Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. “With the way AI algorithms are currently structured, they sometimes settle on an answer that seems good enough and stop searching before finding one that may be much better,” says Dr. Donald Wunsch, director of Missouri S&T’s Kummer Institute Center for AI and Autonomous Systems. “It’s important that we find ways to help these algorithms keep searching instead of stopping too soon. When AI is used in areas that affect people’s health, safety or cost of living, the difference between good enough and great can have significant implications.”Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. “With the way AI algorithms are currently structured, they sometimes settle on an answer that seems good enough and stop searching before finding one that may be much better,” says Dr. Donald Wunsch, director of Missouri S&T’s Kummer Institute Center for AI and Autonomous Systems. “It’s important that we find ways to help these algorithms keep searching instead of stopping too soon. When AI is used in areas that affect people’s health, safety or cost of living, the difference between good enough and great can have significant implications.”[#item_full_content]

In his 1927 paper, “A law of comparative judgment,” the American psychologist L. L. Thurstone proposed that when people select one option among multiple alternatives, they are picking the one that has the highest value to them, even though they cannot assign a particular number to that choice.In his 1927 paper, “A law of comparative judgment,” the American psychologist L. L. Thurstone proposed that when people select one option among multiple alternatives, they are picking the one that has the highest value to them, even though they cannot assign a particular number to that choice.[#item_full_content]

A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple task. Many attempts have been made to develop a method to reconstruct both depth and sharp color images from a single snapshot, but many struggle to deliver accurate and reliable output.A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple task. Many attempts have been made to develop a method to reconstruct both depth and sharp color images from a single snapshot, but many struggle to deliver accurate and reliable output.[#item_full_content]

Researchers in Japan have developed quantum multi-programming auto mode, a function that automatically runs quantum programs from different users in parallel. Launched on the Center for Quantum Information and Quantum Biology (QIQB) quantum computer cloud service at the University of Osaka, the system reduces idle qubit resources, improves throughput and may help ease congestion in quantum cloud computing.Researchers in Japan have developed quantum multi-programming auto mode, a function that automatically runs quantum programs from different users in parallel. Launched on the Center for Quantum Information and Quantum Biology (QIQB) quantum computer cloud service at the University of Osaka, the system reduces idle qubit resources, improves throughput and may help ease congestion in quantum cloud computing.[#item_full_content]

How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.[#item_full_content]

Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.[#item_full_content]

Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.[#item_full_content]

Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced, and now EPFL scientists have shown that the picture is more nuanced.Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced, and now EPFL scientists have shown that the picture is more nuanced.[#item_full_content]

Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.[#item_full_content]

Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the “Stroop task,” in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.[#item_full_content]