A common truism among statisticians is that “the data don’t lie.” However, recent findings by Italian researchers may make those who study data think twice before making such assumptions.A common truism among statisticians is that “the data don’t lie.” However, recent findings by Italian researchers may make those who study data think twice before making such assumptions.Machine learning & AI[#item_full_content]

Advertising content generated by artificial intelligence (AI) is perceived as being of higher quality than content produced by human experts, according to a new research paper in Judgment and Decision Making.Advertising content generated by artificial intelligence (AI) is perceived as being of higher quality than content produced by human experts, according to a new research paper in Judgment and Decision Making.Business[#item_full_content]

To most effectively deliver aid to alleviate poverty, you have to know where the people most in need are. In many countries, this is often done with household surveys. But these are usually infrequent and cover limited locations.To most effectively deliver aid to alleviate poverty, you have to know where the people most in need are. In many countries, this is often done with household surveys. But these are usually infrequent and cover limited locations.Machine learning & AI[#item_full_content]

Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.[#item_full_content]

Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.Researchers from EPFL have just released Meditron, the world’s best performing open source large language model tailored to the medical field designed to help guide clinical decision-making.Computer Sciences[#item_full_content]

You’ve likely heard that “experience is the best teacher”—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities.You’ve likely heard that “experience is the best teacher”—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities.Robotics[#item_full_content]

You’ve likely heard that “experience is the best teacher”—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities.You’ve likely heard that “experience is the best teacher”—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities.[#item_full_content]

To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training.To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training.Robotics[#item_full_content]

To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training.To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training.[#item_full_content]

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