Led by a team from the Institute of Automation, Chinese Academy of Sciences, a new study explores a novel frontier in machine learning. With the rise of large language models, AI is evolving from perceptual intelligence to cognitive intelligence, and human language has become a pivotal component of visual understanding. This study questions whether machines can spontaneously learn a machine language as a visual representation, without relying on human language.Led by a team from the Institute of Automation, Chinese Academy of Sciences, a new study explores a novel frontier in machine learning. With the rise of large language models, AI is evolving from perceptual intelligence to cognitive intelligence, and human language has become a pivotal component of visual understanding. This study questions whether machines can spontaneously learn a machine language as a visual representation, without relying on human language.Machine learning & AI[#item_full_content]
Modern artificial intelligence, such as ChatGPT, is capable of mimicking human behaviors, but the former has more positive outcomes such as cooperation, altruism, trust and reciprocity.Modern artificial intelligence, such as ChatGPT, is capable of mimicking human behaviors, but the former has more positive outcomes such as cooperation, altruism, trust and reciprocity.Machine learning & AI[#item_full_content]
ETRI’s researchers have unveiled a technology that combines generative AI and visual intelligence to create images from text inputs in just 2 seconds, propelling the field of ultra-fast generative visual intelligence.ETRI’s researchers have unveiled a technology that combines generative AI and visual intelligence to create images from text inputs in just 2 seconds, propelling the field of ultra-fast generative visual intelligence.Software[#item_full_content]
The exploration of polarized communities, which consist of two antagonistic subgraphs and include a set of query nodes, is a crucial task in community search on signed networks. Most existing methods either predominantly rely on topological structure while disregarding node attributes or tend to prioritize the global identification of all polarized communities. Thus, they fail to consider two crucial insights.The exploration of polarized communities, which consist of two antagonistic subgraphs and include a set of query nodes, is a crucial task in community search on signed networks. Most existing methods either predominantly rely on topological structure while disregarding node attributes or tend to prioritize the global identification of all polarized communities. Thus, they fail to consider two crucial insights.[#item_full_content]
OpenAI’s new generative Sora tool has sparked lively technology discussions over the past week, generating both enthusiasm and concern among fans and critics.OpenAI’s new generative Sora tool has sparked lively technology discussions over the past week, generating both enthusiasm and concern among fans and critics.Software[#item_full_content]
A technology that can recognize human emotions in real time has been developed by Professor Jiyun Kim and his research team in the Department of Material Science and Engineering at UNIST. This innovative technology is poised to revolutionize various industries, including next-generation wearable systems that provide services based on emotions.A technology that can recognize human emotions in real time has been developed by Professor Jiyun Kim and his research team in the Department of Material Science and Engineering at UNIST. This innovative technology is poised to revolutionize various industries, including next-generation wearable systems that provide services based on emotions.Hi Tech & Innovation[#item_full_content]
Researchers have made significant progress in the development of artificial neural networks using tiny silicon devices called microresonators, paving the way for faster and more energy-efficient artificial intelligence systems. These networks mimic the computing capabilities of the human brain, breaking away from traditional digital computer architectures and leveraging the speed, low power dissipation and multi-wavelength capabilities of photonics.Researchers have made significant progress in the development of artificial neural networks using tiny silicon devices called microresonators, paving the way for faster and more energy-efficient artificial intelligence systems. These networks mimic the computing capabilities of the human brain, breaking away from traditional digital computer architectures and leveraging the speed, low power dissipation and multi-wavelength capabilities of photonics.Hardware[#item_full_content]
Imagine doubling the processing power of your smartphone, tablet, personal computer, or server using the existing hardware already in these devices.Imagine doubling the processing power of your smartphone, tablet, personal computer, or server using the existing hardware already in these devices.[#item_full_content]
Google said Thursday it would stop users from creating images of people on its newly launched AI tool, after the program depicted Nazi-era troops as people from diverse ethnic backgrounds.Google said Thursday it would stop users from creating images of people on its newly launched AI tool, after the program depicted Nazi-era troops as people from diverse ethnic backgrounds.Machine learning & AI[#item_full_content]
Komal Vilas Thatkare says she doesn’t have anyone to ask about her most private health questions.Komal Vilas Thatkare says she doesn’t have anyone to ask about her most private health questions.Machine learning & AI[#item_full_content]
