Page 25 - Computing Machinery News Today

Researchers at Drexel University and Vanderbilt University are trying to figure out exactly what young users are experiencing on Instagram, in hopes of curtailing the negative trend and getting them the support they need.

Our relationship with horses has existed for millennia but has only now been leveraged to provide insights into human-robot interactions.

In a first-of-its-kind effort, social media researchers from Drexel University, Vanderbilt University, Georgia Institute of Technology and Boston University are turning to young social media users to help build a machine learning program that can spot unwanted sexual advances on Instagram.

In a first-of-its-kind effort, social media researchers from Drexel University, Vanderbilt University, Georgia Institute of Technology and Boston University are turning to young social media users to help build a machine learning program that can spot unwanted sexual advances on Instagram.

Yael Tauman Kalai PhD ’06, an MIT Department of Electrical Engineering and Computer Science (EECS) adjunct professor, member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior principal researcher at Microsoft Rese

A free online game gives you two minutes to have a conversation with someone (or something) and guess whether theyre a fellow human or an AI.

Machine learning tech may be key to protecting young users from harm without eavesdropping on them. A team of researchers from four leading universities has found a way to use machine learning technology to flag risky conversations on Instagram without having to eavesdrop on them.

Historically, learn to code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.

Achievements were highlighted, including faculty awards recognizing the university’s global commitment that emphasized the theme of the day.

Youth in the United States are targets of cross-platform digital abuse from peers, strangers, offline acquaintances and even relatives, with threats ranging from harassment and sexual violence to financial fraud, according to a new collaborative study and call-to-action from Cornell and Google researchers.