By now, you’ve probably heard about the upcoming film Yesterday. It follows a struggling musician who gets the break of a lifetime when he’s rudely waylaid by a truck, and he awakens to a world suddenly forgetful of The Beatles. Through sheer bashfulness and chutzpah, he starts to “write” hit song after hit song from the Beatles catalog for a girl he’s after. We can guess where the movies goes: He gets the girl, writes the hit song, rides off into the sunset. The whole movie is a sundae in cinematic form: Sweet and reliable with a pleasant aftertaste.
It’s your high school English teacher’s dogma: “cut the likes, replace the so’s and the um’s, speak slowly yet clearly — don’t stutter.” This so-called “word vomit” often doesn’t leave people’s vocabulary even past school, and Audrey Mann Cronin ’87 is determined to professionalize speech through her app, LikeSo.
Although there is still work to be done to achieve full representation across the science and engineering fields, Cornell is already ahead of the curve in achieving a 1:1 ratio of women to men in engineering disciplines
The technical possibilities of tomorrow are just as incredible as those of the 1950s because they are real. Simultaneously everything is within reach and nothing. We use new technologies but few people understand their function. Machines, programs and devices on the horizon, rushing towards us, will be far less widely understood than would those of the 20th century, had they come to pass. It is conceivable that most people, with a modicum of study, could understand the functioning of a color TV or a flying car depicted in a pulp science fiction book.
Siri debuted in 2011 as one of the first intelligent personal assistants. Since then, personal assistants have become an integral part of the smartphone experience, providing a way to more efficiently interact with the hand-held device. They can perform simple tasks like taking notes and setting reminders. While this doesn’t seem like much in 2016, these features were ground-breaking a mere five years ago. Today, Facebook uses facial recognition that makes tagging friends easier, while Netflix and Spotify use learning algorithms to suggest your next favorite movie.