- The Algorithm That Automatically Detects Polyps in Images from Camera Pills
Analysing the footage from camera pills is a time-consuming task for medical professionals. Now computer scientists are attempting to automate the process
- With Personal Data, Predictive Apps Stay a Step Ahead
Apps that proactively help people with their lives represent a significant departure from earlier approaches to software.
A new type of mobile app is departing from a long-standing practice in computing. Typically, computers have just dumbly waited for their human operators to ask for help. But now applications based on machine learning software can speak up with timely information even without being directly asked for it. They might automatically pull up a boarding pass for your flight just as you arrive at the airport, or tell you that current traffic conditions require you to leave for your next meeting within 10 minutes.
- How to Mine Cell Phone Data Without Invading Your Privacy
Researchers use phone records to build a mobility model of the Los Angeles and New York City regions with new privacy guarantees.
Researchers at AT&T, Rutgers University, Princeton, and Loyola University have devised a way to mine cell-phone data without revealing your identity, potentially showing a route to avoiding privacy pitfalls that have so far confined global cell-phone data-mining work to research labs.
- New Kind of LED Could Mean Better Google-Glass-Like Displays
Micro-display LED tech could light up the next generation of face-wearable gadgets.
A tiny head-mounted display, like the one in Google Glass, will only be useful if you can see on-screen alerts and information clearly. And that’s tricky to achieve, especially without draining battery life—as Google notes, it can be hard to use Glass’s projected display in bright sunlight.
- Reserchers Create "Hate Map" of the U.S. With Twitter Data
The same researchers previously mapped racist Tweets about President Obama. In both cases there’s reason to be a little skeptical.
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