Artificial intelligence (AI) technology used in image recognition possesses a structure mimicking human vision and brain neurons. There are three known methods to reduce the amount of data required for calculating and computing the visual and neuronal components. Until now, the application ratio of these methods was determined through trial and error.Artificial intelligence (AI) technology used in image recognition possesses a structure mimicking human vision and brain neurons. There are three known methods to reduce the amount of data required for calculating and computing the visual and neuronal components. Until now, the application ratio of these methods was determined through trial and error.[#item_full_content]

Artificial intelligence systems like ChatGPT could soon run out of what keeps making them smarter—the tens of trillions of words people have written and shared online.Artificial intelligence systems like ChatGPT could soon run out of what keeps making them smarter—the tens of trillions of words people have written and shared online.[#item_full_content]

Researchers at the University of Jyväskylä, Finland, have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology.Researchers at the University of Jyväskylä, Finland, have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology.[#item_full_content]

Researchers from Huazhong University of Science and Technology, in collaboration with the Donders Institute for Brain, Cognition and Behavior at Radboud University, have developed a new method for the rapid identification of network topologies.Researchers from Huazhong University of Science and Technology, in collaboration with the Donders Institute for Brain, Cognition and Behavior at Radboud University, have developed a new method for the rapid identification of network topologies.[#item_full_content]

A team of computer scientists and AI researchers from FAIR at Meta, INRIA, Université Paris Saclay and Google, has developed a possible means for automating data curation for self-supervised pre-training of AI datasets.A team of computer scientists and AI researchers from FAIR at Meta, INRIA, Université Paris Saclay and Google, has developed a possible means for automating data curation for self-supervised pre-training of AI datasets.[#item_full_content]

Disinformation is a growing phenomenon on digital platforms, significantly impacting social, political, and economic events. It has long posed a threat to freedom and democracy. However, it is now even more pressing due to the speed at which campaigns spread through digital media.Disinformation is a growing phenomenon on digital platforms, significantly impacting social, political, and economic events. It has long posed a threat to freedom and democracy. However, it is now even more pressing due to the speed at which campaigns spread through digital media.[#item_full_content]

A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to research from an interdisciplinary team at Penn State.[#item_full_content]

Researchers if CIDIS at ESPOL Polytechnic University have developed a new method to enhance thermal image super-resolution by employing synthetic imagery. This novel approach utilizes high-resolution images from the visible spectrum to guide the super-resolution of low-resolution thermal images, significantly improving the detail and utility of thermal imaging across various applications. The work is published in the journal Neurocomputing.Researchers if CIDIS at ESPOL Polytechnic University have developed a new method to enhance thermal image super-resolution by employing synthetic imagery. This novel approach utilizes high-resolution images from the visible spectrum to guide the super-resolution of low-resolution thermal images, significantly improving the detail and utility of thermal imaging across various applications. The work is published in the journal Neurocomputing.[#item_full_content]

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