gone missing in the wilderness. The experimental system helps responders pinpoint where a missing person is and determine whether they are hurt or even alive.A combination of infrared imaging, thermal imaging and color cameras on an uncrewed drone, along with an AI system to interpret the data, can help emergency responders and search-and-rescue teams locate, identify and track people who have gone missing in the wilderness. The experimental system helps responders pinpoint where a missing person is and determine whether they are hurt or even alive.Robotics[#item_full_content]
Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop a technique that better balances performance and privacy protection in these models.Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop a technique that better balances performance and privacy protection in these models.Security[#item_full_content]
Can using a large language model (LLM) make a person more creative? Prior work has shown that using LLMs can make creative outputs more homogeneous, but this homogenization could stem from the specific LLM used or from widespread use of the same model.Can using a large language model (LLM) make a person more creative? Prior work has shown that using LLMs can make creative outputs more homogeneous, but this homogenization could stem from the specific LLM used or from widespread use of the same model.Consumer & Gadgets[#item_full_content]
Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even the most advanced research. To help scientists better manage this data deluge, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new computer chip that rapidly compresses and processes the huge amounts of data generated by advanced X-ray detectors, like those at the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne. By compressing data right at the source, like shrinking a movie or song to make it easier to send, this technology makes experiments faster, more efficient, and more insightful than ever.Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even the most advanced research. To help scientists better manage this data deluge, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new computer chip that rapidly compresses and processes the huge amounts of data generated by advanced X-ray detectors, like those at the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne. By compressing data right at the source, like shrinking a movie or song to make it easier to send, this technology makes experiments faster, more efficient, and more insightful than ever.[#item_full_content]
During the First World War, the British government was looking for ways to help people stretch their limited food supplies. It found pamphlets from a noted 19th-century herbalist who said rhubarb leaves could be used as a vegetable along with the stalks.During the First World War, the British government was looking for ways to help people stretch their limited food supplies. It found pamphlets from a noted 19th-century herbalist who said rhubarb leaves could be used as a vegetable along with the stalks.Consumer & Gadgets[#item_full_content]
Buildings researchers at the Department of Energy’s Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for commercial building construction. Long before construction begins, commercial building teams evaluate a building’s expected energy consumption to inform design decisions, estimate operating costs and comply with relevant state and local energy codes.Buildings researchers at the Department of Energy’s Pacific Northwest National Laboratory have released a new AI-driven, autonomous bot that could help speed up the energy modeling process for commercial building construction. Long before construction begins, commercial building teams evaluate a building’s expected energy consumption to inform design decisions, estimate operating costs and comply with relevant state and local energy codes.Energy & Green Tech[#item_full_content]
