Finding a gap in the research (1:48) will help you distinguish the characteristics of good research questions & bad research questions and makes a case for looking where experts disagree or where there is no definitive answer for a good research question!
Many of us use smartphones and rely on tools like auto-complete and spelling auto-correct to make using these devices more pleasant, but building these tools creates a conundrum. On the one hand, machine-learning algorithms require data to "learn," but on the other hand, who among us is willing to send a carbon copy of all our text messages to phone manufacturers to provide that data? Join UC Berkeley computer scientist and engineer Jelani Nelson as he shares how mathematics can be used to construct schemes that, perhaps paradoxically, provably maintain user privacy while still allowing such machine-learning algorithms to learn from our data.
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