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]

The ongoing transition from fossil fuels to renewable energy sources has never been more important as climate change and sustainability awareness continue to rise.The ongoing transition from fossil fuels to renewable energy sources has never been more important as climate change and sustainability awareness continue to rise.[#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]

Recently, stories about AI have been leading the news, including deals about publications licensing their content, or content errors made by AI. Now, a new paper by computer science Ph.D. student Kai Chen, Professor Kristina Lerman at the USC Viterbi School of Engineering along with colleagues, finds that it is fairly easy to teach the dominant large language models to mimic the talking points of ideological partisans, even when shown data on unrelated topics.Recently, stories about AI have been leading the news, including deals about publications licensing their content, or content errors made by AI. Now, a new paper by computer science Ph.D. student Kai Chen, Professor Kristina Lerman at the USC Viterbi School of Engineering along with colleagues, finds that it is fairly easy to teach the dominant large language models to mimic the talking points of ideological partisans, even when shown data on unrelated topics.[#item_full_content]

A new study from the National Institute of Standards and Technology (NIST) evaluates the performance of software that estimates a person’s age based on the physical characteristics evident in a photo of their face.A new study from the National Institute of Standards and Technology (NIST) evaluates the performance of software that estimates a person’s age based on the physical characteristics evident in a photo of their face.[#item_full_content]

Humans can innately perform a wide range of movements, as this allows them to best tackle various tasks in their day-to-day life. Automatically reproducing these motions in virtual avatars and 3D animated human-like characters could be highly advantageous for many applications, ranging from metaverse spaces to digital entertainment, AI interfaces and robotics.Humans can innately perform a wide range of movements, as this allows them to best tackle various tasks in their day-to-day life. Automatically reproducing these motions in virtual avatars and 3D animated human-like characters could be highly advantageous for many applications, ranging from metaverse spaces to digital entertainment, AI interfaces and robotics.[#item_full_content]

“Please enter the code within the next two minutes.” The concept of one-time passwords (OTPs) has become a mainstay in our procedures for secure user verification in sensitive applications, such as government and financial services. Typically found in multi-factor authentication schemes, a standard OTP resists hacking attempts by imposing a time limit for users to input the given password.”Please enter the code within the next two minutes.” The concept of one-time passwords (OTPs) has become a mainstay in our procedures for secure user verification in sensitive applications, such as government and financial services. Typically found in multi-factor authentication schemes, a standard OTP resists hacking attempts by imposing a time limit for users to input the given password.[#item_full_content]