Meta entered the race for automated coding tools Wednesday when it announced a new app for developers of artificial intelligence products, competing with other major AI labs for customers and revenue.Meta entered the race for automated coding tools Wednesday when it announced a new app for developers of artificial intelligence products, competing with other major AI labs for customers and revenue.Machine learning & AI[#item_full_content]
Last year, Melanie Walsh, a University of Washington assistant professor in the Information School, wrote an article examining how 300 popular children’s books gendered their animal characters. Of the 13 most common animals, most were male—unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? More than a 90% chance it was a “he.”Last year, Melanie Walsh, a University of Washington assistant professor in the Information School, wrote an article examining how 300 popular children’s books gendered their animal characters. Of the 13 most common animals, most were male—unless they happened to be cats, ducks or birds, which trended slightly more female. But a frog, a wolf? More than a 90% chance it was a “he.”Consumer & Gadgets[#item_full_content]
You search online for a pair of sneakers. Minutes later, similar shoes appear on social media feeds. A shopping site offers a limited-time discount and suggests a matching jacket. This is no longer just an ad shown to millions of people. Increasingly, artificial intelligence is helping decide not only what you see but also which sales pitch is most likely to persuade you.You search online for a pair of sneakers. Minutes later, similar shoes appear on social media feeds. A shopping site offers a limited-time discount and suggests a matching jacket. This is no longer just an ad shown to millions of people. Increasingly, artificial intelligence is helping decide not only what you see but also which sales pitch is most likely to persuade you.Consumer & Gadgets[#item_full_content]
An Anthropic AI model created fake online identities to send emails to real people in an attempt to get malicious code approved during tests by a UK government research group.An Anthropic AI model created fake online identities to send emails to real people in an attempt to get malicious code approved during tests by a UK government research group.Machine learning & AI[#item_full_content]
Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most relevant information and allocate cognitive effort based on the task.Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most relevant information and allocate cognitive effort based on the task.Computer Sciences[#item_full_content]
Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most relevant information and allocate cognitive effort based on the task.Artificial neural networks were originally inspired by the human brain, but they are still far less efficient at processing information. One reason the human brain is so efficient is its ability to focus only on the most relevant information and allocate cognitive effort based on the task.[#item_full_content]
When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.[#item_full_content]
When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.Robotics[#item_full_content]
Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and effective as possible with the goal of improving personalized treatment recommendations in mental health and other fields.Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and effective as possible with the goal of improving personalized treatment recommendations in mental health and other fields.Machine learning & AI[#item_full_content]
People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that many people’s ability to spot AI-generated content is limited.People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that many people’s ability to spot AI-generated content is limited.Consumer & Gadgets[#item_full_content]
