People with vivid imaginations are more likely than others to believe they truly inhabit the worlds they visit in virtual reality (VR) according to new research led by the University of Bath.People with vivid imaginations are more likely than others to believe they truly inhabit the worlds they visit in virtual reality (VR) according to new research led by the University of Bath.[#item_full_content]

Generative AI may be riddled with hallucinations, misinformation, and bias, but that didn’t stop over half of respondents in a recent global study from saying that they would use this nascent technology for sensitive areas like financial planning and medical advice.Generative AI may be riddled with hallucinations, misinformation, and bias, but that didn’t stop over half of respondents in a recent global study from saying that they would use this nascent technology for sensitive areas like financial planning and medical advice.[#item_full_content]

In June 1969, John E. Warnock achieved a milestone of sorts at the University of Utah by producing the shortest Ph.D. dissertation in the university’s history.In June 1969, John E. Warnock achieved a milestone of sorts at the University of Utah by producing the shortest Ph.D. dissertation in the university’s history.[#item_full_content]

The k-prize-collecting minimum vertex cover problem with submodular penalties (k-PCVCS) is a generalization of the minimum vertex cover problem, which is one of the most important and fundamental problems in graph theory and combinatorial optimization.The k-prize-collecting minimum vertex cover problem with submodular penalties (k-PCVCS) is a generalization of the minimum vertex cover problem, which is one of the most important and fundamental problems in graph theory and combinatorial optimization.[#item_full_content]

Every time a scientist runs an experiment, or a social scientist does a survey, or a humanities scholar analyzes a text, they generate data. Science runs on data—without it, we wouldn’t have the James Webb Space Telescope’s stunning images, disease-preventing vaccines or an evolutionary tree that traces the lineages of all life.Every time a scientist runs an experiment, or a social scientist does a survey, or a humanities scholar analyzes a text, they generate data. Science runs on data—without it, we wouldn’t have the James Webb Space Telescope’s stunning images, disease-preventing vaccines or an evolutionary tree that traces the lineages of all life.[#item_full_content]

Advanced smartphone features attract users who want more from their devices, especially in health and entertainment areas, but do these features create a security risk when making or receiving actual calls? A team of academic researchers from Texas A&M University and four other institutions created malicious software, or malware, to answer that question.Advanced smartphone features attract users who want more from their devices, especially in health and entertainment areas, but do these features create a security risk when making or receiving actual calls? A team of academic researchers from Texas A&M University and four other institutions created malicious software, or malware, to answer that question.[#item_full_content]

In recent years, pneumatic artificial muscles (PAMs) have emerged as promising actuators for simulating human-like movements, with prominent applications in various industries including robotics, rehabilitation, and prosthetics. PAMs are usually composed of rubber and covered with braided yarn and can mimic the mechanics of human muscles. They can stiffen and contract on being supplied with pressurized air and soften and lengthen upon releasing the air. However, PAM is a nonlinear system and experiences huge latency, making it important to have control systems that can regulate their performance.In recent years, pneumatic artificial muscles (PAMs) have emerged as promising actuators for simulating human-like movements, with prominent applications in various industries including robotics, rehabilitation, and prosthetics. PAMs are usually composed of rubber and covered with braided yarn and can mimic the mechanics of human muscles. They can stiffen and contract on being supplied with pressurized air and soften and lengthen upon releasing the air. However, PAM is a nonlinear system and experiences huge latency, making it important to have control systems that can regulate their performance.[#item_full_content]

The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.The media frenzy surrounding ChatGPT and other large language model artificial intelligence systems spans a range of themes, from the prosaic—large language models could replace conventional web search—to the concerning—AI will eliminate many jobs—and the overwrought—AI poses an extinction-level threat to humanity. All of these themes have a common denominator: large language models herald artificial intelligence that will supersede humanity.[#item_full_content]

How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents” make choices to earn rewards. Recently, an international research team led by Hiroaki Shinkawa at the University of Tokyo developed an extended photonic reinforcement learning scheme that moves from the static bandit problem towards a more challenging dynamic environment. This study was published in Intelligent Computing.[#item_full_content]

Georgia Tech Ph.D. student Niranjan Kumar has created the Cascaded Compositional Residual Learning (CCRL) framework, enabling a quadrupedal robot to perform increasingly complex tasks without relearning motions, mirroring human learning. Kumar showcased by the robot opening a heavy door using energy transfer, a remarkable achievement in robotics.Georgia Tech Ph.D. student Niranjan Kumar has created the Cascaded Compositional Residual Learning (CCRL) framework, enabling a quadrupedal robot to perform increasingly complex tasks without relearning motions, mirroring human learning. Kumar showcased by the robot opening a heavy door using energy transfer, a remarkable achievement in robotics.[#item_full_content]