For the millions of deaf people communicating is a large challenge. EnableTalk is attempting to solve this problem with a pair of computerized gloves that recognizes sign language and uses text-to-speech to convert the signs to spoken language. Watch the above video to learn more. The prototype gloves link with a smart phone and use a variety of sensors to recognized the signs. An app on the users smart phone then speaks the signs using text-to-speech so people who do not know sign language can communicate with the deaf user. The gloves could end the need for a sign language user to pass notes to non-sign language user, but the non-sign language user would still need to pass notes back to the hearing impaired person. The EnableTalk seem promising and will hopefully be available to consumers in the near future. Click read more below to view a picture of the prototype gloves.
I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems. I share the same view. The best scientists I have met are not statisticians by academic training. They are domain experts and design thinkers and they all share one common trait: they love data!...
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