A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so on, could have interesting implications for research in various fields, including psychology, neuroscience and computer science. Specifically, it could help shed new light on how humans interpret sensory information and complete different real-world tasks, which could also inform the development of artificial intelligence (AI) techniques that closely emulate biological and mental processes.Computer Sciences[#item_full_content]

Elon Musk’s AI chatbot Grok produced inaccurate and contradictory responses when users sought to fact-check the Israel-Iran conflict, a study said Tuesday, raising fresh doubts about its reliability as a debunking tool.Elon Musk’s AI chatbot Grok produced inaccurate and contradictory responses when users sought to fact-check the Israel-Iran conflict, a study said Tuesday, raising fresh doubts about its reliability as a debunking tool.Internet[#item_full_content]

A US federal judge has sided with Anthropic regarding training its artificial intelligence models on copyrighted books without authors’ permission, a decision with the potential to set a major legal precedent in AI deployment.A US federal judge has sided with Anthropic regarding training its artificial intelligence models on copyrighted books without authors’ permission, a decision with the potential to set a major legal precedent in AI deployment.Business[#item_full_content]

A study published in PeerJ Computer Science reveals significant accuracy-bias trade-offs in artificial intelligence text detection tools that could disproportionately impact non-native English speakers and certain academic disciplines in scholarly publishing.A study published in PeerJ Computer Science reveals significant accuracy-bias trade-offs in artificial intelligence text detection tools that could disproportionately impact non-native English speakers and certain academic disciplines in scholarly publishing.Machine learning & AI[#item_full_content]

Visitors to France’s famed Palace of Versailles can now strike up a conversation with talking statues instead of listening to a traditional audio guide, as part of a new collaboration with artificial intelligence companies, the palace has said.Visitors to France’s famed Palace of Versailles can now strike up a conversation with talking statues instead of listening to a traditional audio guide, as part of a new collaboration with artificial intelligence companies, the palace has said.Hi Tech & Innovation[#item_full_content]

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.Machine learning & AI[#item_full_content]

Artists urgently need stronger defenses to protect their work from being used to train AI models without their consent.Artists urgently need stronger defenses to protect their work from being used to train AI models without their consent.Security[#item_full_content]

Time-consuming testing and computer simulations are bottlenecks in the design of new materials. A thesis from the University of Gothenburg aims to develop an AI model that can efficiently determine the durability and strength of woven composite materials.Time-consuming testing and computer simulations are bottlenecks in the design of new materials. A thesis from the University of Gothenburg aims to develop an AI model that can efficiently determine the durability and strength of woven composite materials.Energy & Green Tech[#item_full_content]

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.Electronics & Semiconductors[#item_full_content]

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory demands and increase computational and energy efficiency.BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the Institute of Science Tokyo, Japan. This breakthrough framework utilizes an innovative cross-partition message quantization technique and a novel training algorithm to significantly reduce memory demands and increase computational and energy efficiency.Hardware[#item_full_content]