Speed alum develops app for Amazon Alexa

July 10, 2017

Last month, Speed School alum and Data Scientist at Workday Inc., Amine Ben Khalifa, made the world just a little more convenient for academics. A graduate of the Department of Computer Engineering and Computer Science, Khalifa developed an application for the Amazon Alexa AI to seek and find research relative to his field of study. Rather than spending time filtering through the multitude of papers submitted to Arxiv.org, an open access archive that features over a million submissions in the fields of Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance and Statistics, Khalifa has engineered a method by which Alexa can filter through the results of his daily inquiring, reading aloud any new data that may be pertinent to his interest.

Khalifa hopes his work may contribute to accelerating research in the computer vision and machine learning fields. He admits that in his free time he works to, “research and develop light-weight tools to accelerate and facilitate routine research tasks commonly encountered in the field of machine learning and computer vision.”

“As a forward-looking researcher, who’s always looking to stay up to date on latest research papers, I got the idea of extending the capabilities of Echo device and make it even more useful by developing a skill that enables the AI-powered Alexa bot to find me the latest AI (Artificial Intelligence) research papers for the day, read the titles and give a summary of specific projects, all via voice control,” says Khalifa.

As it stands, he has no ambition to patent his idea, leaving it open for future users to employ as necessary. He admits, “I don't think it's patentable. Even if it was, I'll not pursue a patent for this. I open sourced the code and hope that anyone who's interested can use it and adapted to their field/applications.”