Researchers have developed a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. Fluid switches control fluid flow, causing the fluid to flow in a specific direction to invoke various movements.Researchers have developed a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. Fluid switches control fluid flow, causing the fluid to flow in a specific direction to invoke various movements.[#item_full_content]
Metal matrix composites are a modern alternative to steel. They are molecular-reinforced materials, which consist of a metal reinforcement matrix and filler. Such composites can be further strengthened, for example, using titanium monobromide or titanium carbide.Metal matrix composites are a modern alternative to steel. They are molecular-reinforced materials, which consist of a metal reinforcement matrix and filler. Such composites can be further strengthened, for example, using titanium monobromide or titanium carbide.Engineering[#item_full_content]
A recent study by the DHBW Stuttgart at the Service Management Study Center (ZMM) investigates the ability of Artificial Intelligence (AI) to recognize discriminatory content in images and advertisements, showing both impressive progress as well as existing limitations.A recent study by the DHBW Stuttgart at the Service Management Study Center (ZMM) investigates the ability of Artificial Intelligence (AI) to recognize discriminatory content in images and advertisements, showing both impressive progress as well as existing limitations.Machine learning & AI[#item_full_content]
In a computational study leveraging artificial intelligence (AI), scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have assessed 160 billion molecules, a number exceeding the people born in the entire span of human history. Their goal was to screen the molecules for suitability as liquid carriers of hydrogen.In a computational study leveraging artificial intelligence (AI), scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have assessed 160 billion molecules, a number exceeding the people born in the entire span of human history. Their goal was to screen the molecules for suitability as liquid carriers of hydrogen.Energy & Green Tech[#item_full_content]
In the ever-changing landscape of smart city innovation, researchers have introduced the Residual Spatial-Temporal Graph Convolutional Neural Network (RST-GCNN), which could help users find an on-street parking space more efficiently. The work is published in the International Journal of Sensor Networks.In the ever-changing landscape of smart city innovation, researchers have introduced the Residual Spatial-Temporal Graph Convolutional Neural Network (RST-GCNN), which could help users find an on-street parking space more efficiently. The work is published in the International Journal of Sensor Networks.Automotive[#item_full_content]
Just like humans, AI-based large-language models have characteristics such as morals and values. However, these are not always transparent. Researchers of the University of Mannheim and GESIS—Leibniz Institute for the Social Sciences have now analyzed how the settings of the language models can be made visible and have examined the consequences these prejudices might have on society.Just like humans, AI-based large-language models have characteristics such as morals and values. However, these are not always transparent. Researchers of the University of Mannheim and GESIS—Leibniz Institute for the Social Sciences have now analyzed how the settings of the language models can be made visible and have examined the consequences these prejudices might have on society.Machine learning & AI[#item_full_content]
UC Riverside computer scientists have identified a security flaw in vision language artificial intelligence (AI) models that can allow bad actors to use AI for nefarious purposes, such as obtaining instructions on how to make bomb.UC Riverside computer scientists have identified a security flaw in vision language artificial intelligence (AI) models that can allow bad actors to use AI for nefarious purposes, such as obtaining instructions on how to make bomb.Security[#item_full_content]
Language models have, somewhat surreptitiously, dominated news for the last year. Often called “artificial intelligence,” these systems underlie chatbots like ChatGPT and Google Bard.Language models have, somewhat surreptitiously, dominated news for the last year. Often called “artificial intelligence,” these systems underlie chatbots like ChatGPT and Google Bard.Consumer & Gadgets[#item_full_content]
From “Law and Order” to “CSI,” not to mention real life, investigators have used fingerprints as the gold standard for linking criminals to a crime. But if a perpetrator leaves prints from different fingers in two different crime scenes, these scenes are very difficult to link, and the trace can go cold.From “Law and Order” to “CSI,” not to mention real life, investigators have used fingerprints as the gold standard for linking criminals to a crime. But if a perpetrator leaves prints from different fingers in two different crime scenes, these scenes are very difficult to link, and the trace can go cold.Security[#item_full_content]
False and misleading information supercharged with cutting-edge artificial intelligence that threatens to erode democracy and polarize society is the top immediate risk to the global economy, the World Economic Forum said in a report Wednesday.False and misleading information supercharged with cutting-edge artificial intelligence that threatens to erode democracy and polarize society is the top immediate risk to the global economy, the World Economic Forum said in a report Wednesday.Internet[#item_full_content]
