Seoul National University College of Engineering announced that a research team led by Professor Hyun Oh Song from the Department of Computer Science and Engineering has developed a new AI technology called KVzip that intelligently compresses the conversation memory of large language model (LLM)-based chatbots used in long-context tasks such as extended dialog and document summarization. The study is published on the arXiv preprint server.Seoul National University College of Engineering announced that a research team led by Professor Hyun Oh Song from the Department of Computer Science and Engineering has developed a new AI technology called KVzip that intelligently compresses the conversation memory of large language model (LLM)-based chatbots used in long-context tasks such as extended dialog and document summarization. The study is published on the arXiv preprint server.[#item_full_content]

When users ask ChatGPT to generate an image in a Ghibli style, the actual image is created by DALL-E, a tool powered by diffusion models. Although these models produce stunning images—such as transforming photos into artistic styles, creating personalized characters, or rendering realistic landscapes—they also face certain limitations. These include occasional errors, like three-fingered hands or distorted faces, and challenges in running on devices with limited computational resources, like smartphones, due to their massive number of parameters.When users ask ChatGPT to generate an image in a Ghibli style, the actual image is created by DALL-E, a tool powered by diffusion models. Although these models produce stunning images—such as transforming photos into artistic styles, creating personalized characters, or rendering realistic landscapes—they also face certain limitations. These include occasional errors, like three-fingered hands or distorted faces, and challenges in running on devices with limited computational resources, like smartphones, due to their massive number of parameters.[#item_full_content]

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.[#item_full_content]

Imagine snapping a photo where every detail, near and far, is perfectly sharp—from the flower petal right in front of you to the distant trees on the horizon. For over a century, camera designers have dreamed of achieving that level of clarity.Imagine snapping a photo where every detail, near and far, is perfectly sharp—from the flower petal right in front of you to the distant trees on the horizon. For over a century, camera designers have dreamed of achieving that level of clarity.[#item_full_content]

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be used to evaluate human-centric computer vision tasks to identify and correct biases and stereotypes.A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be used to evaluate human-centric computer vision tasks to identify and correct biases and stereotypes.[#item_full_content]

At 15, when a neurological condition took Tobias Weinberg’s ability to speak, aspects of his personality became more difficult to express.At 15, when a neurological condition took Tobias Weinberg’s ability to speak, aspects of his personality became more difficult to express.[#item_full_content]

Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges and flood risks more accurately than previous methods.Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges and flood risks more accurately than previous methods.[#item_full_content]

A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how humans do it. This model is inspired by biology and could be useful for artificial intelligence and machine perception.A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how humans do it. This model is inspired by biology and could be useful for artificial intelligence and machine perception.[#item_full_content]

Large language models (LLMs) may not reliably acknowledge a user’s incorrect beliefs, according to a new paper published in Nature Machine Intelligence. The findings highlight the need for careful use of LLM outputs in high-stakes decisions in areas such as medicine, law, and science, particularly when belief or opinions are contrasted with facts.Large language models (LLMs) may not reliably acknowledge a user’s incorrect beliefs, according to a new paper published in Nature Machine Intelligence. The findings highlight the need for careful use of LLM outputs in high-stakes decisions in areas such as medicine, law, and science, particularly when belief or opinions are contrasted with facts.[#item_full_content]

When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge sharing. Increasingly, AI assistants are now being used for this role.When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge sharing. Increasingly, AI assistants are now being used for this role.[#item_full_content]