Ana Manasovska is working on improving the semantic recognition and recommendation platform for the inventors.
By using artificial intelligence to comb through the vast array of published research and detect the findings most relevant for invention, engineers can magnify their creative ability and invent faster and more disruptively than has been previously possible. This is the approach that Ana Manasovska helped develop as a Master's student at EPFL, and the one used by creative Artificial Intelligence firm Iprova, based at EPFL's Innovation Park, to come up with a wide range of inventions. Manasovska, whose Master's research involved testing different phrase recognition methods, now works for the firm. Inventions like sensors for self-driving cars that can monitor passengers' health, a geolocation system that can help smooth out passenger traffic on public transportation, and a smartphone feature for virtually painting the light ambience of a room involve pulling together data from several research fields in an inventive way. The ever increasing amount of information in the world, spread across many different industries and markets, makes this an increasingly difficult task. To make it possible for inventors to sense the inventive signal in this ever increasing amount of noise, AI researchers and software developers at Iprova - the innovation creation firm that came up with the aforementioned inventions - have developed an artificial intelligence platform that includes sophisticated semantic analysis algorithms. Ana Manasovska helped create this program as part of her Master's degree in computer science at EPFL, in association with the school's Artificial Intelligence Laboratory. She now works for the company, which is based at EPFL's Innovation Park, to further develop the software that makes it easier for engineers to invent faster and more disruptively.. Millions of publications sifted
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