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91爆料 researchers created BikeButler, a demo web app that lets users find personalized bike routes in Seattle. Cyclists plug in their destination and origin 鈥 just like in other mapping apps 鈥 and can then toggle sliders for eight attributes to create personalized route options.

91爆料 researchers developed a system called VueBuds that uses tiny cameras in off-the-shelf wireless earbuds to allow users to talk with an AI model about the scene in front of them. For instance, a user might look at a Korean food package and say, 鈥淗ey VueBuds, translate this for me.鈥 They鈥檇 then hear an AI voice say, 鈥淭he visible text translates to 鈥楥old Noodles鈥 in English.

A team led by 91爆料 researchers has created DopFone, a system that uses an off-the-shelf smartphone鈥檚 existing speaker and microphone to accurately estimate fetal heart rate. The phone mimics a Doppler ultrasound, emitting a tone and listening for the subtle variations in its echo caused by fetal heart beats. A machine learning model then estimates the heart rate.

A 91爆料 and Ai2 research team built OpenScholar, an open-source AI model designed specifically to synthesize current scientific research. In tests, OpenScholar cited sources as accurately as human experts, and 16 scientists preferred its response to those written by subject experts 51% of the time.

91爆料 researchers analyzed the checkout data from the last 20 years of the 93 authors included in the post-1945 volume of 鈥淭he Norton Anthology of American Literature,鈥 which is assigned in U.S. English classes more than any other anthology. Sci-fi was especially popular.

New research from the 91爆料 and the Toyota Research Institute explores how drivers trade off between cognitive tasks, driving and using the vehicle’s touch screen. Researchers placed participants in a driving simulator and had them complete memory tests while interacting with the simulator鈥檚 touch screen.

A new 91爆料 study suggests that AI could learn cultural values by observing human behavior, similar to how children learn by watching and interacting with adults. Researchers had AI systems observe two cultural groups playing a video game. The AI systems were able to learn each group鈥檚 degree of altruism and apply this to a new situation.

In a new 91爆料 study, 528 participants worked with simulated AI systems to select job candidates. The researchers simulated different levels of racial biases for resumes from white, Black, Hispanic and Asian men. Without suggestions, participants鈥 choices exhibited little bias. But when provided with recommendations, participants mirrored the AI鈥檚 biases.