Artificial intelligence models can now clone a voice with just a few seconds of audio, fueling a surge of deepfake songs online and creating a growing crisis for musicians who don’t want their voices hijacked. Beyond the obvious intellectual property rights issue, this can lead to lost revenue and take an emotional toll on artists who put their heart and soul into their songs. But researchers now have a solution.Artificial intelligence models can now clone a voice with just a few seconds of audio, fueling a surge of deepfake songs online and creating a growing crisis for musicians who don’t want their voices hijacked. Beyond the obvious intellectual property rights issue, this can lead to lost revenue and take an emotional toll on artists who put their heart and soul into their songs. But researchers now have a solution.Security[#item_full_content]
Anthropic, a leading AI company, recently refused to sign a Pentagon contract that would allow the United States military “unrestricted access” to its technology for “all lawful purposes.” To sign, Anthropic CEO Dario Amodei required two clear exceptions: no mass surveillance of Americans and no fully autonomous weapons without human oversight.Anthropic, a leading AI company, recently refused to sign a Pentagon contract that would allow the United States military “unrestricted access” to its technology for “all lawful purposes.” To sign, Anthropic CEO Dario Amodei required two clear exceptions: no mass surveillance of Americans and no fully autonomous weapons without human oversight.Security[#item_full_content]
What if a construction project could rewrite its own schedule the moment a problem appears? A new peer-reviewed study from the University of East London (UEL) suggests that artificial intelligence could make this possible—detecting emerging risks and automatically adjusting project plans before delays spread across a site. The research is published in the journal Frontiers in Built Environment.What if a construction project could rewrite its own schedule the moment a problem appears? A new peer-reviewed study from the University of East London (UEL) suggests that artificial intelligence could make this possible—detecting emerging risks and automatically adjusting project plans before delays spread across a site. The research is published in the journal Frontiers in Built Environment.Engineering[#item_full_content]
Robot vision could soon get a boost thanks to the development of a bioinspired eye that can automatically adjust its pupil size in response to changing light levels. Robots, self-driving cars and drones often struggle with dynamic lighting. If a car enters a dark tunnel, its camera aperture needs to stay wide open to capture enough light to see, just like our pupils do when the lights go out. But when it exits into daylight, it can be instantly blinded by the glare.Robot vision could soon get a boost thanks to the development of a bioinspired eye that can automatically adjust its pupil size in response to changing light levels. Robots, self-driving cars and drones often struggle with dynamic lighting. If a car enters a dark tunnel, its camera aperture needs to stay wide open to capture enough light to see, just like our pupils do when the lights go out. But when it exits into daylight, it can be instantly blinded by the glare.[#item_full_content]
A new approach to simulating biologically inspired robotics can cut the design and training of tactile robots from eighteen months to two weeks, new research suggests. Published in Cyborg & Bionic Systems, the study applies lessons from some of nature’s most famous “sensors,” including cats’ paws and elephant trunks, to help create artificial sensors with a human-like sense of touch better and faster than ever before. Combined with recent work in Nature Communications on training these tactile sensors in a way that mirrors human tactile memory, the team led by King’s College London now believe they can dramatically slash the time and cost of producing next-generation robots.A new approach to simulating biologically inspired robotics can cut the design and training of tactile robots from eighteen months to two weeks, new research suggests. Published in Cyborg & Bionic Systems, the study applies lessons from some of nature’s most famous “sensors,” including cats’ paws and elephant trunks, to help create artificial sensors with a human-like sense of touch better and faster than ever before. Combined with recent work in Nature Communications on training these tactile sensors in a way that mirrors human tactile memory, the team led by King’s College London now believe they can dramatically slash the time and cost of producing next-generation robots.[#item_full_content]
A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS), in collaboration with Dr. Jaemin Wang and Prof. Dierk Raabe of the Max Planck Institute in Germany, has developed an artificial intelligence (AI)-based model capable of assessing the likelihood and characteristics of internal defects during process design.A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS), in collaboration with Dr. Jaemin Wang and Prof. Dierk Raabe of the Max Planck Institute in Germany, has developed an artificial intelligence (AI)-based model capable of assessing the likelihood and characteristics of internal defects during process design.Engineering[#item_full_content]
A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of identifying cyberattacks. The proposed model combines a double feature selection technique with a stacked ensemble machine learning approach to enhance detection performance while reducing computational complexity.A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of identifying cyberattacks. The proposed model combines a double feature selection technique with a stacked ensemble machine learning approach to enhance detection performance while reducing computational complexity.Security[#item_full_content]
A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into the neural basis of how the brain learns and produces language, and offering potential applications for understanding animal vocalization more broadly. The study by University of Oregon researchers appears in the journal Patterns.A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into the neural basis of how the brain learns and produces language, and offering potential applications for understanding animal vocalization more broadly. The study by University of Oregon researchers appears in the journal Patterns.Hi Tech & Innovation[#item_full_content]
The rolling robots that deliver groceries and hot meals across Los Angeles are getting an upgrade. Coco Robotics, a UCLA-born startup that’s deployed more than 1,000 bots across the country, unveiled its next-generation machines on Thursday.The rolling robots that deliver groceries and hot meals across Los Angeles are getting an upgrade. Coco Robotics, a UCLA-born startup that’s deployed more than 1,000 bots across the country, unveiled its next-generation machines on Thursday.Robotics[#item_full_content]
Low-resolution online videos are less likely to influence opinion and also more likely to dissuade viewers from engaging with future content, research by Oregon State University scientists shows. The study carries major implications for the design and delivery of video content and suggests that deviations from high-quality presentations can create repercussions regarding the video’s content, according to Christopher Sanchez of the OSU College of Liberal Arts.Low-resolution online videos are less likely to influence opinion and also more likely to dissuade viewers from engaging with future content, research by Oregon State University scientists shows. The study carries major implications for the design and delivery of video content and suggests that deviations from high-quality presentations can create repercussions regarding the video’s content, according to Christopher Sanchez of the OSU College of Liberal Arts.Consumer & Gadgets[#item_full_content]
