More public-sector decisions are being made by AI—but what do people think about this?
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Technical aids are advancing and automated decision-making is becoming increasingly common in the public sector—but what do people really think about think about this trend? A new study from Södertörn University in Sweden has shed light on the issue.Technical aids are advancing and automated decision-making is becoming increasingly common in the public sector—but what do people really think about think about this trend? A new study from Södertörn University in Sweden has shed light on the issue.Consumer & Gadgets[#item_full_content]

People fear AI tech, but not enough to avoid autonomous cars
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A significant percentage of people fear AI tech, but not enough to avoid using autonomous cars when they become available. That is according to new research that goes against the “Frankenstein complex,” where humans are predicted to be hostile to robots and AI because they are afraid of them.A significant percentage of people fear AI tech, but not enough to avoid using autonomous cars when they become available. That is according to new research that goes against the “Frankenstein complex,” where humans are predicted to be hostile to robots and AI because they are afraid of them.Automotive[#item_full_content]

A new approach for map densification in visual place recognition
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Visual place recognition (VPR) is the task of identifying the location where specific images were taken. Computer scientists have recently developed various deep learning algorithms that could effectively tackle this task, letting users know where within a known environment an image was captured.Visual place recognition (VPR) is the task of identifying the location where specific images were taken. Computer scientists have recently developed various deep learning algorithms that could effectively tackle this task, letting users know where within a known environment an image was captured.Computer Sciences[#item_full_content]

Can charismatic robots help teams be more creative?
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Increasingly, social robots are being used for support in educational contexts. But does the sound of a social robot affect how well they perform, especially when dealing with teams of humans? Teamwork is a key factor in human creativity, boosting collaboration and new ideas. Danish scientists set out to understand whether robots using a voice designed to sound charismatic would be more successful as team creativity facilitators.Increasingly, social robots are being used for support in educational contexts. But does the sound of a social robot affect how well they perform, especially when dealing with teams of humans? Teamwork is a key factor in human creativity, boosting collaboration and new ideas. Danish scientists set out to understand whether robots using a voice designed to sound charismatic would be more successful as team creativity facilitators.Robotics[#item_full_content]

G7 calls for ‘responsible’ use of generative AI
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The world must urgently assess the impact of generative artificial intelligence, G7 leaders said Saturday, announcing they will launch discussions this year on “responsible” use of the technology.The world must urgently assess the impact of generative artificial intelligence, G7 leaders said Saturday, announcing they will launch discussions this year on “responsible” use of the technology.Internet[#item_full_content]

Evolutionary reinforcement learning promises further advances in machine learning
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Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In evolutionary reinforcement learning, an intelligent agent learns optimal strategies by actively exploring different approaches and receiving rewards for successful performance.Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In evolutionary reinforcement learning, an intelligent agent learns optimal strategies by actively exploring different approaches and receiving rewards for successful performance.Computer Sciences[#item_full_content]

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