Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots developed so far are still unable to tackle more complex and creative tasks, such as cooking in collaboration with human users.[#item_full_content]
Artificial intelligence aficionados are betting that the technology will help solve humanity’s biggest problems, from wars to global warming, but in practice, these may be unrealistic ambitions for now.Artificial intelligence aficionados are betting that the technology will help solve humanity’s biggest problems, from wars to global warming, but in practice, these may be unrealistic ambitions for now.Machine learning & AI[#item_full_content]
With misinformation and disinformation proliferating online, many may wish for a simple, reliable, automated “fake news” detection system to easily identify falsehoods from truths. Often with the help of machine learning, many scientists have developed such tools, but experts advise caution when deploying them.With misinformation and disinformation proliferating online, many may wish for a simple, reliable, automated “fake news” detection system to easily identify falsehoods from truths. Often with the help of machine learning, many scientists have developed such tools, but experts advise caution when deploying them.Machine learning & AI[#item_full_content]
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.[#item_full_content]
In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.In a recent article published in the National Science Review, researchers have proposed a new operator learning framework called PIANO. PIANO uses self-supervised learning to extract representations containing physical invariants from partial differential equations (PDEs) systems with different physical mechanisms, thereby extending the generalization ability of neural operators to various physics scenarios.Computer Sciences[#item_full_content]
Researchers at NYU Tandon School of Engineering have revealed critical shortcomings in recently-proposed methods aimed at making powerful text-to-image generative AI systems safer for public use.Researchers at NYU Tandon School of Engineering have revealed critical shortcomings in recently-proposed methods aimed at making powerful text-to-image generative AI systems safer for public use.Security[#item_full_content]
EPFL researchers have shown that large language models primarily trained on English text seem to use English internally, even when they are prompted in another language. As AI increasingly runs our lives, this may have important consequences regarding linguistic and cultural bias.EPFL researchers have shown that large language models primarily trained on English text seem to use English internally, even when they are prompted in another language. As AI increasingly runs our lives, this may have important consequences regarding linguistic and cultural bias.Machine learning & AI[#item_full_content]
To discourage the inefficient manual invention and configuration of new metaheuristic optimization algorithms, a research team at IRIDIA, the artificial intelligence laboratory of the Université Libre de Bruxelles, studied the literature and outlined the strengths of automatic approaches to the design of metaheuristics, especially compared to the many redundant—and at times outlandish—metaphor-based metaheuristics.To discourage the inefficient manual invention and configuration of new metaheuristic optimization algorithms, a research team at IRIDIA, the artificial intelligence laboratory of the Université Libre de Bruxelles, studied the literature and outlined the strengths of automatic approaches to the design of metaheuristics, especially compared to the many redundant—and at times outlandish—metaphor-based metaheuristics.[#item_full_content]
To discourage the inefficient manual invention and configuration of new metaheuristic optimization algorithms, a research team at IRIDIA, the artificial intelligence laboratory of the Université Libre de Bruxelles, studied the literature and outlined the strengths of automatic approaches to the design of metaheuristics, especially compared to the many redundant—and at times outlandish—metaphor-based metaheuristics.To discourage the inefficient manual invention and configuration of new metaheuristic optimization algorithms, a research team at IRIDIA, the artificial intelligence laboratory of the Université Libre de Bruxelles, studied the literature and outlined the strengths of automatic approaches to the design of metaheuristics, especially compared to the many redundant—and at times outlandish—metaphor-based metaheuristics.Computer Sciences[#item_full_content]
Microsoft Corp. plans to release artificial intelligence tools on April 1 that will help cybersecurity workers produce summaries of suspicious incidents and ferret out the devious methods hackers use to obscure their intentions.Microsoft Corp. plans to release artificial intelligence tools on April 1 that will help cybersecurity workers produce summaries of suspicious incidents and ferret out the devious methods hackers use to obscure their intentions.Security[#item_full_content]
